You do not need a background in data science to excel in our MSc in Data Science for Health (Conversion). Designed as a conversion course, this programme equips graduates from diverse fields with the technical and analytical skills needed to thrive in this rapidly growing sector. Data science is transforming healthcare—enabling early disease prediction through machine learning and enhancing medical imaging with AI for faster, more accurate diagnoses. Whether you are looking to pivot your career or enter the world of health data, this programme will prepare you to be a key player in the digital revolution of healthcare.
This MSc is designed as a conversion course, welcoming students from diverse academic and professional backgrounds. You do not need prior experience in data science—our supportive learning environment ensures that all students develop the statistical, technical computing skills and confidence needed to succeed.
Data science is transforming the healthcare sector, where vast amounts of health data has the potential to revolutionise healthcare interventions. With the rise of electronic health records, wearable technology, and AI-driven diagnostics, healthcare now generates more data than ever before. Effectively analysing this data allows for earlier disease detection, personalised treatment plans, and more efficient resource allocation. The programme blends core principles of computer science with advanced statistical analysis and data visualisation techniques, demonstrating how health data science can enhance our understanding of disease and healthcare.
Predictive analytics can help identify at-risk populations, while machine learning models assist in diagnosing conditions with greater accuracy. In today’s world, where crises such as geopolitical fragmentation, emerging zoonotic diseases, escalating conflicts, and widespread inequality are taking centre stage, data science plays a crucial role in public health by tracking disease outbreaks, guiding policy decisions, and improving global health interventions.
The MSc structure is highly flexible, allowing students to follow their personal interests and specialise in areas such as prediction modelling, artificial intelligence and machine learning, and personalised medicine. Throughout the programme, students benefit from expert guidance, hands-on learning, and a collaborative environment designed to help them thrive.
This MSc also has strong links to the Civic Health Innovation Labs (CHIL), an internationally recognised, multi- and trans-disciplinary research centre based at the University of Liverpool. CHIL brings together leading experts from academia, the NHS, local government, charities, and industry to develop responsible AI and innovative data solutions for health and society. Students have the opportunity to engage in research projects focused on healthcare data analytics, digital health solutions, public health informatics, and the application of technology in community health initiatives.
This course is also open for intercalators.
Please note, if you have a particular interest in undertaking research, we also have an MRes Data Science for Health, which provides more intensive research training, with a major independent research project at its core. This makes it ideal for those considering future PhD study, academic careers, or those wanting to specialise in a specific research topic.
This Masters programme is suitable for you if you hold a 2.2 degree from a UK University (or equivalent). Your first degree could be in any subject as this programme will train you in basic statistical and computing skills.
For overseas students an acceptable English Language qualification is required of IELTS 6.5 or equivalent with no individual band less than 6.0.
For Students who have previous experience or quantitative training (for example a first degree in computer science or mathematics), please see our MSc Data Science and Analytics for Health.
For Students who have a particular interest in undertaking research, we also have an MRes in Data Science for Health. This programme is designed for students who prefer more intensive research training, with a major independent research project at its core, making it ideal for those considering future PhD study, academic careers, or those wanting to specialise in a specific research topic.
Discover what you'll learn, what you'll study, and how you'll be taught and assessed.
| Compulsory modules | Credits |
|---|---|
| INTRODUCTION TO HEALTH DATA SCIENCE (DASC501) | 15 |
| STATISTICS FOR HEALTH RESEARCH (DASC502) | 15 |
| COMPUTER PROGRAMMING FOR HEALTH RESEARCH (DASC509) | 15 |
| Optional modules | Credits |
|---|---|
| USING ROUTINE DATA FOR PUBLIC HEALTH (DASC503) | 15 |
| AN INTRODUCTION TO QUALITATIVE RESEARCH (PUBH160) | 15 |
Programme details and modules listed are illustrative only and subject to change.
Programme details and modules listed are illustrative only and subject to change.
| Compulsory modules | Credits |
|---|---|
| DISSERTATION (DASC500) | 60 |
Programme details and modules listed are illustrative only and subject to change.
The learning and teaching strategy for the programme comprises a mixture of formal lectures, practical and tutorial sessions, discussion groups, student centred learning, and project work. Additional support is sought from online materials, selected textbooks and directed reading of research literature (taken from scientific journals and conference proceedings).Each module (except the dissertation) is worth 15 credits and thus totals approximately 150 hours, 25-50 of which are in taught sessions.
Semester 1
| Module | Assessment 1 | Assessment 2 |
| DASC501 | Written article appraisal
(1500 words, 70%) |
Plain language summary
(600 words, 30%) |
| DASC502 | Written data analysis
(1500 words, 70%) |
Poster presentation
(30%) |
| DASC503 | Written report
(1500 words, 70%) |
Poster + pre-recorded 5 mins oral presentation (30%) |
| DASC509 | Written data analysis
(1500 words, 50%) |
Written data analysis
(1000 words, 50%) |
Semester 2
| Module | Assessment 1 | Assessment 2 |
| DASC504 | Critical appraisal
(3500 words, 60%) |
Written statistical analysis plan
(1500 words, 40%) |
| DASC505 | Written report
(1500 words, 70%) |
Oral presentation (video)
(15 mins, 30%) |
| DASC506 | Written analysis plan
(1000 words, 50%) |
Written data analysis
(2500 words, 50%) |
| DASC507 | Written data analysis
(3000 words, 80%) |
Oral presentation
(15 mins, 20%) |
| DASC508 | Quality control assessment
(800 words, 25%) |
Written data analysis
(2500 words, 75%) |
| COMP575 | Written exam (100%) | |
| COMP527
|
Coursework (15%)
Coursework (15%) |
Written exam (70%) |
| COMP532
|
Coursework (15%)
Coursework (15%) |
Written exam (70%) |
We have a distinctive approach to education, the Liverpool Curriculum Framework, which focuses on research-connected teaching, active learning, and authentic assessment to ensure our students graduate as digitally fluent and confident global citizens.
The Liverpool Curriculum framework sets out our distinctive approach to education. Our teaching staff support our students to develop academic knowledge, skills, and understanding alongside our graduate attributes:
Our curriculum is characterised by the three Liverpool Hallmarks:
All this is underpinned by our core value of inclusivity and commitment to providing a curriculum that is accessible to all students.
Studying with us means you can tailor your degree to suit you. Here's what is available on this course.
You can study some of the modules on this course as standalone CPD (Continuing Professional Development) modules. Contact us using the buttons at the bottom of the course page to find out more.
Intercalation allows you take a break from your medical degree, usually after year 3 or 4, and study an additional qualification. Most intercalating students choose to study a master's degree. This gives you the opportunity to explore a subject of interest at an advanced level and acquire new skills and knowledge that will enhance and/or complement your medical degree.
Each day will involve a series of interesting, research focussed, lectures and practical sessions with time to digest content and prepare for later sessions and assessments.
From arrival to alumni, we’re with you all the way:
Want to find out more about student life?
Chat with our student ambassadors and ask any questions you have.
Graduates in Data Science are in high demand worldwide. Whether you aspire to work as a data scientist in the NHS, develop AI-driven healthcare solutions or contribute to groundbreaking medical research, this programme provides the tools to help you succeed.
With the demand for data scientists and data engineers at an all time high, it is envisaged there is a need for approximately 52,000 new data science jobs in the UK alone.
The Healthcare sector is the fast growing employment sector around the world. This programme opens up a multitude of career opportunities for professionals with strong quantitative skills to evaluate health care interventions and information systems. Graduates are perfectly placed to enter roles in hospitals, government agencies, pharmaceutical companies or health tech start ups driving innovation and improving patient outcomes worldwide.
Potential employers are involved in the delivery of the course and you will be able to attend careers events with representation from higher education institutions, the NHS, industry and government agencies. This will ensure you have a variety of opportunities to network and build useful contacts.
Whenever possible, your dissertation project will be linked with external partner organisations, connecting you to potential employment and career progression opportunities.
Graduates from the MSc in Data Science for Health are likely to enter a variety of careers opportunities. These include:
Our campus Career Studio is a space for students and graduates to drop into and talk to a career coach. Career coaches are highly trained to help no matter what stage you are at in your career planning. You can access support to find and apply for full-time and part-time roles, placements, internships and graduate schemes. You will also find the help you need if you have a start-up idea or want to create a business plan. You can explore the world of work, prepare for job interviews, and access careers events and workshops. The Career Studio is open Monday to Friday from 10am-5pm, simply drop in at a time that works for you.
We develop our programmes with employers in mind. You will be supported to enhance your long-term employment prospects as you learn. We do this by exposing you to professionals, a variety of sectors and supporting you to work collaboratively with others to develop transferable skills. You are equipped with a clearer view of what to focus on in your area of interest, and to reflect on your studies. Our digital employability tools give you a tech-enhanced curriculum experience and make it easy for you to prepare for the world of work. You can use tools like the Handshake platform to connect with employers and message the Career Studio 24/7.
You can start building good professional networks by attending events and employability activities. Our events are designed to develop your skills and expose you to many different employers, as well as to help you make contacts in your field. We help you improve your confidence when speaking to employers and give you access to unique opportunities. Our networking events also boost your understanding of the competencies and skills that employers are looking for in their recruitment process, giving you a competitive edge.
Your tuition fees, funding your studies, and other costs to consider.
Full-time place, per year - £12,500
Part-time place, per year - £6,250
Full-time place, per year - £29,100
Part-time place, per year - £14,550
Fees stated are for the 2025-26 academic year.
Tuition fees cover the cost of your teaching and assessment, operating facilities such as libraries, IT equipment, and access to academic and personal support.
You can pay your tuition fees in instalments.
All or part of your tuition fees can be funded by external sponsorship.
International applicants who accept an offer of a place will need to pay a tuition fee deposit.
If you're a UK national, or have settled status in the UK, you may be eligible to apply for a Postgraduate Loan worth up to £12,167 to help with course fees and living costs. Learn more about paying for your studies.
We understand that budgeting for your time at university is important, and we want to make sure you understand any course-related costs that are not covered by your tuition fee. This could include buying a laptop, books, or stationery.
Find out more about the additional study costs that may apply to this course.
We offer a range of scholarships and bursaries that could help pay your tuition and living expenses.
If you’re a University of Liverpool graduate starting this master’s degree with us, you could be eligible to receive a loyalty discount of up to £2,500 off your master’s tuition fees.
If you’re a UK student, either born in or with strong family connections to Merseyside, you could be eligible to apply for a fee discount of up to £4,500. You’ll need to demonstrate an active interest in global, community and environmental issues to be considered.
If you’re a UK University of Liverpool graduate joining a master’s degree with us, you could be eligible to receive £3,000 off your tuition fees. You must have graduated in the last two years and received a widening access scholarship during your undergraduate studies.
Apply to receive tailored training support to enhance your sporting performance. Our athlete support package includes a range of benefits, from bespoke strength and conditioning training to physiotherapy sessions and one-to-one nutritional advice.
The qualifications and exam results you'll need to apply for this course.
| Qualification | Details |
|---|---|
| Postgraduate entry requirements | This Masters programme is suitable for you if you hold a 2.2 degree from a UK University (or equivalent). Your first degree could be in any subject as this programme will train you in basic statistical and computing skills. If you have previous experience or quantitative training, for example, a first degree in computer science or mathematics, please see our MSc Data Science and Analytics for Health. |
| International qualifications |
Applicants with any academic background will be considered, as students will be trained on basic statistical and computing skills. As such, there is no minimum entry requirement for this programme, but an acceptable English language qualification (IELTS 6.5 or equivalent, with no band less than 6.0) is required to ensure students can access the programme material which is all delivered in English. |
You'll need to demonstrate competence in the use of English language, unless you’re from a majority English speaking country.
We accept a variety of international language tests and country-specific qualifications.
International applicants who do not meet the minimum required standard of English language can complete one of our Pre-Sessional English courses to achieve the required level.
| Qualification | Details |
|---|---|
| IELTS | 6.5 overall, with no component below 6.0 |
| Duolingo English Test | 125 overall, with writing not less than 125, speaking and reading not less than 115, and listening not below 110. For academic year 2025/26 only, we will also accept the production, literacy, comprehension and conversation score set: 120 overall, with no component below 105. |
Do you need to complete a Pre-sessional English course to meet the English language requirements for this course?
The length of Pre-sessional English course you’ll need to take depends on your current level of English language ability.
If you don’t meet our English language requirements, we can use your most recent IELTS score, or the equivalent score in selected other English language tests, to determine the length of Pre-sessional English course you require.
Use the table below to check the course length you're likely to require for your current English language ability and see whether the course is available on campus or online.
| Your most recent IELTS score | Pre-sessional English course length | On campus or online |
|---|---|---|
| 6.0 overall, with no component below 6.0 | 6 weeks | On campus |
| 6.0 overall, with no component below 5.5 | 10 weeks | On campus and online options available |
| 6.0 overall, with no more than one component below 5.5, and no component below 5.0 | 12 weeks | On campus and online options available |
| 5.5 overall, with no more than one component below 5.5, and no component below 5.0 | 20 weeks | On campus |
| 5.0 overall, with no more than one component below 5.0, and no component below 4.5 | 30 weeks | On campus |
| 4.5 overall, with no more than one component below 4.5, and no component below 4.0 | 40 weeks | On campus |
If you’ve completed an alternative English language test to IELTS, we may be able to use this to assess your English language ability and determine the Pre-sessional English course length you require.
Please see our guide to Pre-sessional English entry requirements for IELTS 6.5 overall, with no component below 6.0, for further details.
Discover more about the city and University.
Liverpool bursts with diversity and creativity which makes it ideal for you to undertake your postgraduate studies and access various opportunities for you and your family.
To fully immerse yourself in the university experience living in halls will keep you close to campus where you can always meet new people. Find your home away from home.
Discover what expenses are covered by the cost of your tuition fees and other finance-related information you may need regarding your studies at Liverpool.
Have a question about this course or studying with us? Our dedicated enquiries team can help.
Last updated 29 April 2025 / / Programme terms and conditions