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London School of Hygiene & Tropical Medicine, University of London: Health Data Science
| Institution | London School of Hygiene & Tropical Medicine, University of London View institution profile |
|---|---|
| Department | Interdepartmental |
| Web | www.lshtm.ac.uk/study |
| study@lshtm.ac.uk | |
| Telephone | +44 (0) 20 7636 8636 |
| Study type | Taught |
Summary
The amount of health data available today is vast. That information has huge potential to improve health around the world, but only if it’s properly managed, analysed, and communicated. Study MSc Health Data Science at LSHTM to combine your passion for healthcare with your technical knowledge – and help identify new ways to prevent, treat, and cure disease.
Over one year (full time) or two years (part time or split study), you’ll develop the specialist skills you need to become a successful and in-demand health data scientist. Immerse yourself in an inspiring environment where world leaders in subjects like machine learning, electronic health records and epidemiology are pushing boundaries.
What you will learn - Discover how mathematics, programming, statistics, epidemiology, and informatics combine in this emerging discipline
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Build your quantitative, computational, and practical data management skills as you apply statistical and machine learning approaches to analysing health data
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Develop the professional skills you’ll depend on in your career, such as teamwork, project management, and presentation
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Find out how and where data are collected and what that means for their quality, accessibility, and bias
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Study ethical, security, and governance issues around collecting, storing, and using personal information.
Duration Please note this course is available one year full-time; part-time or split-study over two years.
MSc
| Level | RQF Level 7 |
|---|---|
| Entry requirements | In order to be admitted to an LSHTM master's degree programme, an applicant must: Applicants to the MSc Health Data Science are expected to have a solid foundation in mathematics. Specifically, a prior understanding of probability and statistics, calculus, linear algebra including logarithms and exponents is required. This should have been gained to undergraduate level, either as a mathematics/statistics degree or as a substantive element of other science-based undergraduate programmes. Moreover, although not a prerequisite, familiarity with programming logic and prior experience in computer programming would be beneficial. In place of a degree, significant relevant professional experience (2-3 years) in health data science or a related field involving substantial quantitative methods may be accepted. After submitting an application, the Programme Director will email a pre-entry assessment to evaluate the applicants quantitative and programming knowledge. This assessment must be completed to move further in the application process. The 60-90 minute online assessment will review the applicant's knowledge in probability and statistics, linear algebra, functions, calculus, combinatorics and programming/programming logic (prior exposure to writing programming syntax is essential). Applicants who do not meet the minimum entry requirement, but who have relevant professional experience may still be eligible for admission. Qualifications and experience will be assessed from the application. Please visit our website for full entry requirements for the MSc in Health Data Science, including English Language requirements if English is not your first language. |
| Location | London School of Hygiene and Tropical Medicine Keppel Street London WC1E 7HT |
| Level | RQF Level 7 |
|---|---|
| Entry requirements | In order to be admitted to an LSHTM master's degree programme, an applicant must: Applicants to the MSc Health Data Science are expected to have a solid foundation in mathematics. Specifically, a prior understanding of probability and statistics, calculus, linear algebra including logarithms and exponents is required. This should have been gained to undergraduate level, either as a mathematics/statistics degree or as a substantive element of other science-based undergraduate programmes. Moreover, although not a prerequisite, familiarity with programming logic and prior experience in computer programming would be beneficial. In place of a degree, significant relevant professional experience (2-3 years) in health data science or a related field involving substantial quantitative methods may be accepted. After submitting an application, the Programme Director will email a pre-entry assessment to evaluate the applicants quantitative and programming knowledge. This assessment must be completed to move further in the application process. The 60-90 minute online assessment will review the applicant's knowledge in probability and statistics, linear algebra, functions, calculus, combinatorics and programming/programming logic (prior exposure to writing programming syntax is essential). Applicants who do not meet the minimum entry requirement, but who have relevant professional experience may still be eligible for admission. Qualifications and experience will be assessed from the application. Please visit our website for full entry requirements for the MSc in Health Data Science, including English Language requirements if English is not your first language. |
| Location | London School of Hygiene and Tropical Medicine Keppel Street London WC1E 7HT |
What if health wasn’t just treated, but transformed? What if your ambition could help shape healthier futures for all? At the London School of Hygiene & Tropical Medicine (LSHTM), the world’s leading minds in public and global health come together to face complex challenges with clarity, compassion and conviction. Our students and staff explore the science that shapes the future of public health, and trains the future of public health with the expertise, confidence and credibility to drive change that lasts – locally, globally and across generations.
This is LSHTM. Where your ‘what ifs’ become your reason why.
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