BSc in Data Science
Programme Code: UBDSC
Department: Statistics
For students starting this programme of study in 2021/22
Guidelines for interpreting programme regulations
Paper |
Course number, title (unit value) | |
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Year 1 |
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番茄社区100 |
番茄社区100 The 番茄社区 Course (0.5) (withdrawn 2022/23) |
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Paper 1 |
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Paper 2 |
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Paper 3 |
ST101 Programming for Data Science (0.5) # (suspended 2025/26) and ST115 Managing and Visualising Data (0.5) # ST101A Programming for Data Science (0.5) and ST115 Managing and Visualising Data (0.5) # | |
Paper 4 |
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and one from: |
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FM101 Finance (0.5) |
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Year 2 |
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Paper 5 |
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and |
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Papers 6 & 7 |
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Courses to the value of 2 unit(s) from the following: | ||
Either ST206 Probability and Distribution Theory (0.5) # and ST211 Applied Regression (0.5) # | ||
and 1.0 unit(s) from the options list belowOr ST202 Probability, Distribution Theory and Inference (1.0) # and ST211 Applied Regression (0.5) # | ||
and 0.5 unit(s) from the options list below | ||
Paper 8 |
MA214 Algorithms and Data Structures (0.5) # and ST207 Databases (0.5) # | |
Year 3 |
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Paper 9 |
ST310 Machine Learning (0.5) # and ST311 Artificial Intelligence (0.5) # | |
Paper 10 |
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Courses to the value of 1 unit(s) from the following: |
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Paper 11 |
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and 0.5 unit(s) from the list of options belowList of options |
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MA320 Mathematics of Networks (0.5) |
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ST301 Actuarial Mathematics (Life) (0.5) |
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ST302 Stochastic Processes (0.5) |
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ST313 Ethics for Data Science (0.5) |
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any 0.5 unit(s) course listed under paper 10 | ||
Paper 12 |
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Courses to the value of 1 unit(s) from the following: | ||
FM213 Principles of Finance (1.0) (withdrawn 2024/25) |
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FM300 Corporate Finance, Investments and Financial Markets (1.0) (withdrawn 2024/25) |
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MA300 Game Theory (1.0) (withdrawn 2022/23) |
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ST313 Ethics for Data Science (0.5) |
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ST327 Market Research: An Integrated Approach (1.0) |
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ST330 Stochastic and Actuarial Methods in Finance (1.0) |
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any courses listed under papers 10 & 11 |
Options list
Papers 10 & 11 options list
Footnotes
# means there may be prerequisites for this course. Please view the course guide for more information.
A: Paper 5, MA102: Students can obtain exemption from this course if they take MA103 in papers 6&7
B: Options list, MA103: Students taking this option are exempt from MA102
Note for prospective students:For changes to undergraduate 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 .