Public Health MSc Health Data Analytics and Machine Learning دراسة Imperial College London في

MSc Health Data Analytics and Machine Learning

بريطانيا

10

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Course overview:Broaden your expertise in analysing health data in this Master's course. You will gain expertise in developing, applying and interpreting results from cutting-edge statistical, machine learning, and artificial intelligence approaches for analysing and integrating complex sets of data that are emerging in the health field. The course is delivered by international experts. They leverage their extensive experience to design materials which better equip you to handle the complexity of real-world health data. Lectures provide rigorous and accessible theoretical background to the advanced methodology. Each lecture is paired with a hands-on session which applies the theoretic concepts to real-world data. This strong technical component will prepare you for a career in health data sciences. You will apply the cutting-edge skills you gain to unexplored scientific questions with potential real-world impact. Through closely supervised individual and group projects, you will learn how to perform rigorous research to international publication standard. You will be integrated into a world-leading academic or industrial research team for your final project. This capstone project will give you demonstrable experience applying the comprehensive skillset from the course in a role as a data expert.

في أي قسم أنا؟

Public Health

خيارات الدراسة

دوام كامل (1 عام )

رسوم التسجيــل
£47,300.00 (US$ 61,085) سنوياً
هذه رسوم مؤقتة قيد القبول
الموعد النهائي للتسجيل

18/06/2027

تاريخ البدء

سبتمبر 2027

مكان عقــد الدورة

Hammersmith Hospital Campus

The Commonwealth Building, The Hammersmith Hospital, Du Cane Road,

London,

Greater London,

W12 0NN, Southern England, United Kingdom

دوام كامل (1 عام )

رسوم التسجيــل
£47,300.00 (US$ 61,085) سنوياً
هذه رسوم مؤقتة قيد القبول
الموعد النهائي للتسجيل

18/06/2027

تاريخ البدء

سبتمبر 2027

مكان عقــد الدورة

White City Campus

80–92 Wood Lane,

London,

Greater London,

W12 0BZ, Southern England, United Kingdom

شروط القبول

للطلاب الدوليين

2:1 in mathematics, statistics, epidemiology or biology, or a medical degree.

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