phd computer science university of manchester

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PhD Computer Science

University of manchester, different course options.

• Key information

Course Summary

Tuition fees, entry requirements, similar courses at different universities, key information data source : idp connect, qualification type.

PhD/DPhil - Doctor of Philosophy

Subject areas

Computer Science

Course type

Programme description

The PhD is a three-year (or six year, if taken part-time) degree resulting in a substantial thesis.

As one of the largest Departments of in the UK we cover a huge spectrum of Computer Science topics. We currently have ten individual research groups ranging from Advanced Processor Technologies to Text Mining. Our core Computer Science research is augmented by interdisciplinary research taking place at the interface with discipline areas including mathematics, physics, medicine and biology. A detailed overview of the Department's research groups and core and interdisciplinary research themes can be found in the 'research' section of our website .

We're keen to receive applications from potential research students in all areas. Although your application is through the Department, you are basically applying for a place in a research group or with a particular supervisor. You therefore need to look through the research groups to find a suitable topic or potential supervisor. Alternatively you can identify a possible PhD project from our list of available projects.

The Degree of Doctor of Philosophy (PhD) is awarded by the University in recognition of the successful completion of a period of supervised research and training, the results of which show convincing evidence of the capacity of the candidate to pursue research and scholarship and make an original contribution and substantial addition to knowledge. The results of this research shall then be embodied in a thesis or other appropriate form and must contain material of a standard appropriate for peer-reviewed publication.

Coursework and assessment

As a research student you would typically work in an office with three/four other researchers from your group. You would be encouraged to present papers at conferences and publish your results in academic journals. We run several research training course-units and you can take course-units on a number of our Masters programmes. Opportunities are also provided to supplement income by undertaking laboratory demonstrating and other teaching support work.

UK fees Course fees for UK students

For this course (per year)

International fees Course fees for EU and international students

Students need to have minimum academic entry requirements for a Doctorate programme are either: a 2:1 UK Honours degree in a discipline directly relevant to the PhD; an undergraduate degree at 2:1 or above and Masters award at Merit level in a discipline directly relevant to the PhD, or equivalent international qualifications. Whilst the most common first degree is Computer Science, we also consider students with backgrounds in an appropriate subject for the research topic (e.g. mathematics, physics, engineering, biology and medicine). The school may require a 1st Class Honours degree or international equivalent for some research projects. This requirement is specified at the discretion of the academic supervisor involved under the relevant advertised project.

MSc Computer Animation and Visual Effects

Bournemouth university, ma multimedia journalism, ma 3d computer animation, msc cyber security & human factors, msc management with business analytics.

PGR Handbooks 2022/23

• PhD handbook 2022/23 [ PDF ] [ HTML ] [ EPUB ]
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PhD Computer Science University of Manchester

Course options

Qualification.

PhD/DPhil - Doctor of Philosophy

The University of Manchester

• TUITION FEES
• ENTRY REQUIREMENT
• UNIVERSITY INFO

Course summary

Programme description

The PhD is a three-year (or six year, if taken part-time) degree resulting in a substantial thesis.

As one of the largest Departments of in the UK we cover a huge spectrum of Computer Science topics. We currently have ten individual research groups ranging from Advanced Processor Technologies to Text Mining. Our core Computer Science research is augmented by interdisciplinary research taking place at the interface with discipline areas including mathematics, physics, medicine and biology. A detailed overview of the Department's research groups and core and interdisciplinary research themes can be found in the 'research' section of our website .

We're keen to receive applications from potential research students in all areas. Although your application is through the Department, you are basically applying for a place in a research group or with a particular supervisor. You therefore need to look through the research groups to find a suitable topic or potential supervisor. Alternatively you can identify a possible PhD project from our list of available projects.

The Degree of Doctor of Philosophy (PhD) is awarded by the University in recognition of the successful completion of a period of supervised research and training, the results of which show convincing evidence of the capacity of the candidate to pursue research and scholarship and make an original contribution and substantial addition to knowledge. The results of this research shall then be embodied in a thesis or other appropriate form and must contain material of a standard appropriate for peer-reviewed publication.

Coursework and assessment

As a research student you would typically work in an office with three/four other researchers from your group. You would be encouraged to present papers at conferences and publish your results in academic journals. We run several research training course-units and you can take course-units on a number of our Masters programmes. Opportunities are also provided to supplement income by undertaking laboratory demonstrating and other teaching support work.

Module Options

Tuition fees.

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£ 28,000 per year

Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.

University information

University of manchester, university league table, campus address.

The University of Manchester, Oxford Road, Manchester, Manchester, M13 9PL, England

Subject rankings

Subject ranking.

13th out of 115 6

Entry standards

Graduate prospects

Student satisfaction

Suggested courses

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PhDs in Science and Engineering

Offer holders

HELLO TOMORROW

Cdts recruiting this september.

Fully-funded places in Centres for Doctoral Training for nuclear energy and AI.

A Manchester PhD could change your tomorrow.

This is the place where the atom was split, graphene was discovered and AI was born. It could be your home too.

Whether you're interested in a CDT, an MPhil, a PhD, Eng D or MSc by Research, this page will take you through the process of becoming a Manchester postgraduate researcher, from finding your research passion, to knowing how it’ll be funded.

Right, let’s start your tomorrow.

Choose your own path

Join a global institution where you can choose between full or part time projects, develop transferable skills, accelerate your career and forge the future you want.

Innovate and create

Our postgraduate researchers work at the cutting-edge of research, making important breakthroughs, big and small, as we build a better future together.

A different place

Enjoy life in a multicultural city, that people who think differently are proud to call home, and feel you belong as part of our diverse research community.

World leading facilities

We’re home to some of the best facilities in the world, from the biggest electrical infrastructure test facility in UK academia, to the only in-land wave tank in the UK.

Discover your tomorrow

Get ready for a life changing experience like no other.

Ours is a diverse community, with talented researchers from different countries, cultures, backgrounds and beliefs, where everyone is welcome. That's why we've got flexible pathways to support you, whatever your background or career stage. Hear from current postgraduate researchers and discover more about PhD life at Manchester.

Getting started

Is postgraduate research at manchester for you.

At Manchester we actively encourage applicants from diverse career paths and backgrounds, and from all sections of the community, regardless of age, disability, ethnicity, gender, gender expression, sexual orientation and transgender status.

We're looking for postgraduate researchers that not only meet our entry requirements but also possess key attributes and characteristics which we think make an excellent Manchester researcher.

Before you start your journey, use our eligibility checker to discover whether you've got what it takes to become a postgraduate researcher in the Faculty of Science and Engineering at Manchester.

Check your eligibility

Join our newsletter

Sign-up to our newsletter and receive monthly updates and tips on applying for postgraduate research in the Faculty of Science and Engineering.

• Find out about the latest featured and live projects
• Be the first to hear about newly launched funding opportunities and events
• Listen to advice and tips from currently postgraduate researchers and our support teams
• And much more

Choose your research area

What inspires you.

Your tomorrow should be built on your research passion. Start your PhD journey by finding the research project that best suits you.

Browse across our  nine Departments and research areas ,  innovative Centres for Doctoral Training (CDTs) , and international joint and dual awards . Alternatively, head straight to  our project search  to find all of our live advertised projects, or to our  supervisor search  to start by finding a suitable supervisor.

Browse by department and research theme

Already know which area you want to research?

Learn more about the research themes and vast range of expertise in each of our nine Departments, and browse live projects for each area:

• Chemical Engineering - including catalysis and porous materials; process integration; and sustainable industrial systems.
• Chemistry - including biotechnology; inorganic, materials, organic, physical, and theoretical chemistry disciplines.
• Computer Science - including computer systems engineering; data engineering; and software systems engineering.
• Earth and Environmental Sciences - including atmospheric sciences; ecology and evolution; palaeontology; and planetary science.
• Electrical and Electronic Engineering - including specialist programme options in electrical and electronic engineering.
• Materials - including biomaterials; fashion management and marketing; metallurgy and corrosion; nanomaterials; and textiles and apparel.
• Mathematics - including applied maths; financial maths; mathematical logic; probability; pure mathematics; and statistics.
• Mechanical, Aerospace and Civil Engineering - including environmental engineering; management of projects, and nuclear engineering.
• Physics and Astronomy - including accelerator, nuclear and particle physics; astronomy, astrophysics and cosmology; condensed matter, atomic and biological physics; theoretical physics.

Browse all live projects

Want to search projects across the Faculty of Science and Engineering?

Simply head over to our project search to browse live projects from across the Faculty of Science and Engineering, and find a project you're passionate about.

Search live projects

Centres for Doctoral Training

Want to combine research with practical training and collaborate across research areas and institions?

Find out more about our Centres for Doctoral Training which offer fully funded PhDs in a range of research areas including advanced biomedical materials, graphene, integrated catalysis, and nuclear energy.

Explore doctoral training

Dual and joint awards

Want to carry out some of your research in a different country?

Discover more about our dual and joint award partnerships with prestigious universities across the world, and opportunities to research in both Manchester and Australia, China, Japan, or India.

Browse joint and dual awards

Found a project you're passionate about and ready to apply? Get started with your application right here.

Find a supervisor

Where to start.

Getting in touch with a potential supervisor for your project is a crucial part of your PhD journey.

• Tell you more about a project and the team you could work with.
• Nominate you for one of our funding scholarships.
• Sponsor your proposed research idea.
• Support you at every stage of your research journey.

Search for researchers by name or area of research

Found a supervisor and spoken to them about supporting you and your application for postgraduate research? Get started with your application right here.

Fund your research

Find the funding you need.

There are lots of ways you can secure funding for your postgraduate research.

Depending on the project you're applying for and when you're applying, there are a range of options available to you:

• Funded projects - when browsing projects filter your search by 'Funding Status' and check the 'Funding' section to see whether the project itself is already funded.
• University, Faculty and Department funding - if the project you're interested in isn't funded, use our funding database below to browse scholarships and awards which you may be eligible to apply for, or speak to our admissions team or your supervisor about other potential sources of funding.
• Self-funded or government sponsored projects - if you're self-funded or government funded then we'll need to see proof of funds or a letter from your sponsor when you apply.

Search our funding database

Additional funding support.

Funded projects and scholarships aren’t the only ways you can fund your postgraduate research.

• Postgraduate loans – you might qualify for a non-means tested loan from the UK Government. Paid directly to you, these re-payable loans contribute towards the cost of your study.
• Funding for students with disabilities – talk to our Disability Support Office about the external sources of financial support that might be available.
• Work while you study – our schools and faculties offer additional opportunities to supplement your income, including tutoring and graduate teaching assistant roles.

Thought about how you'd like to fund your postgraduate research and all set to apply? Get started with your application right here.

Meet our researchers

Hello charlotte.

"I really love just walking around Manchester; there’s something for everyone here."

Hear how Charlotte balances her research, teaching and life in a city she calls home.

Meet Charlotte

Hello Toufic

"Life as a postgraduate researcher varies."

Toufic tells us about the ups and downs of his research and how he's taking advantage of the industry links at the University.

Meet Toufic

"Manchester really stood out for me because there are so many world leading projects going on here."

Jie tells us about her research and the opportunities she's discovering.

Why Manchester?

Your future starts here.

A brilliant campus, at the heart of the UK's most liveable city.

Discover our campus

Explore the city

What's next?

Progress your application.

So, you've found a research area to focus on, and a supervisor to support you. You also know how you want to fund your project. But what's next?

1. Check the specific entry requirements and tuition fees for your programme in our  course profile section .

2. Read our short guide to what you'll need to start your application.

3. Make sure you have all of your information to hand before you start the form. Use our application checklist to tick off everything you need.

4. Complete our online application form

Your application checklist

Start your new tomorrow.

Not long to go now...the final step is your application.

Before you apply, remember that your application is more likely to be successful if you have already made contact with potential supervisors , to find out if they are able to offer supervision in your area of interest.

Apply for an advertised project or CDT

You won’t need to submit a research proposal, you'll just need the relevant project title and supervisor(s).

Apply for your own research project

You’ll need to submit your research proposal and the name of the supervisor/s you have identified as part of your application.

Got a question? We're here to help!

Not sure where to start or got a question about applying, funding or something else?

Chat to our friendly application team today

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Department of Computer Science

Data science

Our expertise spans the full data science life-cycle: from information management and privacy, via machine learning and representational logics, to practical applications in bio-health informatics.

Our facilities

We boast an incredible array of facilities, making our innovative data science research possible.

• See our facilities

A key feature of our approach is closely coupling methodology and application. This creates a self-fulfilling loop, where challenging real-world problems drive the methodology research agenda, but also provide a natural route to exploiting new algorithms and methods.

We believe this deeply multidisciplinary approach is one of the distinctive features of data science at Manchester.

Areas of expertise

Our researchers focus their work in the following specialist areas:

Information management

We design, develop and build state of the art data and knowledge management systems -- spanning from formal underpinnings in knowledge representation and logic, to challenging interdisciplinary work.

Machine learning and robotics

We develop and apply novel statistical Machine Learning methodologies, from theory to application, and push forward the state of the art in Human-Robot interactions with our Cognitive Robotics Lab.

Natural language processing and text mining

We develop NLP and text mining techniques to provide insights for social scientists, biologists, and neuroscientists. Our strong interdisciplinary foundations support a world leading expertise in information extraction.

Postgraduate research projects

List by research group List by supervisor

Data science projects

• (MRC DTP) Unlocking the research potential of unstructured patient data to improve health and treatment outcomes
• Applying Natural Language Processing to real-world patient data to optimise cancer care
• Automated Repair of Deep Neural Networks
• Automatic Activity Analysis, Detection and Recognition
• Automatic Emotion Detection, Analysis and Recognition
• Automatic Experimental Design with Human in the Loop (2025 entry onward)
• Automatic Learning of Latent Force Models
• Blockchain-based Local Energy Markets
• Collaborative Probabilistic Machine Learning (2025 entry onward)
• Contextualised Multimedia Information Retrieval via Representation Learning
• Controlled Synthesis of Virtual Patient Populations with Multimodal Representation Learning
• Data Integration & Exploration on Data Lakes
• Data Lake Exploration with Modern Artificial Intelligence Techniques
• Data Wrangling
• Data-Science Approaches to Better Understand Multimorbidity and Treatment Outcomes in Patients with Rheumatoid Arthritis
• Deep Learning for Temporal Information Processing
• Design and Implementation of an FPGA-Accelerated Data Analytics Database
• Dynamic Resource Management for Intelligent Transportation System Applications
• Ensemble Strategies for Semi-Supervised, Unsupervised and Transfer Learning
• Explainable and Interpretable Machine Learning
• Extending Behavioural Algorithmics as a Predictor of Type 1 Diabetes Blood Glucose Highs
• Finding a way through the Fog from the Edge to the Cloud
• Fishing in the Data Lake
• Geo-location as a Predictor of Type 1 Diabetes Blood Glucose
• Hardware Aware Training for AI Systems
• Integrated text and table mining
• Interpretable machine learning for healthcare applications
• Knowledge Graph Construction via Learning and Reasoning
• Knowledge Graph for Guidance and Explainability in Machine Learning
• Learning of user models in human-in-the-loop machine learning (2025 entry onward)
• Machine Learning and Cognitive Modelling Applied to Video Games
• Machine Learning with Bio-Inspired Neural Networks
• Managing the data deluge for Big Data, Internet-of-Things and/or Industry 4.0 environments
• Models of Bio-Sensed Body Temperature and Environment as a Refinement of Type 1 Diabetes Blood Glucose Prediction Algorithmics
• Multi-task Learning and Applications
• Music Generation and Information Processing via Deep Learning
• Probabilistic modelling and Bayesian machine learning (2025 entry onward)
• Problems in large graphs representing social networks
• Representation Learning and Its Applications
• Scheduling, Resource Management and Decision Making for Cloud / Fog / Edge Computing
• Security and privacy in p2p electricity trading
• Specifying and Optimising Data Wrangling Tasks
• Text Analytics and Blog/Forum Analysis
• Trustworthy Multi-source Learning (2025 entry onward)
• Verification Based Model Extraction Attack and Defence for Deep Neural Networks
• Zero-Shot Learning and Applications

Mauricio Alvarez projects

Richard banach projects.

• Application Level Verification of Solidity Smart Contracts
• Formal Methods: Hybrid Event-B and Rodin
• Formal Methods: Mechanically Checking the Semantics of Hybrid Event-B
• Formal Semantics of the Perfect Language

Ke Chen projects

• Biologically-Plausible Continual Learning

Jiaoyan Chen projects

Lucas cordeiro projects.

• Automatic Detection and Repair of Software Vulnerabilities in Unmanned Aerial Vehicles
• Combining Concolic Testing with Machine Learning to Find Software Vulnerabilities in the Internet of Things
• Designing Safe & Explainable Neural Models in NLP
• Exploiting Software Vulnerabilities at Large Scale
• Finding Vulnerabilities in IoT Software using Fuzzing, Symbolic Execution and Abstract Interpretation
• Hybrid Fuzzing Concurrent Software using Model Checking and Machine Learning
• Using Program Synthesis for Program Repair in IoT Security
• Verifying Cyber-attacks in CUDA Deep Neural Networks for Self-Driving Cars

Alejandro Frangi projects

• Solving PDEs via Deep Neural Nets: Underpinning Accelerated Cardiovascular Flow Modelling with Learning Theory

Andre Freitas projects

Simon harper projects, samuel kaski projects, dirk koch projects.

• A Multi-Tenancy FPGA Cloud Infrastructure and Runtime System
• Design and Exploration of a Memristor-enabled FPGA Architecture
• Programmable Mixed-Signal Fabric for Machine Learning Applications

Tingting Mu projects

• Machine Learning for Vision and Language Understanding
• Ontology Informed Machine Learning for Computer Vision

Mustafa Mustafa projects

Goran nenadic projects, paul nutter projects.

• A New Generation of Terahertz Emitters: Exploiting Electron Spin
• Effective Teaching of Programming: A Detailed Investigation
• Skyrmionic Devices for Neuromorphic Computing

Norman Paton projects

Oliver rhodes projects, rizos sakellariou projects.

• Job and Task Scheduling and Resource Allocation on Parallel/Distributed systems including Cloud, Edge, Fog Computing

Uli Sattler projects

Sandra sampaio projects, viktor schlegel projects, youcheng sun projects, markel vigo projects.

• Biases in Physical Activity Tracking
• User Modeling for Physical Activity Tracking

Liping Zhao projects

Hongpeng zhou projects, research profiles.

Find out more about the researchers who work in our Department using the University's Researcher Explorer.

Search our researchers

See the doctoral research opportunities and projects we offer across the Department.

• Department of Computer Science
• Faculty of Science and Engineering
• School of Engineering
• 1 - 50 out of 240 results
• Last Name (descending)

Search results

Fatima Abacha

Person: Doctor of Philosophy

Manith Adikari

Alaa Alahmadi

• Human Computer Systems - Honorary Research Fellow

Person: Academic

Mohannad Aldughaim

Seham Alghamdi

Nour Alhariqi

Areej Alhassan

Nura Aljaafari

Alaa Al Jamea

Salem AlJanah

• Systems and Software Security - Honorary Research Fellow

Abdullah Khalid A AlMasaud

Eman Alqahtani

Fai Alsaykhan

Ashwaq Alsuhaymi

Hadeel Altameemi

Mauricio Alvarez

• Information Management - Senior Lecturer in Machine Learning

Sophia Ananiadou

• Natural Language Processing and Text Mining - Chair in Computer Science

Andreas Andronikakis

Georgios Angelopoulos

Person: No Award - Postgraduate

Terri Attwood, BSc, PhD

• Computer Science Teaching - Emeritus Professor

Bardia Babaei

Finn Bacall

• Information Management - Senior Research Software Engineer

Person: Technical

Thomas Baldwin-McDonald

Richard Banach

• Systems and Software Security - Senior Lecturer

Mohammed Basheikh

Naji Bassil

Tharindu Batawala Acharige

Riza Theresa Batista-Navarro

• Natural Language Processing and Text Mining - Senior Lecturer in Text Mining

Talgar Bayan

Sean Bechhofer

• Computer Science Teaching - Reader

Diana Benjumea Hernandez

Davide Bertozzi

• Advanced Processor Technology - Reader in Advanced Processor Technology

Ahmad Bilal

Hizal Hanis Bin Hashim

Stewart Blakeway

• Computer Science Teaching - Lecturer (Teaching Focused)

Andrew Brass, BSc, PhD

• Human Computer Systems - Professor of Bioinformatics
• Division of Informatics, Imaging & Data Sciences (L5) - Professor of Bioinformatics

Gavin Brown

• Machine Learning and Robotics - Professor of Computer Science

Angelo Cangelosi

• Machine Learning and Robotics - Professor of Machine Learning & Robotics

Thomas Carroll

• Computer Science Teaching - Lecturer (TF) in Computer Science

Barry Cheetham

• Computer Science Teaching - Honorary Senior Lecturer

Jiaoyan Chen

• Department of Computer Science - Lecturer in Data Intensive Systems

• Machine Learning and Robotics - Senior Lecturer in Machine Learning & Perception

Zhongyan Chen

Kelvin Chung

Sarah Clinch

• Human Computer Systems - Senior Lecturer in Computer Science

Emily Collins

• Department of Computer Science - Dame Kathleen Ollerenshaw Fellow

Lucas Cordeiro

• Systems and Software Security - Reader in Prog Analysis/Cyber Security

Satya Prakash Dash

Alternatively, use our A–Z index

Attend an open day

Download our course brochure

Discover more about our new Home of Engineering

BSc Computer Science / Overview

Year of entry: 2024

• View full page

Find out more about contextual admissions .  

39 points overall with 7,7,7 in Higher Level subjects, including 7 in Mathematics: Analysis and Approaches. Applicants should be studying a minimum of one Science subject at Higher Level. Science subjects include Computer Science, Physics, Chemistry or Biology.  

For this programme of study we will accept: Higher Level Mathematics: Analysis and Approaches only.   

Applicants studying the International Baccalaureate Career Related Programme (IBCP) should contact the academic School prior to applying so that their academic profile can be considered.

Full entry requirements

The Department of Computer Science receives in the region of 3000 applications per year for 300 places across our undergraduate degree courses.

Apply through UCAS .

Find out how this course aligns to the UN Sustainable Development Goals , including learning which relates to:

Goal 4: Quality education

Goal 8: decent work and economic growth, goal 9: industry, innovation and infrastructure, goal 17: partnerships for the goals, course overview.

• Birthplace of the world's first stored-program computer and home to the first graduates in Computer Science!
• Number-one targeted university by top UK employers (THE Graduate Market, 2022 and 2023)
• Enjoy the freedom to choose from an extremely wide range of Computer Science modules and curate your skillset
• Ranked shared first place for best Computer Science research environment in the UK (REF 2021)

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Tuition fees for home students commencing their studies in September 2024 will be £9,250 per annum. Tuition fees for international students will be £34,500 per annum. For general information please see the undergraduate finance pages.

Policy on additional costs

All students should normally be able to complete their programme of study without incurring additional study costs over and above the tuition fee for that programme. Any unavoidable additional compulsory costs totalling more than 1% of the annual home undergraduate fee per annum, regardless of whether the programme in question is undergraduate or postgraduate taught, will be made clear to you at the point of application. Further information can be found in the University's Policy on additional costs incurred by students on undergraduate and postgraduate taught programmes (PDF document, 91KB).

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The University of Manchester is committed to attracting and supporting the very best students. We have a focus on nurturing talent and ability and we want to make sure that you have the opportunity to study here, regardless of your financial circumstances.

For information about scholarships and bursaries please visit our  undergraduate student finance pages .

UN Sustainable Development Goals

The 17 United Nations Sustainable Development Goals (SDGs) are the world's call to action on the most pressing challenges facing humanity. At The University of Manchester, we address the SDGs through our research and particularly in partnership with our students.

Led by our innovative research, our teaching ensures that all our graduates are empowered, inspired and equipped to address the key socio-political and environmental challenges facing the world.

To illustrate how our teaching will empower you as a change maker, we've highlighted the key SDGs that our courses address.

Ensure inclusive and equitable quality education and promote lifelong learning opportunities for all

Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all

Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation

Strengthen the means of implementation and revitalize the Global Partnership for Sustainable Development

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The School of Engineering creates a world of possibilities for students pursuing skills and understanding. Through dynamic research and teaching we develop engineering solutions that make a difference to society in an ethical and sustainable way.  Science-based engineering is at the heart of what we do, and through collaboration we support the engineers and scientists of tomorrow to become technically strong, analytically innovative and creative. Find out more about Science and Engineering at Manchester .

Courses in related subject areas

Use the links below to view lists of courses in related subject areas.

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Regulated by the office for students.

The University of Manchester is regulated by the Office for Students (OfS). The OfS aims to help students succeed in Higher Education by ensuring they receive excellent information and guidance, get high quality education that prepares them for the future and by protecting their interests. More information can be found at the OfS website .

You can find regulations and policies relating to student life at The University of Manchester, including our Degree Regulations and Complaints Procedure, on our regulations website .

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The Bioinformatics PhD Program is well established, with a long history of successful graduates in both academia and industry.  

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To apply for the Bioinformatics PhD Program, you must submit complete applications by December 1 for admission the following Fall term. Early applications are not allowed and will not be considered. 

Please visit the Rackham Graduate School web pages for additional information on applying. There you will also find information on how to respond to an offer of admission, plus tips and materials required for international applicants and incoming students.

If you are certain about pursuing a Bioinformatics PhD, then applications should be submitted directly to the Bioinformatics PhD Program ; there are more than 100 diverse affiliated faculty to choose from.

Applicants should be U.S. citizens or permanent residents. In addition, applicants with a background in quantitative sciences should consider applying directly. Separately, if you are transferring from another University of Michigan Program or have obtained an established University of Michigan mentor affiliated with the program, a direct application is most appropriate.

PIBS is an umbrella program that offers first-year PhD students flexibility in exploring opportunities in bioinformatics and thirteen other graduate programs. Through PIBS, students have the opportunity to rotate in, and potentially join the lab of a faculty mentor in another program; there are more than 500 diverse faculty to select from. PIBS students who list Bioinformatics as their primary choice must complete at least one rotation with a Bioinformatics-affiliated faculty member. After 10 months in PIBS, students officially join Bioinformatics (or one of the other programs). You can visit the PIBS website for more information.

Please note that reviewing admissions faculty for both PIBS and direct applications are the same. In addition, admitted applicants take the same Bioinformatics-specific courses and activities. See below for details on program diversity outreach, application materials, and funding.

Students who will have an MS in a relevant field (e.g. computer science, statistics, biostatistics, biology) from another university may request to have up to 6 credit-hours (two classes) waived. These classes may be used to help fulfill the core PhD requirements for biology (1 course), statistics (2 courses), and/or computing (1 course). To obtain approval, students need to send a detailed syllabus of the class(es) they took to the PhD directors along with their grade(s), which must be a B or better. The other PhD course requirements, including BIOINF-529 and two advanced bioinformatics courses, cannot be waived.

Most international Bioinformatics PhD applicants should apply through PIBS. However, some who are already embedded in a University of Michigan mentor lab affiliated with the program may be an appropriate fit for the direct Bioinformatics PhD program.

The TOEFL or IELTS exam is required unless Rackham Graduate School waiver requirements have been met. Criteria for English proficiency exemption can be found on the Rackham website . In addition, a list of required credentials from non-U.S. institutions for an application can be found here.

The Bioinformatics Graduate Program encourages applications from traditionally underrepresented minorities, students with disabilities, and those from disadvantaged backgrounds. There are numerous funding opportunities and resources on campus to contribute to students overall well-being while pursuing studies. Several resources available to students can be found on the Rackham Graduate School Diversity, Equity, and Inclusion website .

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All application materials should be submitted electronically when possible. Applicants must meet  Rackham's Minimum Requirements for Admission . The  online application form  can be found on the Rackham Admissions webpages. The application is available in early September through the deadline. 

• GPA, minimum 3.2/4.0 (exceptions may be made if deemed appropriate)
• Letters of recommendation (3 required): Please be aware that submitting only the Rackham Recommendation for Admission Form is insufficient; forms must be accompanied by a letter from the recommender. All letters are due by the application deadline. Without them, applications will not be considered complete or reviewed by the Program Admissions Committee.
• Statement of Purpose: The Statement of Purpose should be a concise, well-written statement about your academic and research background, your career goals, and how Michigan's graduate program will help you meet your career and educational objectives.
• Personal Statement: The Personal Statement should be a concise, well-written statement about how your personal background and life experiences, including social, cultural, familial, educational, or other opportunities or challenges, motivated your decision to pursue a graduate degree at the University of Michigan. This is not an Academic Statement of Purpose, but a discussion of the personal journey that has led to your decision to seek a graduate degree.
• Transcripts: Please submit unofficial transcripts electronically with your online application
• GRE scores are no longer included as part of admission
• Applicants whose native language is not English must demonstrate English proficiency via either the TOEFL or IELTS exam. The institution code is 1839. Other exams may not be substituted. Rackham Graduate School offers a full explanation of this requirement , including exemption criteria. Please contact Rackham directly ( [email protected] ) with questions.

Diversity is a key component of excellence, especially for solving the complex biomedical challenges that our field of computational medicine and bioinformatics faces. We believe that all people—regardless of background, race, religion, sexual/gender orientation, age or disability—deserve an equitable opportunity to pursue the education and career of their choice.

The Bioinformatics Graduate Program will provide tuition, healthcare coverage, and a stipend on a 12-month basis. This level of support will be maintained throughout a student's tenure in the Program, provided s/he remains in good academic standing and makes reasonable progress towards the degree as determined by the Graduate Directors, with faculty input. It is expected that the student will be supported directly by the mentor's laboratory, beginning in the second year. The expected time to degree is typically 5-6 years.

The U-M MS program is a terminal degree program. If you are interested in the Bioinformatics PhD Program, you must submit a new application. If you are a Bioinformatics MS student who is in good academic standing and has identified a Bioinformatics affiliated faculty mentor, you may apply for admission directly to the PhD Bioinformatics Program for the Winter term. Reviewing faculty take all application components into account and mentors are prepared to take both academic and financial responsibility for their trainees.

Eligibility: Only current or recently graduated University of Michigan Master’s students are eligible. Before applying, students must have completed more than half of all required courses, with at least six credits from the Bioinformatics Program.

Application deadline: October 1

The online application form can be found on the Rackham Admissions webpages. The application is available in early September through the deadline.

• Letters of recommendation: Please be aware that submitting only the Rackham Recommendation for Admission Form is insufficient; forms must be accompanied by a letter from the recommender. If you wish to include three letters from your original application, only one additional letter is needed. It must be from the DCMB faculty member who will serve as your primary mentor. The letter should state clearly that the mentor takes responsibility for your funding upon admission. Alternatively, you may wish to obtain three new letters of recommendation. The Admissions Committee strongly encourages you to include letters from those familiar with your research and coursework obtained while pursuing your Master’s degree. Of these, one must be from the faculty member who will serve as your primary mentor. The letter should state clearly that the mentor takes responsibility for your funding upon admission.
• Statement of Purpose: The Statement of Purpose should be a concise, well-written statement about your academic and research background, your career goals, and how the PhD Program will help you meet your career and educational objectives.
• Transcripts: Only a current, unofficial U-M transcript is necessary. You do not need to re-submit materials included with your Master’s application.
• TOEFL: If you submitted TOEFL scores when applying to the Master’s Program, additional test scores are not needed.

Bioinformatics consists of a mathematical and/or statistical analysis of a biomedical problem using computation. We define bioinformatics widely and include traditional bioinformatics areas such as for examples, systems biology, genomics, proteomics, plus statistical and evolutionary genetics, clinical informatics, and protein modeling.

As an interdisciplinary field, Bioinformatics attracts graduate students from mathematics, statistics, physics, computer science, biomedical engineering, chemistry, biochemistry and biology. Most incoming students have both a major in one and a minor in another discipline. In recent years students have entered with undergraduate training in bioinformatics or computational biology.

Each student obtains individual counseling by one of the two graduate program directors upon arrival and throughout their academic career. As Bioinformatics is still developing, new courses are added all the time. Current students are encouraged to contact the Program Directors about courses that may be relevant to their studies and are not listed on the website (esp. if they are new or infrequently offered).

In most cases, we recommend you apply to the PIBS program, as it provides flexibility in classes, funding, and a central admission for many biomedical programs. If you have no or very little biology background, please contact our Student Services Representative as to whether a direct application would be better. Current student who are considering transferring areas of study should also contact the Bioinformatics Graduate Office.

There is no need to apply both direct and through PIBS, as the same committee sees your applications.

For most students, thesis work includes computing, reading, and writing. A small group also participates in wet laboratory work. Please check both the research areas and student webpages for an overview of the varied subjects addressed in research and student theses.

Many of our graduate students obtain academic postdoctoral fellowships and go on to faculty positions. Quite a significant number of graduates go into non-academic professions such as small or large biotech companies. Some have founded their own business, and others apply their analytical skills in companies unrelated to bioinformatics. For a current list of graduate placement, please visit the alumni pages.

No. If you want to get a PhD, directly apply to the PhD Program.

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