MSc in Health Data Science

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Programme Code: TMHDS

Department: Health Policy

For students starting this programme of study in 2021/22

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.
Paper	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 unit(s) from the following: ST405 Unsupervised Machine Learning and Multivariate Data Analysis (0.5)
	ST416 Multilevel Modelling (0.5) #
	ST442 Longitudinal Data Analysis (0.5) # (suspended 2025/26)
	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 Bayesian Data Analysis (0.5) # (suspended 2025/26)
	ST455 Reinforcement Learning (0.5) #
	ST456 Deep Learning (0.5) #

Paper 6
	Courses to the value of 1 unit(s) from the following: HP407 Evidence Review and Synthesis for Decision Making (0.5)
	HP420 Health Economics (0.5)
	HP422 Health Care Economic Evaluation (0.5)
	HP425 Statistical Methods in Health Care Economic Evaluation (0.5) #
	HP428 Randomised evaluations of health programmes: from design to implementation (0.5)

# 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.