London School of Hygiene & Tropical Medicine MSc Health Data Science دراسة London School of Hygiene & Tropical Medicine, University of London في

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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.

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London School of Hygiene & Tropical Medicine

خيارات الدراسة

دوام كامل (2 أعوام )

رسوم التسجيــل
£31,450.00 (US$ 40,615) سنوياً
هذه رسوم ثابتة
الموعد النهائي للتسجيل

متوقع July 2027

تاريخ البدء

سبتمبر 2026

مكان عقــد الدورة

London School of Hygiene & Tropical Medicine

Keppel Street,

London,

Greater London,

WC1E 7HT, Southern England, United Kingdom

دوام كامل (1 عام )

رسوم التسجيــل
£31,450.00 (US$ 40,615) سنوياً
هذه رسوم ثابتة
الموعد النهائي للتسجيل

متوقع July 2027

تاريخ البدء

سبتمبر 2026

مكان عقــد الدورة

London School of Hygiene & Tropical Medicine

Keppel Street,

London,

Greater London,

WC1E 7HT, Southern England, United Kingdom

شروط القبول

للطلاب الدوليين

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.

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