MSc in Data Science
Programme Code: TMDS
Department: Statistics
For students starting this programme of study in 2023/24
Guidelines for interpreting programme regulations
Classification scheme for the award of a taught master's degree (four units)
Exam sub-board local rules
Full-year programme. Students must take three compulsory courses, options to the value of 1.5 unit(s) and a Capstone Project 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 |
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Paper 2 |
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Paper 3 |
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Paper 4 |
Courses to the value of 1.5 unit(s), including at least 0.5 unit(s) of ST courses from the following: | |
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MY461 Social Network Analysis (0.5) | |
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MY470 Computer Programming (0.5) | |
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ST411 Generalised Linear Modelling and Survival Analysis (0.5) # | |
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ST422 Time Series (0.5) # (withdrawn 2024/25) | |
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ST457 Graph Data Analytics and Representation Learning (0.5) # | |
Paper 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 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.