Health Data Science and Statistics

Entry requirements

A 2:2 honours degree, or equivalent, in biology, biomedical science, computer science, chemistry, dentistry, economics, accounting, finance, engineering, epidemiology, health, geography, marine sciences, mathematics, statistics, data science, medicine, nursing, nutrition, physics, public health, psychology, and any other related disciplines in science, engineering, health and technology. Please contact us for individual advice.

Months of entry

September

Course content

This interdisciplinary programme provides you with up-to-date knowledge on data analytics, medical statistics, machine learning and artificial intelligence, as well as the design and analysis of health studies. These skills are highly sought after by employers in the healthcare sectors in the UK and globally, and ultimately, help them to improve public health. This MSc prepares you to work as a health data scientist or medical statistician in the public, charity or private sectors. Key features:

• Equip applicants from many undergraduate disciplines to gain specialisations in health data analytics, one of the fastest growing scientific areas in the world.
• Develop research skills and mastery of advanced health data research through an individual project supervised by world-leading subject experts.
• Establish proficiency in the use and application of state-of-the-art programming languages, such as R and Python, with additional instruction in SQL and NoSQL.
• Benefit from easy access to cutting-edge specialist computing facilities and next-generation software and hardware. You may access facilities such as our NVIDIA seed-funded GPU Research Centre and our High Performance Computing (HPC) Centre.
• Access our new engineering and design facility. Students in engineering, science and the arts have access to a range of specialist equipment and innovative laboratories.
• Master statistical principles, and how to apply the resulting methods to solve practical problems related to the collection, analyses and interpretations of medical data.
• Core modules in medical data analytics, computing, and health studies, with flexible choices in data science, artificial intelligence and health studies.
• Gain modern analytics expertise for obtaining healthcare insights from medical studies, including clinical trials, cohort studies and electronic health records.
• Enjoy research-led teaching from statisticians and data scientists from the Centre for Mathematical Sciences, e-health experts from the Centre for Health Technology, clinicians and epidemiologists from Faculty of Health, applied health research scientists from the School of Health Professions, medical statisticians from Peninsula Clinical Trials Unit (PenCTU), artificial intelligence specialists from Nanotechnology and Electronics Research Group, as well as computer scientists from Centre for Cyber Security, Communications and Network Research (CSCAN).

Information for international students

We offer a range of general and merit-based postgraduate scholarships for local and international students.