University of Sussex campus

Health Sciences

Data Science for Health MSc at University of Sussex

University of Sussex, United Kingdom

Programme overview

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

Department: Department of Mathematics  |  Duration: 1 year full time  |  Study mode: full-time  |  Intake: August 2027  |  Location: Brighton, England, United Kingdom

What you will study

Year 1 core modules: Dissertation in Data Science for Health (Jan start), Data Science Masters Research Proposal, Evidence-Based Practice, Machine Learning and Statistics for Health, Wider Topics in Data Science. Year 2 core modules: Clinical Trials Management, Data Science Research Methods Autumn, Linear Statistical Models.

Career pathways

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

Official programme page

Application information

Entry requirements

Degree requirements: You should have an upper second-class (2.1) undergraduate honours degree or above. Subject-specific requirements: 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. English language: IELTS (Academic) Standard level (6.0 overall, including at least 5.5 in each component). Apply by 15 December 2026 (International and UK).

Domestic applicants: GBP 11,600 a year. for full-time students Source

International applicants: GBP 24,200 a year. for full-time students Source

Intake: August 2027

Duration: 1 year full time

Apply through the official page: https://www.sussex.ac.uk/study/masters/apply

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