MSc in Data Science

Page contents > Paper 5 options list | Prerequisite Requirements and Mutually Exclusive Options

Programme Code: TMDS

Department: Statistics

For students starting this programme of study in 2020/21

Guidelines for interpreting programme regulations

Full-year programme. Students must take four compulsory courses, options to the value of one unit and a dissertation as shown.

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)
Paper 1	MY470 Computer Programming (0.5)
	OR
	Students who can demonstrate equivalent prior knowledge of MY470, via transcripts of prior qualifications, may instead take a further 0.5 unit course from Paper 5:
	Paper 5 options list
Paper 2	ST445 Managing and Visualising Data (0.5) ^#
Paper 3	ST447 Data Analysis and Statistical Methods (0.5) ^#
Paper 4	ST443 Machine Learning and Data Mining (0.5) ^#
Paper 5	Courses to the value of 1.0 unit(s), including at least 0.5 unit(s) of ST courses from the following:
	MA407 Algorithms and Computation (0.5) ^#
	MA424 Modelling in Operations Research (0.5) ^#
	MY459 Quantitative Text Analysis (0.5) ^#
	MY461 Social Network Analysis (0.5)
	ST449 Artificial Intelligence (0.5) ^#
	ST451 Bayesian Machine Learning (0.5) ^#
	ST405 Multivariate Methods (0.5) ^#
	ST411 Generalised Linear Modelling and Survival Analysis (0.5) ^#
	ST422 Time Series (0.5) ^# (withdrawn 2024/25)
	ST429 Statistical Methods for Risk Management (0.5) ^#
	ST436 Financial Statistics (0.5) ^#
	ST444 Computational Data Science (0.5) ^#
	ST446 Distributed Computing for Big Data (0.5) ^#
Paper 6	ST498 Capstone Project (1.0) ^#

Paper 5 options list

MA407 Algorithms and Computation (0.5) ^#
MA424 Modelling in Operations Research (0.5) ^#
MY459 Quantitative Text Analysis (0.5) ^#
MY461 Social Network Analysis (0.5)
ST405 Multivariate Methods (0.5) ^#
ST411 Generalised Linear Modelling and Survival Analysis (0.5) ^#
ST422 Time Series (0.5) ^# (withdrawn 2024/25)
ST429 Statistical Methods for Risk Management (0.5) ^#
ST436 Financial Statistics (0.5) ^#
ST444 Computational Data Science (0.5) ^#
ST449 Artificial Intelligence (0.5) ^#
ST451 Bayesian Machine Learning (0.5) ^#

Prerequisite Requirements and Mutually Exclusive Options

# 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 . Changes to course and programme information for future academic sessions can be found on the .

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