| Program start date | Application deadline |
| 2026-09-01 | - |
Program Overview
About this course
The MRes in Data Science for Health is a postgraduate program designed to equip students with advanced research skills in the interdisciplinary area of data science and health. The program aims to prepare students to drive innovation in healthcare through the analysis of complex health data.
Introduction
This MRes program is currently undergoing revalidation as part of the University of Liverpool's Curriculum 2027 review and may be subject to changes. The program provides a unique opportunity to develop specialist skills in machine learning, predictive analytics, and data visualization while conducting an extended research project that tackles real-world healthcare challenges.
Course Content
The program is split into a 120-credit research project and 60 credits of specialized taught modules. Students can choose a project that appeals to their interests and work alongside internationally recognized scientists, gaining hands-on experience in state-of-the-art techniques.
Modules
- Semester One:
- Compulsory modules:
- DATA SCIENCE FOR HEALTH RESEARCH PROJECT 1 (DASC510) - 30 credits
- Optional modules:
- INTRODUCTION TO HEALTH DATA SCIENCE (DASC501) - 15 credits
- STATISTICS FOR HEALTH RESEARCH (DASC502) - 15 credits
- USING ROUTINE DATA FOR PUBLIC HEALTH (DASC503) - 15 credits
- COMPUTER PROGRAMMING FOR HEALTH RESEARCH (DASC509) - 15 credits
- AN INTRODUCTION TO QUALITATIVE RESEARCH (PUBH160) - 15 credits
- PRACTICAL RESEARCH SKILLS (PSYC644) - 30 credits
- Compulsory modules:
- Semester Two:
- Compulsory modules:
- DATA SCIENCE FOR HEALTH RESEARCH PROJECT 2 (DASC511) - 90 credits
- Optional modules:
- EVALUATION OF HEALTHCARE INTERVENTIONS (DASC504) - 15 credits
- ACTIONABLE HEALTHCARE DATA ANALYTICS (DASC505) - 15 credits
- PREDICTION MODELLING & JOINT LONGITUDINAL AND SURVIVAL DATA ANALYSIS (DASC506) - 15 credits
- HIGH-DIMENSIONAL DATA STRUCTURES AND LEARNING ALGORITHMS (DASC507) - 15 credits
- STATISTICAL GENETICS AND PHARMACOGENOMICS (DASC508) - 15 credits
- ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING FOR HEALTH (DASC512) - 15 credits
- Compulsory modules:
Your Experience
Each day will involve a series of interesting, research-focused lectures and practical sessions, with time to digest content and prepare for later sessions and assessments. Students will also spend time in supervisory meetings and working independently on their research projects.
Careers and Employability
Graduates in Data Science are in high demand worldwide. This program provides the tools to help students succeed in careers such as data scientists in the NHS, developers of AI-driven healthcare solutions, or contributors to groundbreaking medical research.
Career Support
The University of Liverpool offers career support from day one to graduation and beyond, including career planning, networking events, and employability programs.
Fees and Funding
- Tuition Fees:
- UK fees (applies to Channel Islands, Isle of Man, and Republic of Ireland):
- Full-time place, per year: ｣5,238
- Part-time place, per year: ｣2,619
- International fees:
- Full-time place, per year: ｣32,200
- Part-time place, per year: ｣16,100
- UK fees (applies to Channel Islands, Isle of Man, and Republic of Ireland):
- Scholarships and Bursaries:
- The University of Liverpool offers a range of scholarships and bursaries to help pay tuition and living expenses.
Entry Requirements
- Postgraduate Entry Requirements:
- This Masters program is suitable for students who hold a 2.2 degree from a UK University (or equivalent).
- The first degree can be in any subject, as this program will train students in basic statistical and computing skills.
- For overseas students, an acceptable English Language qualification is required, with IELTS 6.5 or equivalent, and no individual band less than 6.0.
English Language Requirements
Students must demonstrate competence in the use of English language, unless they are from a majority English-speaking country. The University accepts a variety of international language tests and country-specific qualifications.
Pre-sessional English
International applicants who do not meet the minimum required standard of English language can complete one of the University's Pre-sessional English courses to achieve the required level. The length of the Pre-sessional English course depends on the student's current level of English language ability.