In today’s healthcare landscape, data isn’t just a tool, it’s a lifeline. From improving patient outcomes to shaping national policy, the ability to interpret and act on complex datasets is now central to how healthcare works. For professionals across the NHS, biotech, and research sectors, data skills are no longer optional, they’re essential.
The MSt in Healthcare Data Science at University of Cambridge Professional and Continuing Education (PACE) is designed to meet this demand. Delivered part-time and tailored for working professionals, this postgraduate healthcare data course equips you with the analytical, technical, and strategic capabilities to lead data-driven change in healthcare.
Why data science matters in modern healthcare
Healthcare is undergoing a digital transformation. Electronic health records, genomic sequencing, wearable tech, and AI-powered diagnostics are generating vast amounts of data. But data alone doesn’t drive progress, people do.
Healthcare data science helps professionals turn raw information into actionable insights. Whether it’s identifying trends in patient outcomes, evaluating the impact of policy decisions, or developing predictive models using AI and healthcare analytics, these skills are shaping the future of medicine.
In the UK and globally, there’s a growing need for professionals who can bridge the gap between clinical expertise and data fluency. Deloitte has noted that health systems worldwide are prioritising digital transformations, with 70% of executives investing in data platforms. Most recently, the UK government announced a record £10 billion investment to digitise the NHS, modernising technology, creating a single patient record, and expanding the NHS App as a digital front door.
Skills you will develop on the MSt in Healthcare Data Science
This healthcare data science course is built to give you practical, high-impact skills. You will gain:
- Data analysis and statistical modelling tailored to healthcare contexts
- Coding and computational tools including Python and R
- Expertise in interpreting healthcare datasets, from clinical trials to population health
- Understanding of AI and machine learning applications in healthcare
- Ethical and regulatory frameworks for working with sensitive health data
The curriculum is designed to be rigorous yet relevant, with real-world case studies and collaborative projects that reflect the challenges professionals face today.
Learning with PACE
As a part-time healthcare data science course, the MSt is structured to fit around your professional commitments. You’ll study through a blend of in-person teaching blocks in Cambridge and online, giving you flexibility without compromising on academic depth.
You’ll be taught by leading researchers and practitioners in healthcare data science, and you’ll join a diverse cohort of professionals from across the sector. The result is a rich learning environment where theory meets practice and where you’re supported to grow.
Watch this bitesize lecture from Dr Fatemeh Torabi, Academic Director for the MSt in Healthcare Data Science, as she teaches about premature optimisation, a topic highly relevant to healthcare data science projects.
Who the course is for?
This programme is ideal for professionals who are already working in healthcare or adjacent fields and want to deepen their data expertise. You might be:
- A clinician or NHS staff member looking to improve patient care through data
- A biotech or pharma professional working with clinical datasets
- A researcher or academic exploring healthcare analytics
- A policy professional shaping data-driven healthcare strategy
If you have a background in healthcare and are ready to lead with data, this course is for you.
Career outcomes
Graduates of the MSt in Healthcare Data Science have gone on to shape the future of healthcare in roles such as:
- Clinical data scientist
- Health informatics lead
- AI and analytics consultant
- Research fellow in healthcare data
- Policy advisor in digital health
You’ll be equipped to work across sectors, from NHS trusts and government bodies to biotech firms and global health organisations.
How to apply
The MSt is a postgraduate healthcare data programme with a competitive admissions process. Applicants should have:
- A relevant undergraduate degree
- Professional experience in healthcare, life sciences, or data-related fields
- A strong interest in applying data science to healthcare challenges
You can find out more about applying for an MSt in this video.
Explore the MSt in Healthcare Data Science for entry requirements, teaching structure, and upcoming deadlines. Applications for 2026 are now open. Apply by 28 May 2026 to secure your place and contribute to the future of healthcare.
Explore related programmes
Interested in medical and health sciences? We offer a range of courses in this field, from genomic medicine, to medical education. Our medical and health science courses combine a rigorous approach with accessible delivery. You’ll develop your academic experience, and get closer to meeting your goals in healthcare or health professions education.
Explore medical and health sciences at Professional and Continuing Education here.
Take the lead in healthcare innovation
Healthcare needs professionals who can turn data into insight, and insight into impact. If you’re ready to take that step, PACE is ready to support you.
Take the lead in healthcare innovation. Find out more and apply for the MSt in Healthcare Data Science at Cambridge. Applications for 2026 are now open.