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MSc - Master of Science
St Luke's Campus
Full Time
SEP-25
1 year
Select a course option
MSc - Master of Science
St Luke's Campus
Full Time
SEP-25
1 year
MSc - Master of Science
St Luke's Campus
Part Time
SEP-25
3 years
MSc - Master of Science
St Luke's Campus
Part Time
SEP-25
2 years
Select a subject
Select a an exam type
Overview
•Gain cutting edge skills in the field of health-related data; a rapidly growing area in which the UK excels with access to the largest biobanks, genomic and health services resources.
•Join a diverse cohort of students who seek to develop an aptitude for handling data and improve their coding skills.
•Learn to apply your quantitative skills (e.g. computational, mathematical, engineering) in a health and medical setting, even if you have had no prior experience in health or medicine or biology. OR learn to apply your previous experience in health, medicine or biology in new ways by learning quantitative skills in computing and data science.
•Perform research in the real world, with a range of exciting research project opportunities including those with placements in the NHS, large pharmaceutical companies and health data companies.
•This course offers exciting career opportunities, with previous students in new careers in: the National Health Service as analysts;
Course content
•Our MSc Health Data Science will help you develop innovative skills needed to unlock knowledge from complex health data, to address some of the biggest health challenges that we face across the globe today. This course combines the expertise of our world-renowned health scientists with experts in mathematics and computer science to develop a better understanding of diseases and to find ways to prevent, treat and cure them.
•You’ll have the opportunity to carry out a research project, working real-world health data. Project providers include the NHS, the pharmaceutical industry, and health data and Artificial Intelligence companies.
•Depending on your existing skills and knowledge, you will pursue one of two routes during the early stages of the programme. Students without prior knowledge of programming and coding will be trained to perform computing and code-writing tasks in Python and discover the scope of tools available to you as a data scientist. Students with prior experience in coding and programming will boost their Python coding skills and be introduced to machine learning methods for learning from complex data sets. You will be supported in selecting the most appropriate route for you.
•Careers
•Who is this course for?
This course is suitable for anyone who is interested in pursuing a career or further study in health data science. We welcome students from computer science, maths, physics or engineering but who do not necessarily have any experience in biology or health – bioscience and health aspects of health data science will be taught on the programme.
You will have, or be predicted, at least a 2:2 degree in a strongly numerate subject (e.g. computer science, mathematics, physics), OR a 2:2 in a health/life sciences degree. Alternatively you will have demonstrably strong skills in maths, computing or engineering, but not necessarily a degree. Coding experience is not essential. We will assess your computer programming ability with a simple, short test early in the first term, the result of which will influence recommended modules. We will also use your personal statement and a short interview to determine which students receive full fees and stipend.
Students living in
Domestic
£12,700 per year
Students from Domestic
UK:?£1,200 per 15-credit module
£29,700 per year
Students from EU
International £2,700 per 15-credit module
£29,700 per year
Students from International
International £2,700 per 15-credit module
London School of Hygiene & Tropical Medicine, University of London