The MPhil in Mathematical Genomics and Medicine at the University of Cambridge is an advanced postgraduate programme designed to equip students with a comprehensive understanding of the application of mathematical and computational techniques to biological and medical challenges. This interdisciplinary course combines rigorous training in quantitative methods with practical insights into contemporary problems in genomics, molecular biology, and medicine. Throughout the programme, students explore a diverse range of topics, including statistical genetics, bioinformatics, mathematical modeling of biological systems, and the use of data-driven approaches in personalized medicine. The course is tailored for individuals with a strong quantitative background who are seeking to apply their skills to advancing our understanding of complex biological phenomena and improving healthcare outcomes.

The programme is structured to foster both theoretical knowledge and practical skills. Students undertake core modules that cover fundamental concepts in genomics, computational biology, and applied mathematics. These are complemented by options allowing students to specialise in areas such as machine learning for biomedical data, genomic data analysis, or mathematical modeling in biology. Practical training is integral, with students engaging in research projects, software development, and data analysis exercises that prepare them for careers in academia, biotechnology, healthcare, or data science.

Lectures, seminars, and tutorials are led by world-renowned experts from the University of Cambridge and collaborating institutions, ensuring exposure to cutting-edge research and innovations. The programme also encourages interdisciplinary collaboration, enabling students to work alongside researchers in biology, medicine, and computer science. By the end of the course, students are expected to have developed a comprehensive skill set in quantitative techniques, data management, statistical inference, and scientific communication.

Graduates of the MPhil in Mathematical Genomics and Medicine are well-equipped for diverse career paths, including academic research, roles in the pharmaceutical and biotechnology sectors, healthcare analytics, and further postgraduate study. The programme’s rigorous academic environment, combined with its emphasis on practical application and interdisciplinary approaches, prepares students to contribute meaningfully to the rapidly evolving fields of genomics and precision medicine.

In the first (MRes) year students take courses from across the science schools of the University to complement their existing capabilities.  To identify the needs and interests of individual students, each student will meet with the course directors in order to decide an appropriate set of modules to take. Students must undertake and be assessed in at least three modules in each of the first two terms (i.e. a total of six modules).

There are two laboratory based rotations that involve a well-defined research project, each lasting eight weeks.  Supervisors nominate projects by providing a one-page outline and background reading, before the end of the first term.  Students arrange to discuss projects of interest with the supervisors and are allowed to nominate four ranked choices of project.  Likewise, supervisors rank applicants and the Management Committee match students with supervisors.

Feedback

The University of Cambridge Publishes an annual Code of Practice which sets out the University's expectations regarding supervision.

Assessment

Thesis

The PhD element of the course is examined by thesis and oral examination only.

Once students have started their research projects they will be supervised throughout and progress reports submitted termly to the degree committee by their supervisor.   The way progress is assessed varies slightly from department to department but departmental administrators can guide in this.

Toward the end of the 2nd year of the PhD students will be asked to submit and discuss a plan for the 3rd and final 'writing up' year - outlining a timetable of remaining research activities and a skeleton outline of their thesis.

By the middle of the 3nd year of the PhD, the majority of the research work should be complete and the drafting of several chapters of the thesis should be well underway.

Essays

Assessment of the MRes year is based on the following:

1. Students must undertake at least three courses in each of the first two terms. Each is assessed by submission of a written summary report of no more than 1000 words in total, exclusive of tables, footnotes, bibliography, and appendices. These are assessed termly by one of the MGM Directors who will also hold a 1:1 meeting with the student to confirm progress.
2. Students must undertake two laboratory rotations in the year. Each is assessed by submission of a written report of no more than 6000 words in total, exclusive of tables, footnotes, bibliography, and appendices, and an oral presentation by the student. The students will be evaluated on a scale of 1 to 5 on each of the following criteria: originality, effort, progress, learning, technical and critical skills, background knowledge and the quality of the presentation. An evaluation template form will provide prompts for these points. An average of 3.5 is required to pass. Assessment is carried out by the rotation placement leader and one of the MGM Directors.
3. Students must attend, and participate in, the Wednesday meetings held in DAMTP.
4. Students are expected to attend the Research Retreat and the CCBI Symposium.

A logbook is used to record, inter alia, items relevant to 1 – 4.

To obtain an MRes, a student must satisfy the Examiners that s/he has met requirements 1 – 4.

The examination may include, at the discretion of the Examiners, an oral examination on the work submitted by the candidate and on the general field of knowledge within which such work falls.

Other

Students who progress successfully from the MRes to the PhD a the end of year one will be registered as a probationary (NOTAF) PhD Student. Towards the end of the second year students will be evaluated by their host  departments.  Different departments carry out this assessment in different  ways but typically students write a "1st year report" of around 20-40 pages/4000-8000 words, which is read and an oral examination carried out by  their Departmental advisor and another member of the Phd Programme supervisor  pool who is not one of their direct supervisors.  The outcome of this  evaluation will be a recommendation to the appropriate Degree Committee that  the student be registered, or not, as a PhD student.

• Magistr (Master's Degree) at Pass level. Diploma Specialista (completed post-1991) with a minimum overall grade of good or 4/5 Bachelor's from Moscow Institute of Physics and Technology and other prestigious institutions with an overall grade of 4/5 Bologna Bachelor's from other institutions with an overall grade of 5/5, Excellent
• Diploma Specialista (completed post-1991) with a minimum overall grade of Excellent or 5/5 Bachelor's from Moscow Institute of Physics and Technology and other prestigious institutions with an overall grade of 5/5
• IELTS (Academic) 7.0
• TOEFL Internet Score 100
• £50 application fee
• First Academic Reference
• Second Academic Reference
• Transcript
• CV/Resumé
• Personal Reference

Apply using the Applicant Portal

The Apply Online button on the right will take you to the Applicant Portal, where you can create and submit your application, and request references.

An application is only complete when:

1. you have submitted your application via the Applicant Portal and paid the £50 application fee
2. you have uploaded the required supporting documents via the Applicant Self-Service
3. your referees have provided their references.

If you miss the deadlines specified in this section, you will not be able to submit your application.

There are two stages in the application process. First, send a CV and a one page statement of scientific interest (details as below). If you are invited to proceed further then you will need to make a full application to the University of Cambridge.

Send a single pdf document named (your) LASTNAME_FIRSTNAME.pdf to wt-phd@damtp.cam.ac.uk by 04 December.

Document specification:

• Not more than 2 pages in A4 format
• Font: Arial
• Point size: not less than 11pt
• Margins: minimum 2cm all round

Document contents:

Page 1:

CV with the following elements in this order:

a) Full name; Contact email; Contact phone number; Nationality; Date of birth

b) Work and education in reverse chronological order; Any other information

c) Name, affiliation and email address of 2 referees.

Page 2:

d) One-page statement on a scientific area that excites you.

The second stage is to apply to the University of Cambridge through CamSiS.  Successful stage 1 applicants will be advised of this.

Selection Process

Applications are considered as part of a gathered field with decisions being made early in the calendar year, typically at the end of January/early February.

The Mathematical Genomics and Medicine program at the University of Cambridge offers a variety of funding options to support students throughout their studies. Tuition fees for domestic and international students vary and are announced annually on the university’s official website. Students are encouraged to explore scholarships, bursaries, and grants specifically available for graduate students in the field of biomedical sciences. The university provides several competitive scholarships, such as the Cambridge Trust Scholarships, which are available to both UK and international students and can significantly cover tuition fees and living expenses. Additionally, the university’s funding database is a comprehensive resource for identifying potential sources of financial support tailored to individual circumstances.

Students are also advised to look into external funding opportunities from governmental agencies, research councils, and private foundations. In particular, the Wellcome Trust and other biomedical research organizations offer fellowships and grants for students pursuing advanced degrees in medical sciences and genomics. The university may also facilitate access to part-time work opportunities within its various departments, providing students with additional financial support while gaining valuable research and professional experience.

For students undertaking the program on a research-intensive basis, there are often stipends available to support living costs, especially for students involved in funded research projects. Prospective students should consult the university’s official admissions and funding webpages for the latest detailed information and deadlines regarding available scholarships and financial support. The university’s dedicated postgraduate funding team provides personalized advice to help applicants identify suitable funding sources and complete necessary application procedures. It is advisable for students to begin exploring funding options early, ideally before beginning their application process, to ensure they meet all requirements and deadlines. Overall, the financing landscape for Mathematical Genomics and Medicine students at the University of Cambridge is diverse, with numerous opportunities designed to make advanced education accessible for talented students from all backgrounds.

The Mathematical Genomics and Medicine program at the University of Cambridge offers students an interdisciplinary curriculum that combines advanced mathematical techniques with cutting-edge biomedical research. This program is designed to equip students with the analytical skills necessary to interpret complex biological data and to address critical challenges in medicine and genomics. The course integrates elements of mathematics, statistics, computational biology, and medical sciences, reflecting the university’s commitment to fostering expertise at the intersection of quantitative analysis and life sciences. Students typically engage in lectures, seminars, and practical laboratory work, enabling them to develop proficiency in data analysis, modeling, and experimental design relevant to genomics and medical research. The program benefits from the university’s state-of-the-art facilities and collaborations with biomedical research centers, providing a rich environment for innovation and discovery. Graduates of this program are prepared to pursue careers in academia, biomedical research, biotech industries, healthcare technology, or further postgraduate studies. The curriculum emphasizes not only technical skills but also ethical considerations and the societal impact of genomic medicine. Throughout the course, students are encouraged to participate in research projects, fostering an applied understanding of how mathematical frameworks can solve real-world problems in genomics and medicine. The program aims to produce graduates who are capable of contributing to advances in personalized medicine, disease modeling, and public health strategies through sophisticated mathematical and computational methods. Entry requirements typically include a strong background in mathematics, computing, biology, or related fields, and prospective students are advised to demonstrate their aptitude for interdisciplinary research. Overall, the Mathematical Genomics and Medicine program exemplifies Cambridge’s approach to innovative, research-led education that bridges fundamental science and practical application for future leaders in the biomedical sector.