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MSc in Health Data Science

Programme Code: TMHDS

Department: Health Policy

For students starting this programme of study in 2022/23

Guidelines for interpreting programme regulations

Classification scheme for the award of a taught master's degree (four units)
Exam sub-board local rules

9 month programme. Students take four compulsory half unit courses and options to the value of two unit(s).

Please note that places are limited on some optional courses. Admission onto any particular course is not guaranteed and may be subject to timetabling constraints and/or students meeting specific prerequisite requirements.


Course number, title (unit value)

Year 1

Paper 1

ST445 Managing and Visualising Data (0.5) #

Paper 2

ST447 Data Analysis and Statistical Methods (0.5) #

Paper 3

HP426 Applied Health Econometrics (0.5)

Paper 4

HP434 Methods and Data for Health Systems Performance Assessment (0.5)

Paper 5

Courses to the value of 1.0 unit(s) from the following:


ST405 Multivariate Methods (0.5) #


ST416 Multilevel Modelling (0.5) #


ST442 Longitudinal Data Analysis (0.5) #  (not available 2022/23)


ST443 Machine Learning and Data Mining (0.5) #


ST446 Distributed Computing for Big Data (0.5) #


ST449 Artificial Intelligence (0.5)


ST451 Bayesian Machine Learning (0.5) #


ST454 Applied spatio-temporal analysis (0.5) #


ST455 Reinforcement Learning (0.5) #


ST456 Deep Learning (0.5) #


ST457 Graph Data Analytics and Representation Learning (0.5) #

Paper 6

Courses to the value of 1.0 unit(s) from any available MSc course offered by the Department of Health Policy.

# means there may be prerequisites for this course. Please view the course guide for more information.

Note for prospective students:
For changes to graduate course and programme information for the next academic session, please see the graduate summary page for prospective students. Changes to course and programme information for future academic sessions can be found on the graduate summary page for future students.