Health Data Science MSc

at University College London

Compulsory modules
 

• Principles of Health Data Science - CHME0012
• Software Development with Python for Health Data Science - CHME0031
• Basic Statistics for Medical Sciences - IEHC0046
• Data Methods for Health Research - CHME0013
• Regression Modelling - IEHC0050
• Dissertation - CHME0021

Optional modules
 

• Machine Learning in Healthcare and Biomedicine - CHME0016
• Advanced Machine Learning for Healthcare - CHME0035
• Computational Genetics of Healthcare - CHME0034
• Advanced Statistics for Records Research (Blended) - CHME0015
• Public Health Data Science (Blended) - CHME0017
• Essentials of Informatics for Healthcare Systems (Blended) - CHME0025

A minimum of an upper second-class Bachelor's degree, or equivalent, in a clinical or a scientific discipline with a significant computational or mathematical element.

Equivalent qualifications for India

The award of any of the following from a recognised institution:
 

• A Bachelor's degree with a minimum overall CGPA of 7.75/10, 6.25/8.0, 5.75/7.0, 4.25/6.0, 3.3/4.0, or 60% where a GPA scale is not used. The overall mark required is dependent on the subject and the ranking of the institution at which the degree has been taken.

Alternative qualifications
 

• Master's; Medical / Dental degree; MPhil/PhD

UK students
£12,900

International students
£29,400    

Today, some of the most exciting, stimulating and productive research is carried out using large collections of data acquired in big collaborative endeavours or major public or private initiatives. As a student on this programme, we will work with you to develop your passion and interest in this area of research. You will gain skills for a career as an entrepreneur, scientist or manager, working in industry, academia or healthcare.