Data Science and Statistics (Health)

To apply for this course, your undergraduate degree should be in a programme that incorporates substantial elements of both mathematics and computing such as mathematics, statistics, computer science, physics, chemistry, engineering or economics.

We will also consider other subjects, for example geography or biology, which may meet the criteria depending on their specific mathematical and computing content.

Data science and statistics are revolutionising healthcare. From improving our understanding of disease cause and progression, to influencing clinical and governmental decision-making, they are an increasingly important component of the modern healthcare system.

This course will equip you with the skills sought after by employers from pharmaceutical companies to hospitals and health analytics companies. You’ll study the fundamentals of data science and statistics, including key analytical methodologies such as machine learning and statistical modelling, alongside programming and data analysis skills in both Python and R. You’ll also gain extensive, hands-on practical experience in health applications through a bespoke year-long unit in Applied Health Data Science. This will equip you with the skills to interpret, analyse and evaluate real-life healthcare problems.

• Stand out when applying for jobs by gaining a strong foundation in both data science and statistics, opening up a wide range of careers in healthcare and other sectors.
• Undertake an intensive research project in collaboration with academics engaged in health-related research.
• Undertake an optional 12-month placement with a company or public sector body, to improve your employability.

Research project

The cross-departmental nature of the degree means you’ll be able to choose from a wide variety of areas for your research project. Projects will generally be carried out in collaboration with academics engaged in health-related research from the Department for Health, the Department of Pharmacy & Pharmacology, or the Department of Psychology, and involve statistical analysis of real-world health research data.

Career prospects

You’ll be well equipped for a range of data science and statistics careers in industry and the public sector, particularly in the healthcare, biopharmaceutical and medical technology sectors. Examples of the types of roles you could work in include Health Data Scientists, Biostatisticians and Machine Learning Engineers. You’ll also be well-positioned for further postgraduate study and research within the field.

Optional placement year

This course gives you the option of extending your course by a year to go on placement.

Going on placement gives you the opportunity to apply your skills and knowledge to a year working in industry. You'll be employed full-time in a role to match your future career ambitions, broadening your experience and transferable skills. We have links with some of the industry's leading companies.