Advance your expertise in statistics, machine learning and responsible AI for healthcare innovation. Our MSc Data Science & AI for Health Innovation prepares you to tackle real-world healthcare challenges using advanced statistical methods, machine learning and artificial intelligence.
Please note, this programme is currently undergoing revalidation as part of our Curriculum 2027 review and may be subject to changes.
Healthcare is being transformed by data science, artificial intelligence and digital technologies. From electronic health records and wearable devices to AI-driven diagnostics and public health surveillance, healthcare systems now generate vast amounts of data with enormous potential to improve patient care and health outcomes.
The ability to analyse and interpret this data is becoming increasingly important across healthcare, industry and research. Predictive analytics can help identify at-risk populations, machine learning models can support earlier and more accurate diagnosis, and data-driven approaches are shaping everything from personalised treatment strategies to global public health interventions.
This programme combines advanced statistical analysis, machine learning, artificial intelligence and computational methods to explore how health data science can drive meaningful healthcare innovation.
Designed around flexibility and student choice, the programme allows you to tailor your studies around your own interests and career ambitions. Students can specialise in areas such as prediction modelling, artificial intelligence, machine learning, casual inference and healthcare evaluation while developing highly valued analytical, computational and professional skills.
The programme also has strong links with the Civic Health Innovation Labs (CHIL), an internationally recognised multidisciplinary research centre based at the University of Liverpool. CHIL brings together experts from academia, the NHS, local government, charities and industry to develop responsible approaches to data use and AI for health and society.
Students have opportunities to engage with dissertation projects linked to areas such as healthcare data analytics, digital health, public health informatics and community health innovation, contributing to cutting-edge research with real-world impact.
Graduates from the programme are well placed for careers across healthcare, industry and academia. Demand for professionals with expertise in data science and AI continues to grow rapidly both within the UK and internationally, creating exciting opportunities across healthcare analytics, digital health, research and innovation.
Tailor your learning to your ambitions
One of the strengths of the programme is its flexibility. Optional module pathways allow you to shape your studies around your own interests, whether focused on applied statistics, prediction modelling, machine learning, artificial intelligence or causal inference.
This flexibility helps students develop distinctive skill sets aligned with their future career or research goals.
Grow personally and professionally
Alongside advanced technical training, you will develop highly valued transferable skills in communication, consultancy, coding and critical thinking.
The programme is designed not only to build analytical expertise, but also to prepare students to work confidently across interdisciplinary healthcare, research and industry environments.
Learn from experts who care
You will study within a welcoming and collaborative academic community supported by approachable staff with expertise across statistics, health data science, artificial intelligence and healthcare research.
Teaching is enriched by guest lecturers and research collaborations connected to organisations including the NHS, industry and the Civic Health Innovation Labs (CHIL), helping connect your learning to current real-world challenges and innovation.
This programme is designed for students with prior quantitative experience who wish to develop advanced expertise in health data science and artificial intelligence.
Applicants may come from backgrounds including:
The programme is also suitable for professionals seeking to strengthen their analytical and computational skills for careers in healthcare, research and innovation.
Specifically, this master’s 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 long as you are able to evidence previous experience of quantitative skills (for example, at least one module in your degree in statistics, computer science or mathematics).
This programme is also open to intercalating students on clinical programmes.
Our postgraduate Health Data Science portfolio also includes specialist pathways tailored to different backgrounds and career ambitions.
Applicants without previous quantitative training may be interested in the MSc Data Science & AI for Health Innovation (Conversion), which provides a supportive route into health data science and artificial intelligence for students from a wide range of backgrounds.
For applicants seeking a more research-intensive experience, the MRes Data Science & AI for Health Innovation combines advanced methodological training with a substantial independent research project, making it excellent preparation for PhD study and research-focused careers.
The curriculum combines core foundations in health data science with flexible specialist pathways in statistics, machine learning and artificial intelligence.
Students develop expertise in:
Discover what you'll learn, what you'll study, and how you'll be taught and assessed.
Please note, work towards the Dissertation module runs across the length of the programme. The dissertation itself is completed in semester three.
| Optional modules | Credits |
|---|---|
| STATISTICS AND AI FOR HEALTH INNOVATION RESEARCH (DASC502) | 15 |
| USING ROUTINE DATA FOR PUBLIC HEALTH (DASC503) | 15 |
| EVIDENCE SYNTHESIS FOR EVIDENCE BASED PRACTICE (DASC515) | 15 |
Programme details and modules listed are illustrative only and subject to change.
Please note, work towards the dissertation module runs across the length of the programme. The dissertation itself is completed in semester three.
Programme details and modules listed are illustrative only and subject to change.
Please note, work towards the Dissertation module runs across the length of the programme. The dissertation itself is completed in semester three.
| Compulsory modules | Credits |
|---|---|
| DISSERTATION (DASC500) | 60 |
Programme details and modules listed are illustrative only and subject to change.
Each 15-credit module involves around 150 hours of study.
You can expect to spend 2-3 hours a week per module in taught study and 3-5 hours a week per module in self-managed independent study. The programme has a blended format with a mix of face-to-face lectures, workshops and practical sessions.
Full-time students will complete the programme in three semesters and part-time students will complete the programme in six semesters.
You’ll be assessed through a variety of written reports, software practical exercises and critical appraisals. You’ll also be asked to present your work in a variety of formats, from oral presentations to a conference poster. All modules have active learning embedded within them.
At Liverpool, we take a distinctive approach to education through the Liverpool Learning Framework. This means teaching that is engaging, inclusive and designed to help you succeed during your studies and beyond.
You’ll develop specialist subject knowledge alongside the skills employers value most, including:
Our curriculum is characterised by the three Liverpool Hallmarks:
We also embed key priorities across our curriculum, including AI literacy, employability, and sustainability, helping you prepare for the future and make a positive impact in the world.
We’re committed to creating a supportive and inclusive learning environment where every student can thrive.
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 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 degree.
If you enrol on a master’s degree and complete 60 credits you may be able to exit the programme early and earn a Postgraduate Certificate (PGCert) for the work you have completed. This usually amounts to one semester when completed full-time.
If you enrol on a master’s degree and have completed 120 credits you may be able to exit the programme early and earn a Postgraduate Diploma (PGDip) for the work completed. This usually amounts to two full semesters when completed full-time, without having to complete the final dissertation module.
The Institute of Population Health draws on over 100 years of teaching delivered by dedicated staff with real-world, practical experience. We are a hub for an extensive network of professionals, academics and researchers, and you can be confident that a degree from us will prepare you for a lifelong career in healthcare services.
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.
From arrival to alumni, we’re with you all the way:
What I enjoyed the most was conducting a genome-wide study on real-life data from the UK Biobank, which I undertook as part of my dissertation. It was great to work with academics in and across departments on this project, learn valuable research skills and work on developing the research idea into a full publication.
Want to find out more about student life?
Chat with our student ambassadors and ask any questions you have.
Graduates from the MSc Data Science & AI for Health Innovation are equipped with the advanced statistical, computational and analytical skills increasingly sought after across healthcare, industry and research.
Healthcare is one of the fastest-growing sectors globally, with rapidly increasing demand for professionals who can apply data science, machine learning and artificial intelligence to improve healthcare services, patient outcomes and public health decision-making. In the UK alone, demand for data scientists and data engineers has risen dramatically in recent years, creating exciting opportunities across a wide range of sectors.
This programme prepares graduates for careers including:
Graduates may work within hospitals, government agencies, research organisations, pharmaceutical companies, healthcare technology companies and innovation-focused startups, helping drive evidence-based healthcare improvement and responsible AI innovation.
Alongside technical expertise, the programme develops highly valued transferable skills in communication, critical thinking, problem-solving and interdisciplinary collaboration, helping graduates thrive in complex real-world environments.
The programme also provides excellent preparation for doctoral study and research careers in health data science, statistics and artificial intelligence.
The demand for professionals with expertise in health data science and responsible AI continues to grow rapidly across healthcare, industry and academia.
At the University of Liverpool, you will develop the skills, confidence and experience needed to contribute to the future of healthcare innovation within a supportive and forward-looking academic community.
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 - £14,000
Part-time place, per year - £7,000
Full-time place, per year - £32,000
Part-time place, per year - £16,000
Tuition fees are for the academic year 2026/27.
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 £12,858 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. You can find information on the general and subject-specific costs you could expect to incur on our study costs webpage.
We offer a range of scholarships and bursaries that could help pay your tuition and living expenses.
Are you a UK or Republic of Ireland student who completed your undergraduate degree at the University of Liverpool? You could receive a £1,500 tuition fee discount, subject to the full eligibility criteria. This scholarship will be awarded to all eligible students.
If you've graduated with an undergraduate degree in Chemistry, and you've accepted a place on a master's course, you could be entitled to a £10,000 contribution towards your tuition fees. Please note your master's can be in a range of subject areas, and is not restricted to Chemistry. This award is available to one student per academic year who's considered to be from a widening participation background.
The scholarship will be open to two UK students in the 2026/27 academic year and is worth £5,000. Students must be studying a postgraduate course at the University of Liverpool. Those on data science or coding courses may be given priority.
Joining our Health Data Science MSc? If you’re a UK student, you could be eligible to apply for £10,000 of funding and the opportunity to conduct a research project with one of HDRUK’s partner organisations. Partners include Diabetes UK and Alzheimer's Research UK.
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.
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 | We accept a 2:2 honours degree from a UK university, or an equivalent academic qualification from a similar non-UK institution. Applicants can hold a degree in any subject area but should be able to demonstrate evidence of previous experience of quantitative analysis in statistics and/or computer science (for example, as part of an undergraduate module or relevant work experience). This programme is also open to intercalating students on clinical programmes. 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 do not hold a first degree in a relevant subject area, please see our MSc Data Science & AI for Health Innovation (Conversion). This programme is specifically designed for students wishing to move into the field of data science, irrespective of their background and previous training. For students who have a particular interest in undertaking research, we also have an MRes Data Science & AI for Health Innovation. 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. |
| International qualifications |
Many countries have a different education system to that of the UK, meaning your qualifications may not meet our entry requirements. Completing your Foundation Certificate, such as that offered by the University of Liverpool International College, means you're guaranteed a place on your chosen course. |
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 |
| TOEFL iBT | If you took a TOEFL test on or before 20 January 2026, you’ll need 88 overall, with minimum scores of listening 19, writing 19, reading 19 and speaking 20. If you took a TOEFL test from 21 January 2026 onwards, when a new scoring system was introduced, you’ll need 4.5 overall, with 4 or above in all components. TOEFL Home Edition not accepted. |
| 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. |
| Pearson PTE Academic | 61 overall, with no component below 59 |
| LanguageCert Academic | 70 overall, with no skill below 65 |
| PSI Skills for English | B2 Pass with Merit in all bands |
| INDIA Standard XII | National Curriculum (CBSE/ISC) - 75% and above in English. Accepted State Boards - 80% and above in English. |
| WAEC | C6 or above |
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 writing at 6.0 and no component below 5.5 | 6 weeks | On campus or online |
| 5.5 overall, with writing at 5.5 and no component below 5.0 | 10 weeks | On campus or online |
| 5.5 overall, with no more than one component at 5.0 | 12 weeks | Online |
| 5.5 overall, with no component below 5.0 | 20 weeks | On campus |
| 5.0 overall, with no more than one component at 4.5 | 30 weeks | On campus |
| 4.5 overall, with no more than one component at 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 22 May 2026 / / Programme terms and conditions