Course 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
- Build your quantitative, computational, and practical data management skills as you apply statistical and machine learning approaches to analysing health data
- Develop the professional skills you’ll depend on in your career, such as teamwork, project management, and presentation
- Find out how and where data are collected and what that means for their quality, accessibility, and bias
- Study ethical, security, and governance issues around collecting, storing, and using personal information.
Modules
Term 1 compulsory modules include: Thinking Like a Health Data Scientist; Programming; Health Data Management; Concepts and Methods in Epidemiology; Statistics for Health Data Science. Term 2 compulsory modules: Machine Learning; Data Challenge. Students take a total of four study modules in term 2, one from each timetable slot (C1, C2, D1, D2, E). Modules are subject to change. To see the full list of module options, please see the programme webpage on our website.
Assessment method
For full assessment information, please see the module specifications.
Entry requirements
In order to be admitted to an LSHTM master's degree programme, an applicant must: - hold either a first degree at Second Class Honours (2:2) standard in a relevant discipline, or a degree in medicine recognised by the UK General Medical Council (GMC) for the purposes of practising medicine in the UK, or another degree of equivalent standard awarded by an overseas institution recognised by UK ENIC or the GMC. OR - hold a professional qualification appropriate to the programme of study to be followed obtained by written examinations and judged by LSHTM to be equivalent to a Second Class Honours (2:2) degree or above. OR - have relevant professional experience or training which is judged by LSHTM to be equivalent to a Second Class Honours (2:2) degree or above. 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.
English language requirements
As part of the application process, applicants are required to demonstrate how they meet LSHTM's minimum English Language requirements. This is particularly important for applicants requiring a Student Visa, as the UK Home Office dictates that every student from outside the UK and Republic of Ireland must show evidence of a minimum level of English language ability (called CEFR B2 level) in order to be granted a Student visa and study in the UK.
View requirements
https://www.lshtm.ac.uk/study/applications/applying-masters-degree-london/general-entry-requirements
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Please refer to the LSHTM website for up to date information on fees & funding: https://www.lshtm.ac.uk/study/fees-funding
Sponsorship information
Information on all the scholarships we offer can be found on our fees and funding webpages. These pages are updated regularly as new scholarships become available. However, we recommend that students also look into alternative sources of funding.
Provider information
London School of Hygiene & Tropical Medicine, University of London
Keppel Street
Camden
WC1E 7HT