Data Science for Health

Entry requirements

You should have an upper second-class (2.1) undergraduate honours degree or above.

Your qualification should be in physics, engineering, science, computing, mathematics or life sciences. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.

Register for our upcoming webinar: Study a Masters in Data Science or AI: Courses and Careers.

Join course lecturers Dr Omar Lakkis, Dr Maxine Sherman and Dr Ivor Simpson to discover our range of Data Science and AI Masters courses at Sussex.

Webinar date & time: 21st May 2026 at 12pm BST. Learn more >

Months of entry

September

Course content

Build data-driven skills to join the evolving field of data science. Meet the growing demand for health analytic experts to address health challenges.

Why choose this course at Sussex?

The field of health data science is evolving, from AI-assisted diagnosis to large-scale epidemiological modelling. At Sussex, you’ll develop your analytical, computational and problem-solving skills so you can address pressing challenges in public health.

The NHS and global health organisations face rising demand for expertise in health analytics. They rely on data-driven decision-making. On this MSc you’ll learn:

• the core principles of data science and machine learning methods with applications to health
• about clinical research, epidemiology and health systems
• about managing, analysing and interpreting health data, including electronic health records and clinical imaging
• to translate data into actionable insights for healthcare professionals and policymakers
• to use data to help improve patient care, optimise services and manage public health risks.
• This innovative course is for you if you want to specialise in data science for clinical and health applications. 

Sussex has a strong tradition in interdisciplinary research. Our Departments of Mathematics, Life Sciences and Informatics and the Brighton and Sussex Medical School have been at the forefront of innovative research in statistical modelling.

We’ll connect you with our NHS and public health partners through guest lectures, case studies and project opportunities. You’ll also receive guidance on employment pathways, networking and skills development.

You’ll graduate ready for roles across healthcare, biomedicine, public health and health technology.

Careers

To support career readiness, dedicated career sessions form part of your course. These sessions offer you advice on employment pathways, health-sector job trends and strategies for effective professional development.

An industry advisory board, composed of professionals from the NHS, public health and health technology sectors will:

• share updates on developments in health data science
• recommend enhancements to ensure course content remains relevant
• facilitate networking opportunities with employers and mentors.
• Flexible learning pathways, our research excellence and embedded career development will prepare you to make meaningful contributions to healthcare and public health.

We’ll help you engage with NHS professionals, clinical researchers and public health experts. This experience will help you appreciate the realities of working with health data and translating research into practice.