Build confidence in statistics, programming and responsible AI for healthcare innovation. Our MSc Data Science & AI for Health Innovation (Conversion) is designed for students from a wide range of academic and professional backgrounds who want to transition into the rapidly growing field of health data science and artificial intelligence. This programme provides a supportive introduction to statistics, programming, machine learning and health data analysis, helping you develop both technical expertise and confidence in applying data science approaches to real-world healthcare challenges.
Please note, this programme is currently undergoing revalidation as part of our Curriculum 2027 review and may be subject to changes.
Healthcare is increasingly shaped by data science, artificial intelligence and digital technologies. From electronic health records and wearable devices to AI-assisted diagnostics and public health monitoring, healthcare systems now generate vast amounts of data with enormous potential to improve patient care and health outcomes.
As the use of healthcare data and AI continues to expand, there is growing demand for professionals who can analyse, interpret and communicate complex information responsibly and effectively.
This programme is specifically designed for students who may not have previous quantitative training but are motivated to develop expertise in health data science and artificial intelligence. Through a supportive and carefully structured learning experience, students progressively build confidence in statistics, coding, computational methods and data analysis.
The programme combines core foundations in statistics, programming and health data science with opportunities to explore specialist areas including machine learning, artificial intelligence, prediction modelling and healthcare evaluation.
Designed around flexibility and student support, the programme allows students to tailor their studies around their own interests and future career ambitions 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.
Graduates from the programme are well placed for careers across healthcare, digital health, public health, research and healthcare innovation, with opportunities continuing to grow rapidly both within the UK and internationally.
Build confidence in a supportive learning environment
This programme is designed specifically for students transitioning into health data science from a wide range of backgrounds. Teaching is carefully structured to help students progressively develop confidence in statistics, programming and analytical thinking.
You will learn within a welcoming and collaborative academic environment where curiosity, professional development and student support are actively encouraged.
Tailor your learning to your ambitions
As your confidence and experience develop, optional modules allow you to explore areas aligned with your own interests and career ambitions, including applied statistics, machine learning, healthcare evaluation and artificial intelligence.
This flexibility helps students develop distinctive profiles suited to careers across healthcare, industry and research.
Learn from experts who care
You will study alongside 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 students connect learning to real-world healthcare challenges and innovation.
This programme is designed for students who are interested in health data science and artificial intelligence but do not have previous quantitative or technical training.
Applicants may come from a wide range of backgrounds including:
The programme is ideal for applicants looking to:
No prior experience in programming or advanced statistics is required.
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 this programme will train you in basic statistical and computing skills.
Our postgraduate Health Data Science portfolio also includes specialist pathways tailored to different backgrounds and career ambitions.
Applicants with previous quantitative training may be interested in the MSc Data Science & AI for Health Innovation, which provides a more advanced pathway for students wishing to further develop expertise in statistics, machine learning, artificial intelligence and healthcare analytics.
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 accessible foundations in health data science with opportunities to explore specialist areas 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.
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.
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:
I didn’t come from a statistical background at all, so I was honestly quite nervous at the start. But it’s been much more supportive than I expected. Everything builds gradually, especially with coding and stats, so you’re not just thrown in at the deep end. The staff are really patient and you can always ask questions without feeling silly, which made a huge difference for me.
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 (Conversion) develop the statistical, computational and analytical skills needed to move into one of the fastest-growing and most in-demand areas 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 significantly in recent years, creating exciting opportunities across a wide range of sectors.
This programme prepares graduates for careers including:
Graduates may go on to work within hospitals, government agencies, research organisations, pharmaceutical companies, healthcare technology companies and innovation-focused startups, contributing to evidence-based healthcare improvement and responsible AI innovation.
Alongside technical development, the programme also builds highly valued transferable skills in communication, critical thinking, problem-solving and interdisciplinary collaboration, enabling graduates to thrive in complex real-world environments and multidisciplinary teams.
The programme also provides excellent preparation for further postgraduate study, including doctoral research 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 inclusive 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
Full-time place, per year - £32,000
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.
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 | 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 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. If you have previous experience or quantitative training (for example a first degree in computer science or mathematics), please see our MSc Data Science & AI for Health Innovation MSc. For students who have a particular interest in undertaking research, we also have our 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 |
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 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