objectives of my thesis

Aims and Objectives – A Guide for Academic Writing
Doing a PhD

One of the most important aspects of a thesis, dissertation or research paper is the correct formulation of the aims and objectives. This is because your aims and objectives will establish the scope, depth and direction that your research will ultimately take. An effective set of aims and objectives will give your research focus and your reader clarity, with your aims indicating what is to be achieved, and your objectives indicating how it will be achieved.

Introduction

There is no getting away from the importance of the aims and objectives in determining the success of your research project. Unfortunately, however, it is an aspect that many students struggle with, and ultimately end up doing poorly. Given their importance, if you suspect that there is even the smallest possibility that you belong to this group of students, we strongly recommend you read this page in full.

This page describes what research aims and objectives are, how they differ from each other, how to write them correctly, and the common mistakes students make and how to avoid them. An example of a good aim and objectives from a past thesis has also been deconstructed to help your understanding.

What Are Aims and Objectives?

Research aims.

A research aim describes the main goal or the overarching purpose of your research project.

In doing so, it acts as a focal point for your research and provides your readers with clarity as to what your study is all about. Because of this, research aims are almost always located within its own subsection under the introduction section of a research document, regardless of whether it’s a thesis , a dissertation, or a research paper .

A research aim is usually formulated as a broad statement of the main goal of the research and can range in length from a single sentence to a short paragraph. Although the exact format may vary according to preference, they should all describe why your research is needed (i.e. the context), what it sets out to accomplish (the actual aim) and, briefly, how it intends to accomplish it (overview of your objectives).

To give an example, we have extracted the following research aim from a real PhD thesis:

Example of a Research Aim

The role of diametrical cup deformation as a factor to unsatisfactory implant performance has not been widely reported. The aim of this thesis was to gain an understanding of the diametrical deformation behaviour of acetabular cups and shells following impaction into the reamed acetabulum. The influence of a range of factors on deformation was investigated to ascertain if cup and shell deformation may be high enough to potentially contribute to early failure and high wear rates in metal-on-metal implants.

Note: Extracted with permission from thesis titled “T he Impact And Deformation Of Press-Fit Metal Acetabular Components ” produced by Dr H Hothi of previously Queen Mary University of London.

Research Objectives

Where a research aim specifies what your study will answer, research objectives specify how your study will answer it.

They divide your research aim into several smaller parts, each of which represents a key section of your research project. As a result, almost all research objectives take the form of a numbered list, with each item usually receiving its own chapter in a dissertation or thesis.

Following the example of the research aim shared above, here are it’s real research objectives as an example:

Example of a Research Objective

Develop finite element models using explicit dynamics to mimic mallet blows during cup/shell insertion, initially using simplified experimentally validated foam models to represent the acetabulum.
Investigate the number, velocity and position of impacts needed to insert a cup.
Determine the relationship between the size of interference between the cup and cavity and deformation for different cup types.
Investigate the influence of non-uniform cup support and varying the orientation of the component in the cavity on deformation.
Examine the influence of errors during reaming of the acetabulum which introduce ovality to the cavity.
Determine the relationship between changes in the geometry of the component and deformation for different cup designs.
Develop three dimensional pelvis models with non-uniform bone material properties from a range of patients with varying bone quality.
Use the key parameters that influence deformation, as identified in the foam models to determine the range of deformations that may occur clinically using the anatomic models and if these deformations are clinically significant.

It’s worth noting that researchers sometimes use research questions instead of research objectives, or in other cases both. From a high-level perspective, research questions and research objectives make the same statements, but just in different formats.

Taking the first three research objectives as an example, they can be restructured into research questions as follows:

Restructuring Research Objectives as Research Questions

Can finite element models using simplified experimentally validated foam models to represent the acetabulum together with explicit dynamics be used to mimic mallet blows during cup/shell insertion?
What is the number, velocity and position of impacts needed to insert a cup?
What is the relationship between the size of interference between the cup and cavity and deformation for different cup types?

Difference Between Aims and Objectives

Hopefully the above explanations make clear the differences between aims and objectives, but to clarify:

The research aim focus on what the research project is intended to achieve; research objectives focus on how the aim will be achieved.
Research aims are relatively broad; research objectives are specific.
Research aims focus on a project’s long-term outcomes; research objectives focus on its immediate, short-term outcomes.
A research aim can be written in a single sentence or short paragraph; research objectives should be written as a numbered list.

How to Write Aims and Objectives

Before we discuss how to write a clear set of research aims and objectives, we should make it clear that there is no single way they must be written. Each researcher will approach their aims and objectives slightly differently, and often your supervisor will influence the formulation of yours on the basis of their own preferences.

Regardless, there are some basic principles that you should observe for good practice; these principles are described below.

Your aim should be made up of three parts that answer the below questions:

Why is this research required?
What is this research about?
How are you going to do it?

The easiest way to achieve this would be to address each question in its own sentence, although it does not matter whether you combine them or write multiple sentences for each, the key is to address each one.

The first question, why , provides context to your research project, the second question, what , describes the aim of your research, and the last question, how , acts as an introduction to your objectives which will immediately follow.

Scroll through the image set below to see the ‘why, what and how’ associated with our research aim example.

Note: Your research aims need not be limited to one. Some individuals per to define one broad ‘overarching aim’ of a project and then adopt two or three specific research aims for their thesis or dissertation. Remember, however, that in order for your assessors to consider your research project complete, you will need to prove you have fulfilled all of the aims you set out to achieve. Therefore, while having more than one research aim is not necessarily disadvantageous, consider whether a single overarching one will do.

Research Objectives

Each of your research objectives should be SMART :

Specific – is there any ambiguity in the action you are going to undertake, or is it focused and well-defined?
Measurable – how will you measure progress and determine when you have achieved the action?
Achievable – do you have the support, resources and facilities required to carry out the action?
Relevant – is the action essential to the achievement of your research aim?
Timebound – can you realistically complete the action in the available time alongside your other research tasks?

In addition to being SMART, your research objectives should start with a verb that helps communicate your intent. Common research verbs include:

Table of Research Verbs to Use in Aims and Objectives

Last, format your objectives into a numbered list. This is because when you write your thesis or dissertation, you will at times need to make reference to a specific research objective; structuring your research objectives in a numbered list will provide a clear way of doing this.

To bring all this together, let’s compare the first research objective in the previous example with the above guidance:

Checking Research Objective Example Against Recommended Approach

Research Objective:

1. Develop finite element models using explicit dynamics to mimic mallet blows during cup/shell insertion, initially using simplified experimentally validated foam models to represent the acetabulum.

Checking Against Recommended Approach:

Q: Is it specific? A: Yes, it is clear what the student intends to do (produce a finite element model), why they intend to do it (mimic cup/shell blows) and their parameters have been well-defined ( using simplified experimentally validated foam models to represent the acetabulum ).

Q: Is it measurable? A: Yes, it is clear that the research objective will be achieved once the finite element model is complete.

Q: Is it achievable? A: Yes, provided the student has access to a computer lab, modelling software and laboratory data.

Q: Is it relevant? A: Yes, mimicking impacts to a cup/shell is fundamental to the overall aim of understanding how they deform when impacted upon.

Q: Is it timebound? A: Yes, it is possible to create a limited-scope finite element model in a relatively short time, especially if you already have experience in modelling.

Q: Does it start with a verb? A: Yes, it starts with ‘develop’, which makes the intent of the objective immediately clear.

Q: Is it a numbered list? A: Yes, it is the first research objective in a list of eight.

Mistakes in Writing Research Aims and Objectives

1. making your research aim too broad.

Having a research aim too broad becomes very difficult to achieve. Normally, this occurs when a student develops their research aim before they have a good understanding of what they want to research. Remember that at the end of your project and during your viva defence , you will have to prove that you have achieved your research aims; if they are too broad, this will be an almost impossible task. In the early stages of your research project, your priority should be to narrow your study to a specific area. A good way to do this is to take the time to study existing literature, question their current approaches, findings and limitations, and consider whether there are any recurring gaps that could be investigated .

Note: Achieving a set of aims does not necessarily mean proving or disproving a theory or hypothesis, even if your research aim was to, but having done enough work to provide a useful and original insight into the principles that underlie your research aim.

2. Making Your Research Objectives Too Ambitious

Be realistic about what you can achieve in the time you have available. It is natural to want to set ambitious research objectives that require sophisticated data collection and analysis, but only completing this with six months before the end of your PhD registration period is not a worthwhile trade-off.

3. Formulating Repetitive Research Objectives

Each research objective should have its own purpose and distinct measurable outcome. To this effect, a common mistake is to form research objectives which have large amounts of overlap. This makes it difficult to determine when an objective is truly complete, and also presents challenges in estimating the duration of objectives when creating your project timeline. It also makes it difficult to structure your thesis into unique chapters, making it more challenging for you to write and for your audience to read.

Fortunately, this oversight can be easily avoided by using SMART objectives.

Hopefully, you now have a good idea of how to create an effective set of aims and objectives for your research project, whether it be a thesis, dissertation or research paper. While it may be tempting to dive directly into your research, spending time on getting your aims and objectives right will give your research clear direction. This won’t only reduce the likelihood of problems arising later down the line, but will also lead to a more thorough and coherent research project.

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How to Write the Dissertation Aims and Objectives – Guide & Examples

Published by Grace Graffin at January 27th, 2023 , Revised On October 9, 2023

Aims and objectives are among the essential aspects of a dissertation. If you write aims and objectives effectively, they can act as a foundation to give your research clarity and focus.

This article will provide you with all the necessary information regarding aims and objectives, their differences, writing tips , and the common mistakes you should avoid while writing them.

The aim is often a single sentence or a short paragraph that describes your dissertation’s main goal and intent. It tells what you hope to achieve at the end. You should write the aim so that it becomes identifiable when it is achieved with the completion of your dissertation .

The aim is written in a subsection of the introduction to clarify the overall purpose of the dissertation .

Example: It is often observed that employees in culturally diverse workplaces struggle to work effectively in a team. A probable cause of this issue is bullying at the workplace. This research investigates the impact of bullying on employee job satisfaction at culturally diverse workplaces and the resulting loss of employee productivity. This research will use surveys and case study analysis to analyze the impact of bullying on employees.

The objectives in a dissertation describe the ways through which you intend to achieve the research aim. They are specific statements that break down the aim into several smaller key sections of the overall research. Suitable objectives can help you stay focused and conduct research in the direction of your aim.

The number of objectives should be realistic; usually, between three to six, and each one should be possible to achieve. The following example shows the objectives for the previously-mentioned dissertation aim.

1. identification of the behaviors that are considered as bullying 2. exploring the factors that cause bullying at a culturally diverse workplace 3. analyzing the relationship between bullying and job satisfaction of employees 4. providing suitable recommendations on minimizing the bullying at the workplace

The objectives of a dissertation should be SMART.

Specific: should be precise, focused, and well-defined
Measurable: the progress should be measurable, and you should be able to determine when you have achieved an objective.
Achievable: you should be able to carry out the required action within your available resources
Relevant: should be related to the dissertation aim
Time-bound: should be possible within the available time

Differences between aims and objectives

Aims and objectives are often mixed, but there are clear differences between them.

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How to write aims and objectives?

There is no particular way or standard to write the aims and objectives. Different researchers have different writing styles, and often it can be influenced by your research supervisor. However, you should follow certain basic principles while writing aims and objectives in a dissertation.

Writing the aim statement

The aim statement should cover the following essential elements.

Why is the research necessary? (covers the underlying problem on which the study is to be conducted)
What is the research about? (description of the research title)
How are you going to conduct it? (a brief statement of intended research methods)

An appropriate aim clearly defines the research purpose without confusing the reader. If you struggle to explain your research and its importance in simpler terms, you should consider refining your research to clarify it further.

Writing objectives

The objectives describe how you would achieve your research aim. You can do this through the following steps,

The first one to two objectives can be applied to the literature review . (Verbs to be used: investigate, examine, study)
One objective can be applied to the methodology portion. (Verbs to be used: collect, select, demonstrate, estimate)
Two to three objectives can cover the critical evaluation or discussion chapters (Verbs to be used: analyze, compare, evaluate)
The final objective will cover the conclusion or recommendation portion. (Verbs to be used: conclude, recommend)

Instead of writing like a paragraph, the objectives should be written as a numbered list to give them more clarity.

How many aims and objectives should be there?

It depends upon the topic of your research and mainly upon your supervisor’s requirements. Generally, a dissertation has a single broad statement as the research aim. However, it is acceptable to include a main aim along with two to three subsidiary aims.

Similarly, the number of objectives should be realistic and sufficient to measure the progress regarding the achievement of the research aim. Their number can generally vary from three to six depending upon the aim.

Common mistakes to avoid while writing research aims and objectives

Writing a broad research aim

Writing a broad research aim is a common mistake, and it often becomes difficult to achieve. It may create a problem when you are asked to prove how you have achieved your aims during your viva defense . It would be best to narrow your study to a specific area in the early stages of the dissertation.

Formulating overlapping research objectives

The objectives should be written such that they are measurable and distinct from each other. If they overlap, it makes it difficult to structure your dissertation properly in specific chapters.

Setting unrealistic aims

Students often get over-ambitious while describing the research aim and face problems afterward in achieving those aims. You should avoid this mistake and be realistic about what you can achieve in the available time and resources.

Aims and objectives are the sections that require significant time and attention to avoid future hassles while conducting research and writing your dissertation.

Frequently Asked Questions

How to set dissertation aims and objectives.

To set dissertation aims and objectives, define your research goals clearly. Aims state what you want to achieve, while objectives outline specific, measurable steps to reach those goals. Ensure they align with your research question and contribute to your study’s significance.

How to Write Research Objectives

3-minute read

22nd November 2021

Writing a research paper, thesis, or dissertation ? If so, you’ll want to state your research objectives in the introduction of your paper to make it clear to your readers what you’re trying to accomplish. But how do you write effective research objectives? In this post, we’ll look at two key topics to help you do this:

How to use your research aims as a basis for developing objectives.
How to use SMART criteria to refine your research objectives.

For more advice on how to write strong research objectives, see below.

Research Aims and Objectives

There is an important difference between research aims and research objectives:

A research aim defines the main purpose of your research. As such, you can think of your research aim as answering the question “What are you doing?”
Research objectives (as most studies will have more than one) are the steps you will take to fulfil your aims. As such, your objectives should answer the question “How are you conducting your research?”

For instance, an example research aim could be:

This study will investigate the link between dehydration and the incidence of urinary tract infections (UTIs) in intensive care patients in Australia.

To develop a set of research objectives, you would then break down the various steps involved in meeting said aim. For example:

This study will investigate the link between dehydration and the incidence of urinary tract infections (UTIs) in intensive care patients in Australia. To achieve this, the study objectives w ill include:

Replicat ing a small Singaporean study into the role of dehydration in UTIs in hospital patients (Sepe, 2018) in a larger Australian cohort.
Trialing the use of intravenous fluids for intensive care patients to prevent dehydration.
Assessing the relationship between the age of patients and quantities of intravenous fluids needed to counter dehydration.

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Note that the objectives don’t go into any great detail here. The key is to briefly summarize each component of your study. You can save details for how you will conduct the research for the methodology section of your paper.

Make Your Research Objectives SMART

A great way to refine your research objectives is to use SMART criteria . Borrowed from the world of project management, there are many versions of this system. However, we’re going to focus on developing specific, measurable, achievable, relevant, and timebound objectives.

In other words, a good research objective should be all of the following:

S pecific – Is the objective clear and well-defined?
M easurable – How will you know when the objective has been achieved? Is there a way to measure the thing you’re seeking to do?
A chievable – Do you have the support and resources necessary to undertake this action? Are you being overly ambitious with this objective?
R elevant – Is this objective vital for fulfilling your research aim?
T imebound – Can this action be realistically undertaken in the time you have?

If you follow this system, your research objectives will be much stronger.

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Our academic editors can help you with research papers and proposals , as well as any other scholarly document you need checking. And this will help to ensure that your academic writing is always clear, concise, and precise.

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Think of yourself as a member of a jury, listening to a lawyer who is presenting an opening argument. You'll want to know very soon whether the lawyer believes the accused to be guilty or not guilty, and how the lawyer plans to convince you. Readers of academic essays are like jury members: before they have read too far, they want to know what the essay argues as well as how the writer plans to make the argument. After reading your thesis statement, the reader should think, "This essay is going to try to convince me of something. I'm not convinced yet, but I'm interested to see how I might be."

An effective thesis cannot be answered with a simple "yes" or "no." A thesis is not a topic; nor is it a fact; nor is it an opinion. "Reasons for the fall of communism" is a topic. "Communism collapsed in Eastern Europe" is a fact known by educated people. "The fall of communism is the best thing that ever happened in Europe" is an opinion. (Superlatives like "the best" almost always lead to trouble. It's impossible to weigh every "thing" that ever happened in Europe. And what about the fall of Hitler? Couldn't that be "the best thing"?)

A good thesis has two parts. It should tell what you plan to argue, and it should "telegraph" how you plan to argue—that is, what particular support for your claim is going where in your essay.

Steps in Constructing a Thesis

First, analyze your primary sources. Look for tension, interest, ambiguity, controversy, and/or complication. Does the author contradict himself or herself? Is a point made and later reversed? What are the deeper implications of the author's argument? Figuring out the why to one or more of these questions, or to related questions, will put you on the path to developing a working thesis. (Without the why, you probably have only come up with an observation—that there are, for instance, many different metaphors in such-and-such a poem—which is not a thesis.)

Once you have a working thesis, write it down. There is nothing as frustrating as hitting on a great idea for a thesis, then forgetting it when you lose concentration. And by writing down your thesis you will be forced to think of it clearly, logically, and concisely. You probably will not be able to write out a final-draft version of your thesis the first time you try, but you'll get yourself on the right track by writing down what you have.

Keep your thesis prominent in your introduction. A good, standard place for your thesis statement is at the end of an introductory paragraph, especially in shorter (5-15 page) essays. Readers are used to finding theses there, so they automatically pay more attention when they read the last sentence of your introduction. Although this is not required in all academic essays, it is a good rule of thumb.

Anticipate the counterarguments. Once you have a working thesis, you should think about what might be said against it. This will help you to refine your thesis, and it will also make you think of the arguments that you'll need to refute later on in your essay. (Every argument has a counterargument. If yours doesn't, then it's not an argument—it may be a fact, or an opinion, but it is not an argument.)

This statement is on its way to being a thesis. However, it is too easy to imagine possible counterarguments. For example, a political observer might believe that Dukakis lost because he suffered from a "soft-on-crime" image. If you complicate your thesis by anticipating the counterargument, you'll strengthen your argument, as shown in the sentence below.

Some Caveats and Some Examples

A thesis is never a question. Readers of academic essays expect to have questions discussed, explored, or even answered. A question ("Why did communism collapse in Eastern Europe?") is not an argument, and without an argument, a thesis is dead in the water.

A thesis is never a list. "For political, economic, social and cultural reasons, communism collapsed in Eastern Europe" does a good job of "telegraphing" the reader what to expect in the essay—a section about political reasons, a section about economic reasons, a section about social reasons, and a section about cultural reasons. However, political, economic, social and cultural reasons are pretty much the only possible reasons why communism could collapse. This sentence lacks tension and doesn't advance an argument. Everyone knows that politics, economics, and culture are important.

A thesis should never be vague, combative or confrontational. An ineffective thesis would be, "Communism collapsed in Eastern Europe because communism is evil." This is hard to argue (evil from whose perspective? what does evil mean?) and it is likely to mark you as moralistic and judgmental rather than rational and thorough. It also may spark a defensive reaction from readers sympathetic to communism. If readers strongly disagree with you right off the bat, they may stop reading.

An effective thesis has a definable, arguable claim. "While cultural forces contributed to the collapse of communism in Eastern Europe, the disintegration of economies played the key role in driving its decline" is an effective thesis sentence that "telegraphs," so that the reader expects the essay to have a section about cultural forces and another about the disintegration of economies. This thesis makes a definite, arguable claim: that the disintegration of economies played a more important role than cultural forces in defeating communism in Eastern Europe. The reader would react to this statement by thinking, "Perhaps what the author says is true, but I am not convinced. I want to read further to see how the author argues this claim."

A thesis should be as clear and specific as possible. Avoid overused, general terms and abstractions. For example, "Communism collapsed in Eastern Europe because of the ruling elite's inability to address the economic concerns of the people" is more powerful than "Communism collapsed due to societal discontent."

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How to Write Aims and Objectives for your Dissertation or Thesis?

Aims and Objectives Section for PhD Dissertation

Introduction

Understanding aims and objectives, crafting aims, break it down into objectives, developing specific objectives, align with research questions, consider feasibility, review and refine, seek feedback, documenting aims and objectives.

In a PhD or Post Graduate dissertation, the aims and objectives play a crucial role in shaping the research process and ensuring focus. They provide a clear roadmap for your study and serve as the guiding principles that steer your research in the right direction.

Aims represent the broader purpose or the overarching goal of your research. They define what you want to achieve with your dissertation. For example, let’s say you’re conducting a study on renewable energy sources. Your aim could be to analyze the economic viability and environmental impact of solar energy adoption in residential areas.

Objectives, on the other hand, break down the aim into specific, measurable, and achievable targets that help you accomplish your research goal. They outline the specific steps or tasks you need to undertake to fulfill the aim. Continuing with the previous example, some objectives could be:

Evaluate the current state of solar energy technologies and their efficiency.
Assess the economic costs and benefits associated with the installation of solar panels in residential areas.
Analyze the environmental impact of solar energy adoption in terms of carbon emissions reduction.
Investigate the potential barriers to the widespread adoption of solar energy in residential communities.
Develop recommendations for policymakers and stakeholders to promote the use of solar energy in residential areas.

These objectives, when combined, address different aspects related to the aim of analyzing the economic viability and environmental impact of solar energy adoption. Each objective guides a specific aspect of the research and contributes to answering the research questions.

By having clear aims and objectives, you establish a solid framework for your study. They help you stay focused on the main purpose of your research and prevent you from getting sidetracked or overwhelmed by tangential topics. Moreover, they provide clarity to both you and your readers, ensuring that your research remains coherent and well-structured.

In summary, clear aims and objectives are instrumental in guiding the research process of a PhD dissertation. They provide a roadmap, define the research goal, and break it down into specific targets. Through the example provided, it is evident how aims and objectives bring focus to a study on renewable energy sources and solar energy adoption in residential areas.

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Aims and objectives play a crucial role in guiding research projects. It’s important to define these terms and differentiate between them to ensure a clear focus in your work.

Aims represent the broader purpose or goal of your study. They define what you aim to achieve through your research project. Aims provide the overarching context and direction for your work, guiding the selection of topics, methodologies, and outcomes.

Example: Suppose you’re working on a PhD dissertation in computer science with a focus on natural language processing. Your aim could be: “To develop an efficient and accurate algorithm for sentiment analysis in social media data.”

In this example, the aim highlights the objective of creating an algorithm specifically for sentiment analysis in social media data, indicating the main objective of your research.

Objectives break down the aim into specific, measurable, and achievable targets that contribute to achieving the overall goal. They are more focused and concrete than aims, outlining the steps or tasks necessary to fulfill the aim. Objectives serve as the building blocks of your research, guiding the implementation and evaluation of your work.

Example: Continuing with the previous aim, let’s define some specific objectives:

Collect and preprocess a large dataset of social media posts for sentiment analysis.
Explore and compare existing sentiment analysis techniques to identify their limitations and strengths.
Design and develop a novel algorithm that addresses the limitations of current approaches.
Implement the algorithm and evaluate its performance on the collected dataset.
Analyze the results and compare them with existing state-of-the-art sentiment analysis methods.

These objectives, when combined, address different aspects necessary to fulfill the aim of developing an efficient and accurate sentiment analysis algorithm for social media data. Each objective represents a specific task or milestone that contributes to the overall research goal.

The relationship between aims and objectives is critical in driving research. Objectives are derived from the aim and provide the means to accomplish it. They act as stepping stones, guiding the researcher towards achieving the broader aim.

In summary, aims provide the broader context and goal, while objectives break down the aim into specific tasks and milestones. Together, they ensure focus and direction in your research, guiding the selection of topics, methodologies, and outcomes. The objectives serve as the means to achieve the overall aim, highlighting the relationship between aims and objectives in driving research in the computer science domain.

Formulating the overarching aim of your research is a crucial step in defining the direction and purpose of your dissertation. The aim represents the primary goal or intention of your study, and crafting it effectively is essential for setting the foundation of your research.

Research Topic: Enhancing cybersecurity in cloud computing environments.

In this example, the aim focuses on improving cybersecurity in the context of cloud computing. The aim should be formulated in a concise and focused manner that aligns with the research topic. Here’s an example of how the aim could be crafted effectively:

Aim: Develop an efficient and robust security framework for ensuring data confidentiality, integrity, and availability in cloud computing environments.

The above aim encapsulates the overall goal of the research, which is to develop a security framework for enhancing cybersecurity in cloud computing. It clearly states the intention to address key aspects such as data confidentiality, integrity, and availability. The aim is concise, specific, and directly aligned with the research topic.

The significance of a well-defined aim cannot be overstated. It serves as a guiding beacon throughout your research journey, providing a clear direction and purpose. A well-crafted aim helps you stay focused and ensures that your efforts are aligned with the research’s core objectives. It also helps you communicate the purpose of your study to others, including your advisor, peers, and potential readers of your dissertation.

Additionally, an effective aim sets the stage for the subsequent development of specific objectives and research questions. It serves as a foundation upon which you can break down the aim into smaller, manageable objectives that contribute to achieving the overall research goal. Each objective should align with the aim and work together harmoniously to address the research questions and gaps in the field.

Moreover, a concise and aligned aim allows readers to quickly grasp the essence of your research. It provides them with a clear understanding of the research’s scope and purpose. By stating the aim concisely and aligning it with the research topic, you demonstrate your ability to articulate the core objective of your study in a succinct manner.

In summary, crafting effective aims involves formulating the overarching goal or intention of your research in a concise and focused manner. A well-defined aim sets the direction for your dissertation, guiding your efforts and ensuring alignment with the research topic. It serves as a foundation for the development of specific objectives and research questions. By presenting a clear and aligned aim, you convey the purpose of your study to others and demonstrate your ability to articulate the core objective of your research.

After defining the aim of your research, it’s important to break it down into smaller, manageable objectives. These objectives should address key research questions or subtopics that are necessary to achieve the overall aim. Additionally, objectives should be specific, measurable, and utilize action verbs to describe the intended actions or achievements.

Example: Suppose the aim of your research is to develop a recommendation system for an e-commerce platform. Here are some examples of specific objectives:

Action Verbs: Analyze, Identify
Description: Gather and analyze user preferences and historical data from the e-commerce platform to identify patterns in user behavior and item preferences.
Action Verbs: Design, Implement
Description: Develop and implement collaborative filtering algorithms, such as user-based or item-based methods, to generate personalized recommendations based on user similarities or item similarities.
Action Verbs: Incorporate
Description: Integrate machine learning techniques, such as matrix factorization or deep learning models, into the recommendation system to improve the accuracy and personalization of the recommendations.
Action Verbs: Evaluate
Description: Conduct experiments and evaluate the performance of the recommendation system using appropriate evaluation metrics, such as precision, recall, or mean average precision, to assess the effectiveness and efficiency of the system.
Action Verbs: Optimize
Description: Identify and implement optimization techniques, such as parallel computing or distributed systems, to enhance the scalability and efficiency of the recommendation algorithm, allowing it to handle large-scale datasets and real-time recommendations.

By breaking down the aim into these specific objectives, you address key components of developing a recommendation system, such as data analysis, algorithm design, evaluation, and optimization. Each objective represents a distinct step that contributes to achieving the overall aim.

Importantly, these objectives are specific and measurable, allowing you to determine whether you have successfully achieved them. For instance, you can measure the accuracy of the recommendation system, evaluate its performance against baseline models, or assess its scalability in terms of handling large datasets.

In summary, when conducting research, breaking down the aim into specific objectives helps in managing the workload and providing a clear roadmap for your research. These objectives should address key research questions or subtopics, be specific and measurable, and use action verbs to describe the intended actions or achievements. By following this approach, you can ensure a systematic and focused research process.

To develop specific objectives for your research, you need to break down the overarching aim into smaller, measurable objectives. These objectives should be clear, specific, and actionable, providing a roadmap for your research and guiding the entire research process.

Aim: Develop a machine learning-based system for automated sentiment analysis in social media data.

Objective 1: Conduct a comprehensive literature review on existing sentiment analysis techniques and methodologies.

Breakdown: This objective focuses on reviewing the literature in the field of sentiment analysis, specifically examining the various techniques and methodologies that have been developed and applied. It involves gathering and analyzing research papers, books, and other relevant sources to gain a comprehensive understanding of the existing knowledge in sentiment analysis.

Objective 2: Collect a large dataset of social media posts for training and evaluation.

Breakdown: This objective entails the collection of a substantial amount of social media data that will be used as input for training and evaluating the machine learning model. It involves designing data collection mechanisms, such as web scraping or utilizing available APIs, to gather a diverse set of social media posts from platforms like Twitter or Facebook.

Objective 3: Design and implement a machine learning algorithm capable of accurately detecting sentiment polarity in social media text.

Breakdown: This objective focuses on the development of a machine learning algorithm tailored for sentiment analysis in social media text. It involves designing and implementing the necessary algorithms, selecting appropriate feature representations, and training a model to accurately classify sentiment polarity (positive, negative, or neutral) of social media posts.

Objective 4: Evaluate the performance of the developed sentiment analysis system against benchmark datasets and compare it with existing state-of-the-art approaches.

Breakdown: This objective involves assessing the performance of the developed sentiment analysis system by evaluating it against established benchmark datasets. It requires selecting appropriate evaluation metrics and comparing the system’s performance with existing state-of-the-art approaches in sentiment analysis, such as accuracy, precision, recall, or F1 score.

The importance of clear, specific objectives cannot be overstated. These objectives provide a clear roadmap and direction for your research, guiding your efforts and ensuring that you stay on track. They help you structure your research activities, allocate resources effectively, and measure progress along the way.

Using action verbs to articulate objectives effectively is another crucial aspect. Action verbs convey specific actions or achievements that need to be accomplished. They provide clarity and precision, leaving no room for ambiguity. For example:

By using action verbs, you explicitly state what needs to be done or achieved in each objective, making it easier to track progress and assess the completion of objectives.

In summary, developing specific objectives involves breaking down the overarching aim into smaller, measurable objectives. Clear and specific objectives provide a roadmap for your research and guide the entire research process. By using action verbs, you articulate objectives effectively, leaving no room for ambiguity. These objectives help structure your research activities, allocate resources effectively, and measure progress, ultimately leading to the successful completion of your research.

When formulating objectives for your research, it is essential to ensure that they align with the research questions you have formulated. Each objective should contribute to addressing or answering a specific research question, creating a cohesive and focused research framework.

Example: Suppose your research in computer science focuses on developing an automated system for detecting and preventing cybersecurity threats. Here are examples of objectives aligned with research questions:

Research Question: How can machine learning algorithms be utilized to detect and mitigate cybersecurity threats effectively?

Objective 1: Evaluate and compare different machine learning algorithms for cybersecurity threat detection.

Description: Explore and assess various machine learning algorithms, such as decision trees, random forests, or neural networks, to identify the most suitable approach for detecting cybersecurity threats accurately and efficiently.

Objective 2: Develop a dataset representative of diverse cybersecurity threats.

Description: Create a comprehensive dataset containing various types of cybersecurity threats, including malware, phishing attacks, and network intrusions, to train and evaluate the machine learning models effectively.

Research Question: What are the key challenges and vulnerabilities in existing cybersecurity systems that need to be addressed?

Objective 3: Conduct a systematic analysis of existing cybersecurity systems and identify vulnerabilities.

Description: Analyze and evaluate existing cybersecurity systems, such as intrusion detection systems or antivirus software, to identify vulnerabilities, weaknesses, and potential areas of improvement that can inform the development of a more robust automated system.

Objective 4: Propose novel techniques to enhance the resilience of the cybersecurity system.

Description: Develop innovative approaches, such as anomaly detection algorithms or behavior-based analysis techniques, to enhance the resilience of the automated cybersecurity system and address the identified vulnerabilities.

By aligning the objectives with the research questions, you ensure that each objective contributes to addressing a specific aspect of your research. For example, Objective 1 directly addresses the research question regarding the utilization of machine learning algorithms for cybersecurity threat detection. Objective 3 focuses on analyzing existing systems to identify vulnerabilities, which is in line with the question about challenges and vulnerabilities in existing cybersecurity systems.

The alignment between research questions and objectives helps maintain a clear focus on the research objectives and ensures that your efforts are directed towards addressing the research questions. It also enhances the coherence of your research, as each objective becomes a stepping stone towards answering the research questions and achieving the overall aim of your study.

In summary, aligning objectives with research questions is crucial in research. It ensures that each objective contributes to answering or addressing a specific research question, creating a logical and cohesive framework for your study. By establishing this alignment, you can maintain a clear focus on the research objectives and make meaningful contributions to the field.

When setting objectives for your research, it is important to consider their feasibility. Feasibility refers to the realistic achievability of your objectives within the scope of your PhD research, taking into account available resources, time constraints, and other practical limitations.

Example: Suppose your research focuses on developing a new algorithm for real-time video processing and analysis. Here are examples of objectives that consider feasibility:

Objective 1: Implement the real-time video processing algorithm on a high-performance computing cluster.

Feasibility Considerations: Before setting this objective, assess whether you have access to a high-performance computing cluster and the necessary resources (e.g., hardware, software, computational power) to support the implementation and testing of the algorithm. If such resources are available within your research environment or institution, this objective is feasible.

Objective 2: Collect and annotate a large-scale video dataset for algorithm training and evaluation.

Feasibility Considerations: Consider the practical aspects of collecting and annotating a large-scale video dataset. Evaluate the time, manpower, and equipment required for this task. Assess whether you have access to the necessary resources (e.g., cameras, storage, annotation tools) and the capability to manage and process such a dataset. If these resources and capabilities are available within your research context, this objective is feasible.

Objective 3: Collaborate with industry partners to obtain real-world video data for testing and validation.

Feasibility Considerations: Evaluate the feasibility of establishing collaborations with industry partners to obtain real-world video data. Consider factors such as data sharing agreements, legal and privacy considerations, and the willingness of industry partners to provide access to their data. Assess the potential challenges and limitations that may arise during this collaboration process. If such collaborations are feasible and can be established within the constraints of your research, this objective is feasible.

By considering feasibility, you ensure that your objectives are realistically achievable within the resources, time, and other constraints of your PhD research. It helps you avoid setting objectives that are too ambitious or beyond the scope of what you can reasonably accomplish.

Feasibility assessment is crucial in ensuring the successful completion of your research project. It allows you to allocate resources effectively, manage your time, and avoid potential pitfalls or setbacks that could hinder your progress. By setting feasible objectives, you can maintain a practical and manageable research plan that is more likely to lead to meaningful outcomes within the given constraints.

In summary, considering feasibility when setting objectives in computer science research is essential. Assess the available resources, time constraints, and practical limitations to ensure that your objectives are realistically achievable within the scope of your PhD research. By doing so, you can plan and execute your research effectively, making the most of the resources at your disposal and increasing the likelihood of successful outcomes.

Once you have defined your aims and objectives for your research, it’s important to review and refine them to ensure clarity, coherence, and logical flow. This step allows you to make any necessary revisions to ensure that your aims and objectives accurately reflect the scope and purpose of your research.

Example: Suppose your research in computer science focuses on developing a mobile application for enhancing cybersecurity awareness among smartphone users. Here’s an example of reviewing and refining aims and objectives:

Aim: Develop a mobile application for enhancing cybersecurity awareness among smartphone users.

Objective 1: Conduct a comprehensive literature review on cybersecurity awareness strategies and mobile application design principles.

Review and Refinement: Upon review, you find that the objective is clear and aligned with the aim. However, you decide to refine it to include specific aspects you intend to cover in the literature review, such as user education techniques, persuasive design elements, and existing cybersecurity awareness mobile applications.

Objective 2: Design and develop a user-friendly mobile application prototype that delivers educational content and interactive features.

Review and Refinement: During the review, you realize that the objective lacks specificity regarding the educational content and interactive features. You refine it to explicitly mention the inclusion of topics like phishing prevention, password management, and interactive quizzes to reinforce learning.

Objective 3: Conduct usability testing and collect feedback from potential users to evaluate the effectiveness of the mobile application.

Review and Refinement: While reviewing, you realize that the objective could benefit from additional information. You refine it to include details such as the target user group (e.g., smartphone users aged 18-35), the number of participants you plan to involve in the usability testing, and the specific metrics you will use to evaluate the effectiveness of the application.

By reviewing and refining your aims and objectives, you ensure that they accurately capture the scope and purpose of your research. It helps you identify any gaps, ambiguities, or areas that need further clarification. Through this process, you can enhance the clarity, coherence, and logical flow of your aims and objectives, making them more robust and aligned with your research goals.

Additionally, reviewing and refining your aims and objectives allows you to align them with the current state of knowledge in the field. As you conduct literature reviews and gain more insights into existing research, you may discover the need to make adjustments to your aims and objectives to reflect the most relevant and up-to-date information.

In summary, reviewing and refining aims and objectives in research is essential to ensure clarity, coherence, and logical flow. By carefully reviewing each aim and objective, you can identify areas for improvement, refine them to include specific details, and align them with the current state of knowledge in the field. This process enhances the accuracy and effectiveness of your aims and objectives, providing a strong foundation for your research.

Once you have developed your aims and objectives for your research, it is important to seek feedback from your supervisor or peers. Sharing your aims and objectives with others allows you to gather valuable insights, suggestions, and perspectives that can help refine and improve your objectives, ensuring they are appropriate and aligned with your research.

Imagine you have formulated the following objectives for your computer science research on developing an intelligent tutoring system:

Objective 1: Conduct a literature review on existing intelligent tutoring systems and their effectiveness in enhancing student learning outcomes.

Objective 2: Design and develop an adaptive learning algorithm to personalize the tutoring experience based on individual student needs.

Objective 3: Implement a user-friendly interface for the intelligent tutoring system that provides an intuitive and engaging learning environment.

Objective 4: Evaluate the effectiveness of the developed intelligent tutoring system through a series of user studies and compare it with traditional tutoring methods.

At this stage, it would be beneficial to share your aims and objectives with your supervisor or peers to receive feedback. They can provide valuable insights and suggestions to help you refine and improve your objectives. For example:

Your supervisor may suggest including a specific research question to further clarify the focus of Objective 1, such as “What are the key features and techniques used in successful intelligent tutoring systems?”
Peers may provide feedback on the clarity and specificity of Objective 2, suggesting adding details on the specific adaptability mechanisms to be incorporated.
Your supervisor might suggest considering the inclusion of usability testing as part of Objective 3 to ensure the interface meets the needs and preferences of the target users.
Peers may offer suggestions on additional evaluation metrics or experimental setups to strengthen Objective 4 and provide more robust comparisons.

By seeking feedback, you open yourself up to constructive criticism and valuable perspectives that can help enhance the quality and effectiveness of your aims and objectives. Feedback from experienced researchers or knowledgeable peers can help you identify any potential gaps or weaknesses in your objectives and provide suggestions for improvement.

Remember that feedback is an iterative process, and it is important to carefully consider the suggestions provided while also critically evaluating them in the context of your research. Incorporating constructive feedback will help you refine your aims and objectives, ensuring they are robust, relevant, and aligned with your research goals.

In summary, seeking feedback on your aims and objectives is a valuable step in the process of developing your research. Sharing your objectives with your supervisor or peers allows you to gather insights, suggestions, and perspectives that can help refine and improve your objectives. Feedback helps ensure that your objectives are appropriate, clear, and aligned with your research goals, ultimately strengthening the overall quality of your research.

When writing your dissertation, it is crucial to properly document and present your aims and objectives. The placement and presentation of aims and objectives play a significant role in providing readers with a clear understanding of the research’s purpose and direction.

Placement: The aims and objectives of your research should be presented early on in your dissertation, typically within the introduction chapter. This allows readers to grasp the overall scope and intent of your research from the beginning. Placing them in the introduction helps set the context and provides a roadmap for the rest of the dissertation.

Presentation: When presenting aims and objectives, it is important to clearly distinguish between the two and articulate their role in driving the research. Here’s an example of how you can document aims and objectives:

Aims: Start by presenting the overarching aim of your research, which represents the primary goal or intention of your study. It should be a concise statement that captures the essence of your research focus.

For example:

Aim: The aim of this research is to develop a machine learning-based system for automated sentiment analysis in social media data.

Objectives: Following the aim, present a list of specific objectives that outline the key steps or milestones required to achieve the aim. Each objective should be clear, specific, and measurable. Here’s an example:

Objectives:

Analyze existing sentiment analysis techniques and methodologies in the literature to identify their limitations and challenges.
Collect and preprocess a large dataset of social media posts to serve as the training and evaluation data for the sentiment analysis system.
Design and implement a machine learning algorithm capable of accurately detecting sentiment polarity in social media text.
Evaluate the performance of the developed sentiment analysis system against existing state-of-the-art approaches, using appropriate evaluation metrics.
Optimize the system for scalability and efficiency, allowing it to handle large volumes of real-time social media data.

By clearly documenting the aims and objectives in your dissertation, you provide readers with a clear understanding of the purpose and direction of your research. This enables them to follow your thought process and evaluate the relevance and significance of your study. Aims and objectives serve as guideposts that help readers navigate through your dissertation and understand the specific research questions you seek to address.

Moreover, the well-documented aims and objectives help you maintain focus throughout your research journey and provide a framework for organizing your dissertation. They establish the foundation upon which your methodology, analysis, and conclusions are built.

In summary, when documenting aims and objectives in a dissertation, it is important to place them in the introduction chapter and clearly present their role in guiding the research. Aims and objectives should be distinct, with the aim of capturing the overarching goal and the objectives outlining the specific steps or milestones to achieve it. By effectively documenting aims and objectives, you provide readers with a clear understanding of the research’s purpose and direction, facilitating their engagement with your work.

Crafting clear and well-defined aims and objectives is a critical aspect of writing a PhD or Post Graduate dissertation. These aims and objectives provide a solid foundation for your research, guiding your efforts and ensuring a focused and coherent study. Through this discussion, we have explored the importance of aims and objectives in a PhD dissertation and how they contribute to the research process.

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Dissertation Structure & Layout 101: How to structure your dissertation, thesis or research project.

By: Derek Jansen (MBA) Reviewed By: David Phair (PhD) | July 2019

So, you’ve got a decent understanding of what a dissertation is , you’ve chosen your topic and hopefully you’ve received approval for your research proposal . Awesome! Now its time to start the actual dissertation or thesis writing journey.

To craft a high-quality document, the very first thing you need to understand is dissertation structure . In this post, we’ll walk you through the generic dissertation structure and layout, step by step. We’ll start with the big picture, and then zoom into each chapter to briefly discuss the core contents. If you’re just starting out on your research journey, you should start with this post, which covers the big-picture process of how to write a dissertation or thesis .

Dissertation structure and layout - the basics

The Caveat

In this post, we’ll be discussing a traditional dissertation/thesis structure and layout, which is generally used for social science research across universities, whether in the US, UK, Europe or Australia. However, some universities may have small variations on this structure (extra chapters, merged chapters, slightly different ordering, etc).

So, always check with your university if they have a prescribed structure or layout that they expect you to work with. If not, it’s safe to assume the structure we’ll discuss here is suitable. And even if they do have a prescribed structure, you’ll still get value from this post as we’ll explain the core contents of each section.

Overview: S tructuring a dissertation or thesis

Acknowledgements page
Abstract (or executive summary)
Table of contents , list of figures and tables
Chapter 1: Introduction
Chapter 2: Literature review
Chapter 3: Methodology
Chapter 4: Results
Chapter 5: Discussion
Chapter 6: Conclusion
Reference list

As I mentioned, some universities will have slight variations on this structure. For example, they want an additional “personal reflection chapter”, or they might prefer the results and discussion chapter to be merged into one. Regardless, the overarching flow will always be the same, as this flow reflects the research process , which we discussed here – i.e.:

The introduction chapter presents the core research question and aims .
The literature review chapter assesses what the current research says about this question.
The methodology, results and discussion chapters go about undertaking new research about this question.
The conclusion chapter (attempts to) answer the core research question .

In other words, the dissertation structure and layout reflect the research process of asking a well-defined question(s), investigating, and then answering the question – see below.

A dissertation's structure reflect the research process

To restate that – the structure and layout of a dissertation reflect the flow of the overall research process . This is essential to understand, as each chapter will make a lot more sense if you “get” this concept. If you’re not familiar with the research process, read this post before going further.

Right. Now that we’ve covered the big picture, let’s dive a little deeper into the details of each section and chapter. Oh and by the way, you can also grab our free dissertation/thesis template here to help speed things up.

The title page of your dissertation is the very first impression the marker will get of your work, so it pays to invest some time thinking about your title. But what makes for a good title? A strong title needs to be 3 things:

Succinct (not overly lengthy or verbose)
Specific (not vague or ambiguous)
Representative of the research you’re undertaking (clearly linked to your research questions)

Typically, a good title includes mention of the following:

The broader area of the research (i.e. the overarching topic)
The specific focus of your research (i.e. your specific context)
Indication of research design (e.g. quantitative , qualitative , or mixed methods ).

For example:

A quantitative investigation [research design] into the antecedents of organisational trust [broader area] in the UK retail forex trading market [specific context/area of focus].

Again, some universities may have specific requirements regarding the format and structure of the title, so it’s worth double-checking expectations with your institution (if there’s no mention in the brief or study material).

Acknowledgements

This page provides you with an opportunity to say thank you to those who helped you along your research journey. Generally, it’s optional (and won’t count towards your marks), but it is academic best practice to include this.

So, who do you say thanks to? Well, there’s no prescribed requirements, but it’s common to mention the following people:

Your dissertation supervisor or committee.
Any professors, lecturers or academics that helped you understand the topic or methodologies.
Any tutors, mentors or advisors.
Your family and friends, especially spouse (for adult learners studying part-time).

There’s no need for lengthy rambling. Just state who you’re thankful to and for what (e.g. thank you to my supervisor, John Doe, for his endless patience and attentiveness) – be sincere. In terms of length, you should keep this to a page or less.

Abstract or executive summary

The dissertation abstract (or executive summary for some degrees) serves to provide the first-time reader (and marker or moderator) with a big-picture view of your research project. It should give them an understanding of the key insights and findings from the research, without them needing to read the rest of the report – in other words, it should be able to stand alone .

For it to stand alone, your abstract should cover the following key points (at a minimum):

Your research questions and aims – what key question(s) did your research aim to answer?
Your methodology – how did you go about investigating the topic and finding answers to your research question(s)?
Your findings – following your own research, what did do you discover?
Your conclusions – based on your findings, what conclusions did you draw? What answers did you find to your research question(s)?

So, in much the same way the dissertation structure mimics the research process, your abstract or executive summary should reflect the research process, from the initial stage of asking the original question to the final stage of answering that question.

In practical terms, it’s a good idea to write this section up last , once all your core chapters are complete. Otherwise, you’ll end up writing and rewriting this section multiple times (just wasting time). For a step by step guide on how to write a strong executive summary, check out this post .

Need a helping hand?

This section is straightforward. You’ll typically present your table of contents (TOC) first, followed by the two lists – figures and tables. I recommend that you use Microsoft Word’s automatic table of contents generator to generate your TOC. If you’re not familiar with this functionality, the video below explains it simply:

If you find that your table of contents is overly lengthy, consider removing one level of depth. Oftentimes, this can be done without detracting from the usefulness of the TOC.

Right, now that the “admin” sections are out of the way, its time to move on to your core chapters. These chapters are the heart of your dissertation and are where you’ll earn the marks. The first chapter is the introduction chapter – as you would expect, this is the time to introduce your research…

It’s important to understand that even though you’ve provided an overview of your research in your abstract, your introduction needs to be written as if the reader has not read that (remember, the abstract is essentially a standalone document). So, your introduction chapter needs to start from the very beginning, and should address the following questions:

What will you be investigating (in plain-language, big picture-level)?
Why is that worth investigating? How is it important to academia or business? How is it sufficiently original?
What are your research aims and research question(s)? Note that the research questions can sometimes be presented at the end of the literature review (next chapter).
What is the scope of your study? In other words, what will and won’t you cover ?
How will you approach your research? In other words, what methodology will you adopt?
How will you structure your dissertation? What are the core chapters and what will you do in each of them?

These are just the bare basic requirements for your intro chapter. Some universities will want additional bells and whistles in the intro chapter, so be sure to carefully read your brief or consult your research supervisor.

If done right, your introduction chapter will set a clear direction for the rest of your dissertation. Specifically, it will make it clear to the reader (and marker) exactly what you’ll be investigating, why that’s important, and how you’ll be going about the investigation. Conversely, if your introduction chapter leaves a first-time reader wondering what exactly you’ll be researching, you’ve still got some work to do.

Now that you’ve set a clear direction with your introduction chapter, the next step is the literature review . In this section, you will analyse the existing research (typically academic journal articles and high-quality industry publications), with a view to understanding the following questions:

What does the literature currently say about the topic you’re investigating?
Is the literature lacking or well established? Is it divided or in disagreement?
How does your research fit into the bigger picture?
How does your research contribute something original?
How does the methodology of previous studies help you develop your own?

Depending on the nature of your study, you may also present a conceptual framework towards the end of your literature review, which you will then test in your actual research.

Again, some universities will want you to focus on some of these areas more than others, some will have additional or fewer requirements, and so on. Therefore, as always, its important to review your brief and/or discuss with your supervisor, so that you know exactly what’s expected of your literature review chapter.

Now that you’ve investigated the current state of knowledge in your literature review chapter and are familiar with the existing key theories, models and frameworks, its time to design your own research. Enter the methodology chapter – the most “science-ey” of the chapters…

In this chapter, you need to address two critical questions:

Exactly HOW will you carry out your research (i.e. what is your intended research design)?
Exactly WHY have you chosen to do things this way (i.e. how do you justify your design)?

Remember, the dissertation part of your degree is first and foremost about developing and demonstrating research skills . Therefore, the markers want to see that you know which methods to use, can clearly articulate why you’ve chosen then, and know how to deploy them effectively.

Importantly, this chapter requires detail – don’t hold back on the specifics. State exactly what you’ll be doing, with who, when, for how long, etc. Moreover, for every design choice you make, make sure you justify it.

In practice, you will likely end up coming back to this chapter once you’ve undertaken all your data collection and analysis, and revise it based on changes you made during the analysis phase. This is perfectly fine. Its natural for you to add an additional analysis technique, scrap an old one, etc based on where your data lead you. Of course, I’m talking about small changes here – not a fundamental switch from qualitative to quantitative, which will likely send your supervisor in a spin!

You’ve now collected your data and undertaken your analysis, whether qualitative, quantitative or mixed methods. In this chapter, you’ll present the raw results of your analysis . For example, in the case of a quant study, you’ll present the demographic data, descriptive statistics, inferential statistics , etc.

Typically, Chapter 4 is simply a presentation and description of the data, not a discussion of the meaning of the data. In other words, it’s descriptive, rather than analytical – the meaning is discussed in Chapter 5. However, some universities will want you to combine chapters 4 and 5, so that you both present and interpret the meaning of the data at the same time. Check with your institution what their preference is.

Now that you’ve presented the data analysis results, its time to interpret and analyse them. In other words, its time to discuss what they mean, especially in relation to your research question(s).

What you discuss here will depend largely on your chosen methodology. For example, if you’ve gone the quantitative route, you might discuss the relationships between variables . If you’ve gone the qualitative route, you might discuss key themes and the meanings thereof. It all depends on what your research design choices were.

Most importantly, you need to discuss your results in relation to your research questions and aims, as well as the existing literature. What do the results tell you about your research questions? Are they aligned with the existing research or at odds? If so, why might this be? Dig deep into your findings and explain what the findings suggest, in plain English.

The final chapter – you’ve made it! Now that you’ve discussed your interpretation of the results, its time to bring it back to the beginning with the conclusion chapter . In other words, its time to (attempt to) answer your original research question s (from way back in chapter 1). Clearly state what your conclusions are in terms of your research questions. This might feel a bit repetitive, as you would have touched on this in the previous chapter, but its important to bring the discussion full circle and explicitly state your answer(s) to the research question(s).

Next, you’ll typically discuss the implications of your findings? In other words, you’ve answered your research questions – but what does this mean for the real world (or even for academia)? What should now be done differently, given the new insight you’ve generated?

Lastly, you should discuss the limitations of your research, as well as what this means for future research in the area. No study is perfect, especially not a Masters-level. Discuss the shortcomings of your research. Perhaps your methodology was limited, perhaps your sample size was small or not representative, etc, etc. Don’t be afraid to critique your work – the markers want to see that you can identify the limitations of your work. This is a strength, not a weakness. Be brutal!

This marks the end of your core chapters – woohoo! From here on out, it’s pretty smooth sailing.

The reference list is straightforward. It should contain a list of all resources cited in your dissertation, in the required format, e.g. APA , Harvard, etc.

It’s essential that you use reference management software for your dissertation. Do NOT try handle your referencing manually – its far too error prone. On a reference list of multiple pages, you’re going to make mistake. To this end, I suggest considering either Mendeley or Zotero. Both are free and provide a very straightforward interface to ensure that your referencing is 100% on point. I’ve included a simple how-to video for the Mendeley software (my personal favourite) below:

Some universities may ask you to include a bibliography, as opposed to a reference list. These two things are not the same . A bibliography is similar to a reference list, except that it also includes resources which informed your thinking but were not directly cited in your dissertation. So, double-check your brief and make sure you use the right one.

The very last piece of the puzzle is the appendix or set of appendices. This is where you’ll include any supporting data and evidence. Importantly, supporting is the keyword here.

Your appendices should provide additional “nice to know”, depth-adding information, which is not critical to the core analysis. Appendices should not be used as a way to cut down word count (see this post which covers how to reduce word count ). In other words, don’t place content that is critical to the core analysis here, just to save word count. You will not earn marks on any content in the appendices, so don’t try to play the system!

Time to recap…

And there you have it – the traditional dissertation structure and layout, from A-Z. To recap, the core structure for a dissertation or thesis is (typically) as follows:

Acknowledgments page

Most importantly, the core chapters should reflect the research process (asking, investigating and answering your research question). Moreover, the research question(s) should form the golden thread throughout your dissertation structure. Everything should revolve around the research questions, and as you’ve seen, they should form both the start point (i.e. introduction chapter) and the endpoint (i.e. conclusion chapter).

I hope this post has provided you with clarity about the traditional dissertation/thesis structure and layout. If you have any questions or comments, please leave a comment below, or feel free to get in touch with us. Also, be sure to check out the rest of the Grad Coach Blog .

Psst... there’s more!

This post was based on one of our popular Research Bootcamps . If you're working on a research project, you'll definitely want to check this out ...

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36 Comments

many thanks i found it very useful

Glad to hear that, Arun. Good luck writing your dissertation.

Such clear practical logical advice. I very much needed to read this to keep me focused in stead of fretting.. Perfect now ready to start my research!

what about scientific fields like computer or engineering thesis what is the difference in the structure? thank you very much

Thanks so much this helped me a lot!

Very helpful and accessible. What I like most is how practical the advice is along with helpful tools/ links.

Thanks Ade!

Thank you so much sir.. It was really helpful..

You’re welcome!

Hi! How many words maximum should contain the abstract?

Thank you so much 😊 Find this at the right moment

You’re most welcome. Good luck with your dissertation.

best ever benefit i got on right time thank you

Many times Clarity and vision of destination of dissertation is what makes the difference between good ,average and great researchers the same way a great automobile driver is fast with clarity of address and Clear weather conditions .

I guess Great researcher = great ideas + knowledge + great and fast data collection and modeling + great writing + high clarity on all these

You have given immense clarity from start to end.

Morning. Where will I write the definitions of what I’m referring to in my report?

Thank you so much Derek, I was almost lost! Thanks a tonnnn! Have a great day!

Thanks ! so concise and valuable

This was very helpful. Clear and concise. I know exactly what to do now.

Thank you for allowing me to go through briefly. I hope to find time to continue.

Really useful to me. Thanks a thousand times

Very interesting! It will definitely set me and many more for success. highly recommended.

Thank you soo much sir, for the opportunity to express my skills

Usefull, thanks a lot. Really clear

Very nice and easy to understand. Thank you .

That was incredibly useful. Thanks Grad Coach Crew!

My stress level just dropped at least 15 points after watching this. Just starting my thesis for my grad program and I feel a lot more capable now! Thanks for such a clear and helpful video, Emma and the GradCoach team!

Do we need to mention the number of words the dissertation contains in the main document?

It depends on your university’s requirements, so it would be best to check with them 🙂

Such a helpful post to help me get started with structuring my masters dissertation, thank you!

Great video; I appreciate that helpful information

It is so necessary or avital course

This blog is very informative for my research. Thank you

Doctoral students are required to fill out the National Research Council’s Survey of Earned Doctorates

wow this is an amazing gain in my life

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How can i arrange my specific objectives in my dissertation?

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What Is a Thesis? | Ultimate Guide & Examples

What Is a Thesis? | Ultimate Guide & Examples

Published on 15 September 2022 by Tegan George . Revised on 5 December 2023.

A thesis is a type of research paper based on your original research. It is usually submitted as the final step of a PhD program in the UK.

Writing a thesis can be a daunting experience. Indeed, alongside a dissertation , it is the longest piece of writing students typically complete. It relies on your ability to conduct research from start to finish: designing your research , collecting data , developing a robust analysis, drawing strong conclusions , and writing concisely .

Thesis template

You can also download our full thesis template in the format of your choice below. Our template includes a ready-made table of contents , as well as guidance for what each chapter should include. It’s easy to make it your own, and can help you get started.

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Thesis vs. thesis statement, how to structure a thesis, acknowledgements or preface, list of figures and tables, list of abbreviations, introduction, literature review, methodology, reference list, proofreading and editing, defending your thesis, frequently asked questions about theses.

You may have heard the word thesis as a standalone term or as a component of academic writing called a thesis statement . Keep in mind that these are two very different things.

A thesis statement is a very common component of an essay, particularly in the humanities. It usually comprises 1 or 2 sentences in the introduction of your essay , and should clearly and concisely summarise the central points of your academic essay .
A thesis is a long-form piece of academic writing, often taking more than a full semester to complete. It is generally a degree requirement to complete a PhD program.
In many countries, particularly the UK, a dissertation is generally written at the bachelor’s or master’s level.
In the US, a dissertation is generally written as a final step toward obtaining a PhD.

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The final structure of your thesis depends on a variety of components, such as:

Your discipline
Your theoretical approach

Humanities theses are often structured more like a longer-form essay . Just like in an essay, you build an argument to support a central thesis.

In both hard and social sciences, theses typically include an introduction , literature review , methodology section , results section , discussion section , and conclusion section . These are each presented in their own dedicated section or chapter. In some cases, you might want to add an appendix .

Thesis examples

We’ve compiled a short list of thesis examples to help you get started.

Example thesis #1: ‘Abolition, Africans, and Abstraction: the Influence of the “Noble Savage” on British and French Antislavery Thought, 1787-1807’ by Suchait Kahlon.
Example thesis #2: ‘”A Starving Man Helping Another Starving Man”: UNRRA, India, and the Genesis of Global Relief, 1943-1947’ by Julian Saint Reiman.

The very first page of your thesis contains all necessary identifying information, including:

Your full title
Your full name
Your department
Your institution and degree program
Your submission date.

Sometimes the title page also includes your student ID, the name of your supervisor, or the university’s logo. Check out your university’s guidelines if you’re not sure.

Theoretical framework

Your literature review can often form the basis for your theoretical framework, but these are not the same thing. A theoretical framework defines and analyses the concepts and theories that your research hinges on.

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If you want to cite this source, you can copy and paste the citation or click the ‘Cite this Scribbr article’ button to automatically add the citation to our free Reference Generator.

George, T. (2023, December 05). What Is a Thesis? | Ultimate Guide & Examples. Scribbr. Retrieved 6 May 2024, from https://www.scribbr.co.uk/thesis-dissertation/thesis-ultimate-guide/

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21 Research Objectives Examples (Copy and Paste)

research aim and research objectives, explained below

Research objectives refer to the definitive statements made by researchers at the beginning of a research project detailing exactly what a research project aims to achieve.

These objectives are explicit goals clearly and concisely projected by the researcher to present a clear intention or course of action for his or her qualitative or quantitative study.

Research objectives are typically nested under one overarching research aim. The objectives are the steps you’ll need to take in order to achieve the aim (see the examples below, for example, which demonstrate an aim followed by 3 objectives, which is what I recommend to my research students).

Research Objectives vs Research Aims

Research aim and research objectives are fundamental constituents of any study, fitting together like two pieces of the same puzzle.

The ‘research aim’ describes the overarching goal or purpose of the study (Kumar, 2019). This is usually a broad, high-level purpose statement, summing up the central question that the research intends to answer.

Example of an Overarching Research Aim:

“The aim of this study is to explore the impact of climate change on crop productivity.”

Comparatively, ‘research objectives’ are concrete goals that underpin the research aim, providing stepwise actions to achieve the aim.

Objectives break the primary aim into manageable, focused pieces, and are usually characterized as being more specific, measurable, achievable, relevant, and time-bound (SMART).

Examples of Specific Research Objectives:

1. “To examine the effects of rising temperatures on the yield of rice crops during the upcoming growth season.” 2. “To assess changes in rainfall patterns in major agricultural regions over the first decade of the twenty-first century (2000-2010).” 3. “To analyze the impact of changing weather patterns on crop diseases within the same timeframe.”

The distinction between these two terms, though subtle, is significant for successfully conducting a study. The research aim provides the study with direction, while the research objectives set the path to achieving this aim, thereby ensuring the study’s efficiency and effectiveness.

How to Write Research Objectives

I usually recommend to my students that they use the SMART framework to create their research objectives.

SMART is an acronym standing for Specific, Measurable, Achievable, Relevant, and Time-bound. It provides a clear method of defining solid research objectives and helps students know where to start in writing their objectives (Locke & Latham, 2013).

Each element of this acronym adds a distinct dimension to the framework, aiding in the creation of comprehensive, well-delineated objectives.

Here is each step:

Specific : We need to avoid ambiguity in our objectives. They need to be clear and precise (Doran, 1981). For instance, rather than stating the objective as “to study the effects of social media,” a more focused detail would be “to examine the effects of social media use (Facebook, Instagram, and Twitter) on the academic performance of college students.”
Measurable: The measurable attribute provides a clear criterion to determine if the objective has been met (Locke & Latham, 2013). A quantifiable element, such as a percentage or a number, adds a measurable quality. For example, “to increase response rate to the annual customer survey by 10%,” makes it easier to ascertain achievement.
Achievable: The achievable aspect encourages researchers to craft realistic objectives, resembling a self-check mechanism to ensure the objectives align with the scope and resources at disposal (Doran, 1981). For example, “to interview 25 participants selected randomly from a population of 100” is an attainable objective as long as the researcher has access to these participants.
Relevance : Relevance, the fourth element, compels the researcher to tailor the objectives in alignment with overarching goals of the study (Locke & Latham, 2013). This is extremely important – each objective must help you meet your overall one-sentence ‘aim’ in your study.
Time-Bound: Lastly, the time-bound element fosters a sense of urgency and prioritization, preventing procrastination and enhancing productivity (Doran, 1981). “To analyze the effect of laptop use in lectures on student engagement over the course of two semesters this year” expresses a clear deadline, thus serving as a motivator for timely completion.

You’re not expected to fit every single element of the SMART framework in one objective, but across your objectives, try to touch on each of the five components.

Research Objectives Examples

1. Field: Psychology

Aim: To explore the impact of sleep deprivation on cognitive performance in college students.

Objective 1: To compare cognitive test scores of students with less than six hours of sleep and those with 8 or more hours of sleep.
Objective 2: To investigate the relationship between class grades and reported sleep duration.
Objective 3: To survey student perceptions and experiences on how sleep deprivation affects their cognitive capabilities.

2. Field: Environmental Science

Aim: To understand the effects of urban green spaces on human well-being in a metropolitan city.

Objective 1: To assess the physical and mental health benefits of regular exposure to urban green spaces.
Objective 2: To evaluate the social impacts of urban green spaces on community interactions.
Objective 3: To examine patterns of use for different types of urban green spaces.

3. Field: Technology

Aim: To investigate the influence of using social media on productivity in the workplace.

Objective 1: To measure the amount of time spent on social media during work hours.
Objective 2: To evaluate the perceived impact of social media use on task completion and work efficiency.
Objective 3: To explore whether company policies on social media usage correlate with different patterns of productivity.

4. Field: Education

Aim: To examine the effectiveness of online vs traditional face-to-face learning on student engagement and achievement.

Objective 1: To compare student grades between the groups exposed to online and traditional face-to-face learning.
Objective 2: To assess student engagement levels in both learning environments.
Objective 3: To collate student perceptions and preferences regarding both learning methods.

5. Field: Health

Aim: To determine the impact of a Mediterranean diet on cardiac health among adults over 50.

Objective 1: To assess changes in cardiovascular health metrics after following a Mediterranean diet for six months.
Objective 2: To compare these health metrics with a similar group who follow their regular diet.
Objective 3: To document participants’ experiences and adherence to the Mediterranean diet.

6. Field: Environmental Science

Aim: To analyze the impact of urban farming on community sustainability.

Objective 1: To document the types and quantity of food produced through urban farming initiatives.
Objective 2: To assess the effect of urban farming on local communities’ access to fresh produce.
Objective 3: To examine the social dynamics and cooperative relationships in the creating and maintaining of urban farms.

7. Field: Sociology

Aim: To investigate the influence of home offices on work-life balance during remote work.

Objective 1: To survey remote workers on their perceptions of work-life balance since setting up home offices.
Objective 2: To conduct an observational study of daily work routines and family interactions in a home office setting.
Objective 3: To assess the correlation, if any, between physical boundaries of workspaces and mental boundaries for work in the home setting.

8. Field: Economics

Aim: To evaluate the effects of minimum wage increases on small businesses.

Objective 1: To analyze cost structures, pricing changes, and profitability of small businesses before and after minimum wage increases.
Objective 2: To survey small business owners on the strategies they employ to navigate minimum wage increases.
Objective 3: To examine employment trends in small businesses in response to wage increase legislation.

9. Field: Education

Aim: To explore the role of extracurricular activities in promoting soft skills among high school students.

Objective 1: To assess the variety of soft skills developed through different types of extracurricular activities.
Objective 2: To compare self-reported soft skills between students who participate in extracurricular activities and those who do not.
Objective 3: To investigate the teachers’ perspectives on the contribution of extracurricular activities to students’ skill development.

10. Field: Technology

Aim: To assess the impact of virtual reality (VR) technology on the tourism industry.

Objective 1: To document the types and popularity of VR experiences available in the tourism market.
Objective 2: To survey tourists on their interest levels and satisfaction rates with VR tourism experiences.
Objective 3: To determine whether VR tourism experiences correlate with increased interest in real-life travel to the simulated destinations.

11. Field: Biochemistry

Aim: To examine the role of antioxidants in preventing cellular damage.

Objective 1: To identify the types and quantities of antioxidants in common fruits and vegetables.
Objective 2: To determine the effects of various antioxidants on free radical neutralization in controlled lab tests.
Objective 3: To investigate potential beneficial impacts of antioxidant-rich diets on long-term cellular health.

12. Field: Linguistics

Aim: To determine the influence of early exposure to multiple languages on cognitive development in children.

Objective 1: To assess cognitive development milestones in monolingual and multilingual children.
Objective 2: To document the number and intensity of language exposures for each group in the study.
Objective 3: To investigate the specific cognitive advantages, if any, enjoyed by multilingual children.

13. Field: Art History

Aim: To explore the impact of the Renaissance period on modern-day art trends.

Objective 1: To identify key characteristics and styles of Renaissance art.
Objective 2: To analyze modern art pieces for the influence of the Renaissance style.
Objective 3: To survey modern-day artists for their inspirations and the influence of historical art movements on their work.

14. Field: Cybersecurity

Aim: To assess the effectiveness of two-factor authentication (2FA) in preventing unauthorized system access.

Objective 1: To measure the frequency of unauthorized access attempts before and after the introduction of 2FA.
Objective 2: To survey users about their experiences and challenges with 2FA implementation.
Objective 3: To evaluate the efficacy of different types of 2FA (SMS-based, authenticator apps, biometrics, etc.).

15. Field: Cultural Studies

Aim: To analyze the role of music in cultural identity formation among ethnic minorities.

Objective 1: To document the types and frequency of traditional music practices within selected ethnic minority communities.
Objective 2: To survey community members on the role of music in their personal and communal identity.
Objective 3: To explore the resilience and transmission of traditional music practices in contemporary society.

16. Field: Astronomy

Aim: To explore the impact of solar activity on satellite communication.

Objective 1: To categorize different types of solar activities and their frequencies of occurrence.
Objective 2: To ascertain how variations in solar activity may influence satellite communication.
Objective 3: To investigate preventative and damage-control measures currently in place during periods of high solar activity.

17. Field: Literature

Aim: To examine narrative techniques in contemporary graphic novels.

Objective 1: To identify a range of narrative techniques employed in this genre.
Objective 2: To analyze the ways in which these narrative techniques engage readers and affect story interpretation.
Objective 3: To compare narrative techniques in graphic novels to those found in traditional printed novels.

18. Field: Renewable Energy

Aim: To investigate the feasibility of solar energy as a primary renewable resource within urban areas.

Objective 1: To quantify the average sunlight hours across urban areas in different climatic zones.
Objective 2: To calculate the potential solar energy that could be harnessed within these areas.
Objective 3: To identify barriers or challenges to widespread solar energy implementation in urban settings and potential solutions.

19. Field: Sports Science

Aim: To evaluate the role of pre-game rituals in athlete performance.

Objective 1: To identify the variety and frequency of pre-game rituals among professional athletes in several sports.
Objective 2: To measure the impact of pre-game rituals on individual athletes’ performance metrics.
Objective 3: To examine the psychological mechanisms that might explain the effects (if any) of pre-game ritual on performance.

20. Field: Ecology

Aim: To investigate the effects of urban noise pollution on bird populations.

Objective 1: To record and quantify urban noise levels in various bird habitats.
Objective 2: To measure bird population densities in relation to noise levels.
Objective 3: To determine any changes in bird behavior or vocalization linked to noise levels.

21. Field: Food Science

Aim: To examine the influence of cooking methods on the nutritional value of vegetables.

Objective 1: To identify the nutrient content of various vegetables both raw and after different cooking processes.
Objective 2: To compare the effect of various cooking methods on the nutrient retention of these vegetables.
Objective 3: To propose cooking strategies that optimize nutrient retention.

The Importance of Research Objectives

The importance of research objectives cannot be overstated. In essence, these guideposts articulate what the researcher aims to discover, understand, or examine (Kothari, 2014).

When drafting research objectives, it’s essential to make them simple and comprehensible, specific to the point of being quantifiable where possible, achievable in a practical sense, relevant to the chosen research question, and time-constrained to ensure efficient progress (Kumar, 2019).

Remember that a good research objective is integral to the success of your project, offering a clear path forward for setting out a research design , and serving as the bedrock of your study plan. Each objective must distinctly address a different dimension of your research question or problem (Kothari, 2014). Always bear in mind that the ultimate purpose of your research objectives is to succinctly encapsulate your aims in the clearest way possible, facilitating a coherent, comprehensive and rational approach to your planned study, and furnishing a scientific roadmap for your journey into the depths of knowledge and research (Kumar, 2019).

Kothari, C.R (2014). Research Methodology: Methods and Techniques . New Delhi: New Age International.

Kumar, R. (2019). Research Methodology: A Step-by-Step Guide for Beginners .New York: SAGE Publications.

Doran, G. T. (1981). There’s a S.M.A.R.T. way to write management’s goals and objectives. Management review, 70 (11), 35-36.

Locke, E. A., & Latham, G. P. (2013). New Developments in Goal Setting and Task Performance . New York: Routledge.

Chris Drew (PhD)

Dr. Chris Drew is the founder of the Helpful Professor. He holds a PhD in education and has published over 20 articles in scholarly journals. He is the former editor of the Journal of Learning Development in Higher Education. [Image Descriptor: Photo of Chris]

Chris Drew (PhD) https://helpfulprofessor.com/author/chris-drew-phd/ Social-Emotional Learning (Definition, Examples, Pros & Cons)
Chris Drew (PhD) https://helpfulprofessor.com/author/chris-drew-phd/ What is Educational Psychology?
Chris Drew (PhD) https://helpfulprofessor.com/author/chris-drew-phd/ What is IQ? (Intelligence Quotient)
Chris Drew (PhD) https://helpfulprofessor.com/author/chris-drew-phd/ 5 Top Tips for Succeeding at University

Lesson 3: Research objectives

While your problem formulation serves to describe the aim of your thesis, the objectives provide an accurate description of the specific actions you will take in order to reach this aim. As with the problem formulation, the overall objective should be framed in a single sentence.

Once again, take a look at the problem formulation from the previous lesson: “Is the level of knowledge on recommended nutritional practices related to the nutritional status of pregnant women attending antenatal care in Northern Uganda?”

The correspondent overall objective should be written as an infinitive sentence e.g.: “To analyse the association between nutritional knowledge and the nutritional status of pregnant women attending antenatal care (ANC) in Northern Uganda.

Here you see that the overall objective states exactly how you intend to address your problem: “I want to find the answer to problem A, by completing action B”. You then have to explain or detail action B through a set of specific objectives (usually between two and four), e.g.:

To assess the knowledge level among ANC attendees on the recommended nutritional practices during pregnancy
To assess the nutritional status of pregnant women attending ANC
To analyse the statistical association between nutritional knowledge level and nutritional status in pregnant women attending ANC

Each specific objective consists of one infinitive sentence and should be phrased in a way that makes it possible to draw a conclusion from within the scope of the thesis.

The more precisely you formulate your specific objectives, the simpler it will be to define the type of study and which method(s) you will use in your further research. You can refine your specific objective by clearly stating if your given action is to understand, analyse or create – in tune with the hierarchy of learning objectives and the key to the assessment of knowledge content as found in for example Bloom’s taxonomy. In this way, your specific objectives will signal your level of ambition as well as where you will place the greatest effort in your thesis.

TIP! Your well-defined research objectives will help you identify the type of study you will do. Practical limitations and/or advice from your supervisor may require that you reformulate all or some of your objectives. Don’t worry; this is all part of the research process.

Do you now know how to formulate objectives? Test your knowledge in the following.

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The Writing Center • University of North Carolina at Chapel Hill

Thesis Statements

What this handout is about.

This handout describes what a thesis statement is, how thesis statements work in your writing, and how you can craft or refine one for your draft.

Introduction

Writing in college often takes the form of persuasion—convincing others that you have an interesting, logical point of view on the subject you are studying. Persuasion is a skill you practice regularly in your daily life. You persuade your roommate to clean up, your parents to let you borrow the car, your friend to vote for your favorite candidate or policy. In college, course assignments often ask you to make a persuasive case in writing. You are asked to convince your reader of your point of view. This form of persuasion, often called academic argument, follows a predictable pattern in writing. After a brief introduction of your topic, you state your point of view on the topic directly and often in one sentence. This sentence is the thesis statement, and it serves as a summary of the argument you’ll make in the rest of your paper.

What is a thesis statement?

A thesis statement:

tells the reader how you will interpret the significance of the subject matter under discussion.
is a road map for the paper; in other words, it tells the reader what to expect from the rest of the paper.
directly answers the question asked of you. A thesis is an interpretation of a question or subject, not the subject itself. The subject, or topic, of an essay might be World War II or Moby Dick; a thesis must then offer a way to understand the war or the novel.
makes a claim that others might dispute.
is usually a single sentence near the beginning of your paper (most often, at the end of the first paragraph) that presents your argument to the reader. The rest of the paper, the body of the essay, gathers and organizes evidence that will persuade the reader of the logic of your interpretation.

If your assignment asks you to take a position or develop a claim about a subject, you may need to convey that position or claim in a thesis statement near the beginning of your draft. The assignment may not explicitly state that you need a thesis statement because your instructor may assume you will include one. When in doubt, ask your instructor if the assignment requires a thesis statement. When an assignment asks you to analyze, to interpret, to compare and contrast, to demonstrate cause and effect, or to take a stand on an issue, it is likely that you are being asked to develop a thesis and to support it persuasively. (Check out our handout on understanding assignments for more information.)

How do I create a thesis?

A thesis is the result of a lengthy thinking process. Formulating a thesis is not the first thing you do after reading an essay assignment. Before you develop an argument on any topic, you have to collect and organize evidence, look for possible relationships between known facts (such as surprising contrasts or similarities), and think about the significance of these relationships. Once you do this thinking, you will probably have a “working thesis” that presents a basic or main idea and an argument that you think you can support with evidence. Both the argument and your thesis are likely to need adjustment along the way.

Writers use all kinds of techniques to stimulate their thinking and to help them clarify relationships or comprehend the broader significance of a topic and arrive at a thesis statement. For more ideas on how to get started, see our handout on brainstorming .

How do I know if my thesis is strong?

If there’s time, run it by your instructor or make an appointment at the Writing Center to get some feedback. Even if you do not have time to get advice elsewhere, you can do some thesis evaluation of your own. When reviewing your first draft and its working thesis, ask yourself the following :

Do I answer the question? Re-reading the question prompt after constructing a working thesis can help you fix an argument that misses the focus of the question. If the prompt isn’t phrased as a question, try to rephrase it. For example, “Discuss the effect of X on Y” can be rephrased as “What is the effect of X on Y?”
Have I taken a position that others might challenge or oppose? If your thesis simply states facts that no one would, or even could, disagree with, it’s possible that you are simply providing a summary, rather than making an argument.
Is my thesis statement specific enough? Thesis statements that are too vague often do not have a strong argument. If your thesis contains words like “good” or “successful,” see if you could be more specific: why is something “good”; what specifically makes something “successful”?
Does my thesis pass the “So what?” test? If a reader’s first response is likely to be “So what?” then you need to clarify, to forge a relationship, or to connect to a larger issue.
Does my essay support my thesis specifically and without wandering? If your thesis and the body of your essay do not seem to go together, one of them has to change. It’s okay to change your working thesis to reflect things you have figured out in the course of writing your paper. Remember, always reassess and revise your writing as necessary.
Does my thesis pass the “how and why?” test? If a reader’s first response is “how?” or “why?” your thesis may be too open-ended and lack guidance for the reader. See what you can add to give the reader a better take on your position right from the beginning.

Suppose you are taking a course on contemporary communication, and the instructor hands out the following essay assignment: “Discuss the impact of social media on public awareness.” Looking back at your notes, you might start with this working thesis:

Social media impacts public awareness in both positive and negative ways.

You can use the questions above to help you revise this general statement into a stronger thesis.

Do I answer the question? You can analyze this if you rephrase “discuss the impact” as “what is the impact?” This way, you can see that you’ve answered the question only very generally with the vague “positive and negative ways.”
Have I taken a position that others might challenge or oppose? Not likely. Only people who maintain that social media has a solely positive or solely negative impact could disagree.
Is my thesis statement specific enough? No. What are the positive effects? What are the negative effects?
Does my thesis pass the “how and why?” test? No. Why are they positive? How are they positive? What are their causes? Why are they negative? How are they negative? What are their causes?
Does my thesis pass the “So what?” test? No. Why should anyone care about the positive and/or negative impact of social media?

After thinking about your answers to these questions, you decide to focus on the one impact you feel strongly about and have strong evidence for:

Because not every voice on social media is reliable, people have become much more critical consumers of information, and thus, more informed voters.

This version is a much stronger thesis! It answers the question, takes a specific position that others can challenge, and it gives a sense of why it matters.

Let’s try another. Suppose your literature professor hands out the following assignment in a class on the American novel: Write an analysis of some aspect of Mark Twain’s novel Huckleberry Finn. “This will be easy,” you think. “I loved Huckleberry Finn!” You grab a pad of paper and write:

Mark Twain’s Huckleberry Finn is a great American novel.

You begin to analyze your thesis:

Do I answer the question? No. The prompt asks you to analyze some aspect of the novel. Your working thesis is a statement of general appreciation for the entire novel.

Think about aspects of the novel that are important to its structure or meaning—for example, the role of storytelling, the contrasting scenes between the shore and the river, or the relationships between adults and children. Now you write:

In Huckleberry Finn, Mark Twain develops a contrast between life on the river and life on the shore.

Do I answer the question? Yes!
Have I taken a position that others might challenge or oppose? Not really. This contrast is well-known and accepted.
Is my thesis statement specific enough? It’s getting there–you have highlighted an important aspect of the novel for investigation. However, it’s still not clear what your analysis will reveal.
Does my thesis pass the “how and why?” test? Not yet. Compare scenes from the book and see what you discover. Free write, make lists, jot down Huck’s actions and reactions and anything else that seems interesting.
Does my thesis pass the “So what?” test? What’s the point of this contrast? What does it signify?”

After examining the evidence and considering your own insights, you write:

Through its contrasting river and shore scenes, Twain’s Huckleberry Finn suggests that to find the true expression of American democratic ideals, one must leave “civilized” society and go back to nature.

This final thesis statement presents an interpretation of a literary work based on an analysis of its content. Of course, for the essay itself to be successful, you must now present evidence from the novel that will convince the reader of your interpretation.

Works consulted

We consulted these works while writing this handout. This is not a comprehensive list of resources on the handout’s topic, and we encourage you to do your own research to find additional publications. Please do not use this list as a model for the format of your own reference list, as it may not match the citation style you are using. For guidance on formatting citations, please see the UNC Libraries citation tutorial . We revise these tips periodically and welcome feedback.

Anson, Chris M., and Robert A. Schwegler. 2010. The Longman Handbook for Writers and Readers , 6th ed. New York: Longman.

Lunsford, Andrea A. 2015. The St. Martin’s Handbook , 8th ed. Boston: Bedford/St Martin’s.

Ramage, John D., John C. Bean, and June Johnson. 2018. The Allyn & Bacon Guide to Writing , 8th ed. New York: Pearson.

Ruszkiewicz, John J., Christy Friend, Daniel Seward, and Maxine Hairston. 2010. The Scott, Foresman Handbook for Writers , 9th ed. Boston: Pearson Education.

You may reproduce it for non-commercial use if you use the entire handout and attribute the source: The Writing Center, University of North Carolina at Chapel Hill

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Research Objective Generator for Theses & Papers

Here's how to start using our objective generator for research:

Choose an action verb from the drop-down list.
Enter your aim.
Move the toggle if needed.
Click “Generate now” and enjoy a properly formulated objective.

In this article, you will find the definition of the research objective, its importance to the scientific paper, and practical tips that’ll help you to create a great one for your research.

️✅ The Tool’s Benefits
️🎯 Research Objective Basics
️✍️ How to Write
️✨ Research Objective Tips
️🔍 Free Examples
️🔗 References

✅ Research Objective Generator: the Benefits

A research objective is a crucial part of your paper that points to purpose of the study. Creating an effective research objective is a challenging task, even for experienced researchers.

Not sure how to do it?

No worries!

Our research objective generator can help you out.

Here are its main advantages:

🎯 Research Objective: the Basics

What is a research objective.

The research objective specifies how you are going to achieve your goal . It’s like a roadmap of your study that summarizes its aims, describes the results you expect to accomplish at the end, and helps you to keep track of your research.

The objective should always appear in the introduction of your paper or scientific article, right after the problem or thesis statement .

Importance of a Research Objective

Find below the list of reasons why a research objective is important.

The picture enumerates the functions of a research objective.

A good research objective is important because it:

Describes the scope of your study. It allows you to keep an eye on your findings.
Establishes the design of your research. It helps to choose the appropriate methods and procedures for data collection and measurement .
Defines data and factors you need to evaluate. It narrows down your research to several measurable components you have to assess or compare.
Specifies the contribution of your project to existing research. That’s a great way to show you know the studies conducted in your field and have something valuable to add to them.

✍️ How to Write a Research Objective

To write a strong and clear research objective, follow our three-step guide.

Step 1 - Define the Central Point of Your Research

It’s the first and the most crucial step. Begin with looking through the literature and studies in your area to determine the gaps in existing research . Then, consider how your project can fill these gaps and formulate the primary aim and objective.

Step 2 - Break Down Your Point into Several Objectives

So, you have the primary objective that states what you intend to achieve through your research. Now, it’s time to break it down. Think about what smaller steps you can take to attain your goal. These will be your specific, narrow objectives.

Step 3 - Write Down Your Objectives Using the SMART Format

The SMART format will help you to achieve your goals by keeping them clear and easy to understand.

The picture explains what the SMART format means.

A SMART objective is:

✨ Research Objective Writing Tips

To formulate effective research objectives, follow these actionable tips:

Keep them realistic. Ensure you can actually achieve your goals. Make them simple enough to avoid getting overwhelmed.
Define your goals. You must distinctly understand what issue you are going to solve with your research. For example, you can start by making a list of questions and then using them to formulate your research aims. After you have your goals, think about how you will achieve them—these will be your objectives.
Use action verbs. Strong action verbs make your objectives measurable and more actionable.
Proofread your objectives. To make your research competent and reliable, ensure your writing is free of typos and grammar mistakes.
Ask for feedback. Make a draft of your objectives and ask a peer to review them. That’s a perfect way to ensure your research goals are clear to others.

🔍 Research Objectives Examples

Finally, let’s take a look at some practical examples and review them:

This research aims to analyze the reasons for teenage smoking, identify the change in the smoking rates among teenagers for the last year, and map out actionable solutions to address the issue.

This research aims to assess the influence of flipped classroom learning method on student scores and compare the scores of students exposed to flipped classroom learning method versus the direct instruction method.

This research aims to study the influence of deforestation on the animal species in the sample region in the past 5 years, evaluate the species extinction risk in the area, and propose practical solutions to the problem.

These objectives include strong action verbs (identify, analyze, assess, compare, map out, etc.), time limits, and measurable outcomes. Based on them, the researcher can decide on the methods to use and the variables to measure.

Now, you know everything to create a perfect objective for your research. Go for it! Or you can save your time and use our objective maker for research. It’ll generate a well-formulated research objective just in a few seconds!

If you need to write a thesis statement, try our thesis maker .

❓ Research Objective Generator FAQ

❓ how do you write a smart objective in research.

The first step to writing a SMART objective for your research is to determine your principal aim and consider how you will achieve it. Next, write down your objective and ensure it fits the following criteria: specific, measurable, achievable, relevant, and time-based.

❓ What is a SMART research objective?

A SMART research objective is specific, measurable, achievable, relevant, and time-based. It means that the objective must include a precise, realistic task that is concise with the rest of the research, suppose some definite results, and be finished by a specific time.

❓ What are research objectives examples?

Research objectives show how you will address the aim of your research, for example: "This research aims to indicate the connection between a sedentary lifestyle and muscular atrophy, evaluate the health risks of a sedentary lifestyle, and map out practical solutions to the issue."

❓ What are the 5 SMART goals examples?

To check whether your goals are SMART, ask the following questions:

What’ll you achieve? (Specific)
How do you know it’s done? (Measurable)
Can you do it? (Achievable)
Is it concise with the study in general? (Relevant)
When will you accomplish it? (Time-based)

🔗 References

Research Objectives: Definition and How To Write Them: Indeed
Research Objectives: OpenLearn
Formulating Research Aims and Objectives: Oxford University Press
Defining Goals, Objectives, and Hypotheses: GitLab

Advice For Your Honors Thesis

Posted on May 3, 2024 by lhamid

Completing my honors thesis has been one of the most rewarding, yet challenging, projects I’ve embarked on during my time at IU. Do not be deterred by the slightly overwhelming idea of writing a thesis in one year – you can do it! Through this process you will learn so much about academic writing and your interest. However, here are a few key points to consider before beginning your thesis.

Take your time choosing your research topic: Fine-tuning your research question is essential. Not only will this keep you engaged in your research throughout the year, but a specific question that leads to a hypothesis will create a well established flow to your paper and ensure the relationship you are exploring is valid! Additionally, you’ll have a much easier time conducting your research.
Understand the method you are choosing: Depending on your research question, you may rely on quantitative or qualitative research methods. Regardless of what you choose, take the time to understand the pros and cons behind these two as well as the various techniques that fall under them. Developing your understanding of the technique you choose will make conducting your research a much smoother process.
Know your resources : Understanding how to use Google Scholar, the IU Document Delivery Service, and the various research and writing centers across campus can be super helpful! Also, your classmates and professors from 491/499 are always there to discuss ideas and more!
Set goals and deadlines for yourself (seriously): Take your time and assignments in V491 seriously – if you spend some time creating your research question, understanding your variables, and gathering literature you will be thanking yourself in V499 as you are writing the bulk of your thesis. Additionally, create a schedule of when you will be writing and stick to it! Life gets busy and committing yourself to a few hours of research and writing per week is essential to creating a good thesis.
Reread, review, and revise: Unfortunately, a thesis is not a one-draft kind of deal. Commit yourself to rereading a couple sections at a time and checking for spelling, grammar, or syntax errors. Additionally, I would recommend scheduling time to do major revisions (i.e., reorganizing sections of your paper, adding in something new, taking out sections, etc.) for after you have met with your advisor or have finished a peer review. These are typically the points at which bigger “issues” with your paper will be pointed out, so revising as soon as you have received feedback can keep it fresh on your mind. Lastly, have others read your paper or read it out loud. We can easily glance over silly errors in our papers while we skim and read in our heads.
Remain reasonable but be proud of yourself!: Remember, writing a thesis is not an easy task, especially for undergraduates doing it in under a year. Your thesis will not be perfect, but do not sweat the little details or small setbacks. By planning early and communicating with your advisor and professors, you can create a thesis that is feasible given the time and resources you have but is still something you are passionate about. Obstacles are inevitable during this process – but learning how to address them will allow you to learn so much from this process. Do not lose faith during this process and know that there are people who would love to help you throughout the way!

I am super grateful that I stuck through the honors program and completed my thesis. Frankly, writing a thesis seemed like something completely out of reach, but here I am! Throughout this process, I have found a passion for something I knew very little about before this year. I am grateful to have had great professors, classmates, and an advisor to support me along the way.

Laila Hamid is a senior at the O’Neill School of Public and Environmental Affairs. She is studying Policy Analysis with minors in Information Systems and Environmental Science & Health. After graduation, Laila will be an Associate Analyst at Salesforce.

Digital twins: The art of the possible in product development and beyond

Industrial companies around the world rely on digital tools to turn ideas into physical products for their customers. These tools have become increasingly more powerful, flexible, and sophisticated since the 1960s and 1970s, when computers first began replacing drawing boards in design offices. Today, product life-cycle management (PLM) has become engineers’ first language: PLM systems help companies to capture, codify, process, and communicate product knowledge across their organizations.

About the authors

This article is a collaborative effort by Mickael Brossard , Sebastien Chaigne, Jacomo Corbo, Bernhard Mühlreiter , and Jan Paul Stein, representing views from McKinsey’s Operations Practice.

Yet as engineering tools have become more capable, the demands placed upon them have also increased. Product functions are increasingly delivered through a combination of hardware and software. Sensors and communications capabilities allow products to offer more features and to respond more effectively to changing operating conditions and user requirements. Advanced, adaptable user interfaces have simplified the operation of complex and sophisticated machines.

Evolving business models are also blurring the boundaries between design and use. Customers expect the performance and functionality of products to improve during their life cycle, enabled by over-the-air software updates or the ability to unlock new features as needed. Many products operate as part of an ecosystem of related products and services. Increasingly, customers are not buying products outright, but paying for the capabilities they provide on a per-use or subscription basis.

The birth of the digital twin

These changing requirements have triggered a transformation in digital product representation and the creation of a new tool: the digital twin. Digital twins combine and build upon existing digital engineering tools, incorporating additional data sources, adding advanced simulation and analytics capabilities, and establishing links to live data generated during the product’s manufacture and use. A conventional PLM system uses one digital model to represent each variant of a product. A digital twin, by contrast, may have one model for each individual product, which is continually updated using data collected during the product’s life cycle.

The digital-twin approach can be applied to products, manufacturing processes, or even entire value chains. In this article, we will focus on their application to products, specifically to product design.

Digital twins offer multiple potential benefits for product-based companies and users. They can aid design optimization, reduce costs and time to market, and accelerate the organization’s response to new customer needs. Digital twins can also be a critical enabler of new revenue streams, such as remote maintenance and support offerings and “as a service” business models.

Based on the experience of companies that have already adopted the approach, we estimate that digital-twin technologies can drive a revenue increase of up to 10 percent, accelerate time to market by as much as 50 percent, and improve product quality by up to 25 percent. Digital-twin technology is becoming a significant industry. Current estimates indicate that the market for digital twins in Europe alone will be around €7 billion by 2025, with an annual growth rate of 30 to 45 percent. 1 Infinium; MarketsandMarkets; MarkNTel Advisors; Meticulous Market Research; Mordor Intelligence; SBIS; Technavio, last accessed April 2020.

Digital twins in practice

Companies in many different industries are already capturing real value by applying digital twins to product development , manufacturing, and through-life support (exhibit).

An automotive OEM, for example, has used the digital-twin approach to create a concept configurator for early phase development . The start of the development process is especially challenging for complex products because the various stakeholder groups, such as sales, engineering, and finance, may have different or even contradictory product requirements. The OEM now balances these trade-offs using a digital concept configurator that allows for simultaneous evaluation of customer requirements, technical concepts, and product costs. When a technical concept within a system or subsystem of the product is changed, the implications for meeting customer requirements or product cost targets become immediately transparent.

Would you like to learn more about our work in Product Digital Twins ?

Using the configurator within cross-functional development teams has helped the OEM to reallocate 5 to 15 percent of a new vehicle’s material costs to the attributes that drive the most customer value. Applying the approach to select customer-facing components has allowed the company to optimize costs and customer value simultaneously, improving the contribution margin of those parts by 5 to 10 percent. As a further benefit, the configurator helped the team reduce the time taken to reach agreement on changes by 20 percent, thus accelerating time to market.

Digital twins are even being used to replicate systems in complex mission scenarios. Using this approach, one aerospace and defense player has cut the time required to develop advanced products by 30 to 40 percent. The digital twin also aids discussion with customers during the development process, helping the company validate and improve its designs.

In the consumer electronics sector, a company is using product digital twins to boost quality and supply chain resilience . It stores detailed information on the content of its products, including the exact source of individual components. In the event of quality issues during production or early failures in the field, the company can trace problems back to specific supplier facilities, then take appropriate action to prevent reoccurrence of the issue. An automotive supplier uses the same approach to trace quality deviations in its production through to the upstream supply chain, and in the process has reduced scrap by 20 percent.

Digital twins are increasingly being used to improve future product generations . An electric-vehicle (EV) manufacturer, for example, uses live data from more than 80 sensors to track energy consumption under different driving regimes and in varying weather conditions. Analysis of that data allows it to upgrade its vehicle control software, with some updates introduced into new vehicles and others delivered over the air to existing customers.

Developers of autonomous-driving systems , meanwhile, are increasingly developing their technology in virtual environments. The training and validation of algorithms in a simulated environment is safer and cheaper than real-world tests. Moreover, the ability to run numerous simulations in parallel has accelerated the testing process by more than 10,000 times. Incorporating sensor data from real-world vehicles into these tests helps companies improve the veracity of their simulations and identify blind spots in the virtual test database.

The mainstreaming of additive manufacturing

A company in the renewable-energy sector is using a digital twin to automate, accelerate, and improve the engineering of hydroelectric turbines . Using the machine learning system to evaluate the likely performance of the new designs allowed it to rate more than a million different designs in seconds rather than the hours required for conventional computational flow dynamics (CFD) analysis. The winning geometry delivers the maximum theoretical performance, significantly higher than what is achievable by conventional optimization methods. Moreover, by using machine learning, the overall end-to-end design cycle time was cut in half compared with the conventional approach.

Digital twins in three dimensions

Digital twins can take many different forms. Organizations that want to take advantage of digital-twin technologies must select an appropriate form that will enhance its technical and business objectives. The design of a digital twin can vary across three dimensions (exhibit).

The first dimension encompasses the value chain steps that the digital twin will cover. An engineering twin covers value chain steps similar to those covered by conventional PLM systems, ranging from product definition to detailed engineering. A production twin replicates a product throughout the manufacturing process, incorporating data such as the components, materials, and process parameters used, as well as the results of tests and quality checks. A service twin incorporates data collected from the product in use, such as operating modes, performance, diagnostic information, and maintenance history. The most sophisticated digital twins span multiple parts of the value chain, allowing in-service data to optimize manufacturing processes or future design iterations.

The second dimension is the scope of the digital twin. A product may consist of several major systems, multiple subsystems, and hundreds or thousands of hardware and software components. Some digital twins cover only one or several components, for example, those that simulate the flow of liquids through a pipe. Others cover a full product, for example, those that simulate a car’s crash characteristics. Given the limitations of computing power, generally, the narrower the scope of a digital twin, the more precise its virtual replica will be. In contrast, full-product digital twins often need to abstract or simplify certain product behaviors to remain manageable.

The final dimension of a digital twin is its degree of sophistication . The simplest digital twins consist of various sources of data relating to a product, often from sources that have few or no links with one another. The second level of sophistication uses traditional simulation tools to perform analyses of design performance and integrate the various sources through a PLM system or similar platform.

At the third level of sophistication, a digital twin will use predictive or prescriptive analytics, as well as machine learning technology to run automated simulation refinements and yield new insights. This allows design and manufacturing teams to make informed decisions based upon direct results and performances.

At the last level of sophistication, digital twins use predictions of component failure rates or performance variations to react to changing environments and manipulate the real-world counterpart in a closed-loop setup. This approach might be used in a condition monitoring system, for example, where sensor data and simulations are combined to make inferences and predictions about the state and behavior of a specific product, and might allow a machine to compensate for wear or variations in operating conditions by adjusting parameters in real time.

Companies in other sectors are also starting to use digital twins to derive deeper insights into customer behaviors and preferences . For example, white-goods manufacturers can use data from in-service products to identify the most and least used features. That can inform future product development decisions, such as deleting rarely used features or revising the user interface to make the features more accessible.

The adoption of digital twins is currently gaining momentum across industries, as companies aim to reap the benefits of various types of digital twins. Given the many different shapes and forms of digital twins (see sidebar, “Digital twins in three dimensions”), and the different starting points of each organization, a clear strategy is needed to help prioritize where to focus digital-twin development and what steps to take to capture the most value.

How to start and succeed on your digital-twin journey

Embarking on a digital-twin journey can look daunting at first sight, especially since the breadth and depth of use cases can span the entire corporate landscape, including product portfolio choices, business model design, R&D, manufacturing, and through-life support.

This versatility can also be a strength, however, as it allows companies to start small and expand the scope, sophistication, and value-chain coverage of their digital-twin projects over time. The experience of companies that have applied digital twins in their own product operations leads to a few simple rules that can greatly increase your odds of success.

Define your aspirations

Be aware of digital-twin best practices. Do your homework and seek out perspectives on best practices and future trends in digital-twin technology. Assess and prioritize the elements of your vision. Evaluate the potential of digital-twin-related opportunities and prioritize them into an implementation road map.

Be clear about the business case. Quantify the value offered by different digital-twin opportunities and determine the minimum level of model sophistication required to generate that value. Successful projects focus on short development times and rapid ROI.

Test the waters by prototyping select use cases. Run a series of hackathons (possibly supported by digital-twin specialists) to assess your capabilities’ baseline, develop solution prototypes, refine, and adjust the initial concepts. This step calibrates the approach and prevents you from losing time and resources by attempting an impossible plan. It is part of a broader value assurance move aimed at bringing the entire project to a successful conclusion.

Know your strengths

Perform a maturity assessment. Understand your current digital product development capabilities along six main dimensions: development methodologies, PLM governance, data strategy, business processes, system complexity, and collaboration. Understanding the areas where you are most advanced and where you are lagging behind will help prioritize areas of investment for a balanced implementation of a digital twin and its use cases.

Access to appropriate talent and capabilities can make or break a digital-twin initiative. Many organizations need to develop additional expertise in areas such as advanced simulation and modeling or data analytics for user experience design.

Plan a step-by-step, agile implementation

Invest several months in developing a minimum viable product (MVP). Incubate a cross-functional, agile team dedicated to bringing priority use cases to life and building digital capabilities in the process. The MVP is now the must-do approach to maximize value gains from the start rather than waiting until the program is finalized before experiencing the first benefits.

Perform an MVP retrospective to pivot or persevere. Derive lessons from the first MVP phase to confirm your digital-twin aspirations or pivot them based on the findings (for example, the validity of use cases, complexity of implementation, and maturity of the organization). This is the second value assurance move that enables you to further calibrate the implementation plan and revise the scope to avoid generating sunk costs.

Scale up the digital-twin initiative and accelerate ROI. Optimize and standardize implementation based on insights from the MVP phase. Define an (internal or external) recruiting and capability-building strategy. Build an operating model to enable rapid scaling of successful approaches. The most advanced organizations typically consider digital-twin technologies a core strategic capability.

By following these simple best practices, you will be able to reap the benefits of digital twins in a scalable, progressive way. Are you ready?

Mickael Brossard is a partner in McKinsey’s Paris office, where Sebastien Chaigne is an associate partner; Jacomo Corbo is a partner in the London office; Bernhard Mühlreiter is a partner in the Vienna office; and Jan Paul Stein is an associate partner in the Munich office.

The authors wish to thank Roberto Argolini, Elia Berteletti, Kimberly Borden, Akshay Desai, Hannes Erntell, Alessandro Faure Ragani, Anna Herlt, Mark Huntington, Mithun Kamat, Michele Manzo, and Alessandro Mattozzi for their contributions to this article.

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COMMENTS

Aims and Objectives
Summary. One of the most important aspects of a thesis, dissertation or research paper is the correct formulation of the aims and objectives. This is because your aims and objectives will establish the scope, depth and direction that your research will ultimately take. An effective set of aims and objectives will give your research focus and ...
What Are Research Objectives and How to Write Them (with Examples)
Formulating research objectives has the following five steps, which could help researchers develop a clear objective: 8. Identify the research problem. Review past studies on subjects similar to your problem statement, that is, studies that use similar methods, variables, etc.
Research Objectives
Example: Research aim. To examine contributory factors to muscle retention in a group of elderly people. Example: Research objectives. To assess the relationship between sedentary habits and muscle atrophy among the participants. To determine the impact of dietary factors, particularly protein consumption, on the muscular health of the ...
How to Write the Aims and Objectives
1. identification of the behaviors that are considered as bullying. 2. exploring the factors that cause bullying at a culturally diverse workplace. 3. analyzing the relationship between bullying and job satisfaction of employees. 4. providing suitable recommendations on minimizing the bullying at the workplace.
Research Questions, Objectives & Aims (+ Examples)
The research aims, objectives and research questions (collectively called the "golden thread") are arguably the most important thing you need to get right when you're crafting a research proposal, dissertation or thesis.We receive questions almost every day about this "holy trinity" of research and there's certainly a lot of confusion out there, so we've crafted this post to help ...
What Is a Thesis?
Revised on April 16, 2024. A thesis is a type of research paper based on your original research. It is usually submitted as the final step of a master's program or a capstone to a bachelor's degree. Writing a thesis can be a daunting experience. Other than a dissertation, it is one of the longest pieces of writing students typically complete.
How to Write Research Objectives
To develop a set of research objectives, you would then break down the various steps involved in meeting said aim. For example: This study will investigate the link between dehydration and the incidence of urinary tract infections (UTIs) in intensive care patients in Australia. To achieve this, the study objectives w ill include:
Thesis
Thesis. Your thesis is the central claim in your essay—your main insight or idea about your source or topic. Your thesis should appear early in an academic essay, followed by a logically constructed argument that supports this central claim. A strong thesis is arguable, which means a thoughtful reader could disagree with it and therefore ...
Developing A Thesis
A good thesis has two parts. It should tell what you plan to argue, and it should "telegraph" how you plan to argue—that is, what particular support for your claim is going where in your essay. Steps in Constructing a Thesis. First, analyze your primary sources. Look for tension, interest, ambiguity, controversy, and/or complication.
How to Write Aims and Objectives for PhD Dissertation?
Introduction. In a PhD or Post Graduate dissertation, the aims and objectives play a crucial role in shaping the research process and ensuring focus. They provide a clear roadmap for your study and serve as the guiding principles that steer your research in the right direction. Aims represent the broader purpose or the overarching goal of your ...
How to Write a Thesis Statement
Placement of the thesis statement. Step 1: Start with a question. Step 2: Write your initial answer. Step 3: Develop your answer. Step 4: Refine your thesis statement. Types of thesis statements. Other interesting articles. Frequently asked questions about thesis statements.
Research Objectives
Research Objectives. Research objectives refer to the specific goals or aims of a research study. They provide a clear and concise description of what the researcher hopes to achieve by conducting the research.The objectives are typically based on the research questions and hypotheses formulated at the beginning of the study and are used to guide the research process.
Thesis
[The introduction sets the stage for your thesis, providing background information on the topic, explaining the research problem or question, and outlining the scope and objectives of your research. It should also include a brief overview of the structure of your thesis, indicating what will be covered in each chapter.] Chapter 2: Literature Review
How To Write A Dissertation Introduction Chapter
Craft an enticing and engaging opening section. Provide a background and context to the study. Clearly define the research problem. State your research aims, objectives and questions. Explain the significance of your study. Identify the limitations of your research. Outline the structure of your dissertation or thesis.
Dissertation Structure & Layout 101 (+ Examples)
Time to recap…. And there you have it - the traditional dissertation structure and layout, from A-Z. To recap, the core structure for a dissertation or thesis is (typically) as follows: Title page. Acknowledgments page. Abstract (or executive summary) Table of contents, list of figures and tables.
What Is a Thesis?
A thesis is a type of research paper based on your original research. It is usually submitted as the final step of a PhD program in the UK. Writing a thesis can be a daunting experience. Indeed, alongside a dissertation, it is the longest piece of writing students typically complete. It relies on your ability to conduct research from start to ...
21 Research Objectives Examples (Copy and Paste)
Examples of Specific Research Objectives: 1. "To examine the effects of rising temperatures on the yield of rice crops during the upcoming growth season.". 2. "To assess changes in rainfall patterns in major agricultural regions over the first decade of the twenty-first century (2000-2010).". 3.
Lesson 3: Research objectives
Lesson 3: Research objectives. While your problem formulation serves to describe the aim of your thesis, the objectives provide an accurate description of the specific actions you will take in order to reach this aim. As with the problem formulation, the overall objective should be framed in a single sentence.
How do I write a research objective?
The best way to remember the difference between a research plan and a research proposal is that they have fundamentally different audiences. A research plan helps you, the researcher, organize your thoughts. On the other hand, a dissertation proposal or research proposal aims to convince others (e.g., a supervisor, a funding body, or a dissertation committee) that your research topic is ...
Thesis Statements
A thesis statement: tells the reader how you will interpret the significance of the subject matter under discussion. is a road map for the paper; in other words, it tells the reader what to expect from the rest of the paper. directly answers the question asked of you. A thesis is an interpretation of a question or subject, not the subject itself.
Research Objective Generator
Get your 100% customized paper done in as little as 1 hour. Let's start. Show example. Here's how to start using our objective generator for research: Choose an action verb from the drop-down list. Enter your aim. Move the toggle if needed. Click "Generate now" and enjoy a properly formulated objective.
Advice For Your Honors Thesis
Completing my honors thesis has been one of the most rewarding, yet challenging, projects I've embarked on during my time at IU. Do not be deterred by the slightly overwhelming idea of writing a thesis in one year - you can do it! Through this process you will learn so much about academic writing and your interest.
How to Write a Thesis or Dissertation Introduction
To help guide your reader, end your introduction with an outline of the structure of the thesis or dissertation to follow. Share a brief summary of each chapter, clearly showing how each contributes to your central aims. However, be careful to keep this overview concise: 1-2 sentences should be enough. Note.
PLM systems and the digital twin journey
Organizations that want to take advantage of digital-twin technologies must select an appropriate form that will enhance its technical and business objectives. The design of a digital twin can vary across three dimensions (exhibit). The first dimension encompasses the value chain steps that the digital twin will cover. An engineering twin ...
Major Rafah operation will not defeat Hamas, White House says
President Joe Biden believes that a major Rafah operation by Israel will not advance the country's objective of defeating the Hamas Palestinian militant group in Gaza, the White House said on ...
How to Write a Thesis or Dissertation Conclusion
Step 2: Summarize and reflect on your research. Step 3: Make future recommendations. Step 4: Emphasize your contributions to your field. Step 5: Wrap up your thesis or dissertation. Full conclusion example. Conclusion checklist. Other interesting articles. Frequently asked questions about conclusion sections.
Putin orders tactical nuclear weapons drills in response to ...
President Vladimir Putin has ordered Russian forces to rehearse deploying tactical nuclear weapons, as part of military drills to respond to what he called "threats" by the West. Since ...

Introduction

What Are Aims and Objectives?

Example of a Research Aim

Research Objectives

Example of a Research Objective

Restructuring Research Objectives as Research Questions

Difference Between Aims and Objectives

How to Write Aims and Objectives

Research Objectives

Table of Research Verbs to Use in Aims and Objectives

Checking Research Objective Example Against Recommended Approach

Mistakes in Writing Research Aims and Objectives

2. Making Your Research Objectives Too Ambitious

3. Formulating Repetitive Research Objectives

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