The MSc in Health Data Science is a programme designed to equip future health data analysts with the skills they need to interpret, analyse, assess, and evaluate health interventions, services, programmes, and policies. This is a joint programme between the LSE’s Department of Health Policy and the Department of Statistics.
As the health sector, already a major employment sector, continues to grow and as larger, more complex data sets become available, there is an increasing need for professionals with strong quantitative skills to evaluate health care interventions and outcomes, as well as health system performance. The MSc in Health Data Science is tailored to train those seeking to develop the statistical and computational skills necessary to become data science specialists in the health care, biopharmaceutical and medical technology sectors.
At least an upper second class honours (2:1) degree, or equivalent, which includes a substantial amount of quantitative methods, including a significant amount of statistics. Well-qualified applicants who do not meet this requirement will be considered on individual merit.
Competition for places at the School is high. This means that even if you meet the minimum entry requirement, this does not guarantee you an offer of admission.
For fees and funding options please visit website to find out more
The School recognises that the cost of living in London may be higher than in your home town or country, and we provide generous scholarships each year to home and overseas students.
This programme is eligible for needs-based awards from LSE, including the Graduate Support Scheme, Master’s Awards, and Anniversary Scholarships.
Possible professional destinations after completing the degree include insurance funds, pharmaceutical and medical devices industries, national health services, government departments and agencies, consultancies, and international organisations and agencies as well as employment in research or further study for a PhD.
Please visit website for module details
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