MSc in Data Science
Programme Code: TMDS
Department: Statistics
For students starting this programme of study in 2018/19
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 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) | |
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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 2 |
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Paper 3 |
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OR | |
Students who can demonstrate equivalent prior knowledge of ST447, via transcripts of prior qualifications, may instead take a further 0.5 unit course from Paper 5: | ||
Paper 4 |
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Paper 5 |
Courses to the value of 1.0 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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ST449 Artificial Intelligence (0.5) | |
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ST411 Generalised Linear Modelling and Survival Analysis (0.5) # | |
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Paper 6 |
ST498 Capstone Project (1.0) |
Paper 5 options list
MY461 Social Network Analysis (0.5) or | |
ST411 Generalised Linear Modelling and Survival Analysis (0.5) # or | |
ST449 Artificial Intelligence (0.5) or | |
# 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.