BSc in Data Science
Programme Code: UBDSC
Department: Statistics
For students starting this programme of study in 2024/25
Guidelines for interpreting programme regulations
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) | |
ÐÓ°ÉÂÛ̳100 |
ÐÓ°ÉÂÛ̳100 is a half unit taken by all students, running across Autumn and Winter Terms in the first year. The course provides one of the marks that is eligible to be included in the calculation of the First Year Average for purposes of classification. Students will choose ONE of the three half-unit options below: | |
ÐÓ°ÉÂÛ̳100A The ÐÓ°ÉÂÛ̳ Course: How can we transform our climate futures? (0.5) | ||
ÐÓ°ÉÂÛ̳100B The ÐÓ°ÉÂÛ̳ Course: How can we control AI? (0.5) | ||
ÐÓ°ÉÂÛ̳100C The ÐÓ°ÉÂÛ̳ Course: How can we create a fair society? (0.5) | ||
Year 1 | ||
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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) # and ST115 Managing and Visualising Data (0.5) # | |
Paper 4 |
Courses to the value of 1.0 unit(s) from the following: | |
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EITHER A | |
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OR B | |
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EC1A3 Microeconomics I (0.5) # and EC1B3 Macroeconomics I (0.5) # | |
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OR C | |
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Courses to the value of 0.5 unit(s) from the following: | |
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AC102 Elements of Financial Accounting (0.5) | |
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And | |
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Courses to the value of 0.5 unit(s) from the following: | |
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AC103 Elements of Management Accounting, Financial Management and Financial Institutions (0.5) | |
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FM101 Finance (0.5) | |
Year 2 | ||
Paper 5 |
If MA102 or MA103 has not been taken in Year 1: | |
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MA102 Mathematical Proof and Analysis (0.5) # and MA222 Further Mathematical Methods (Linear Algebra) (0.5) # D | |
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OR | |
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If MA102 or MA103 has been taken in Year 1, either: | |
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MA203 Real Analysis (0.5) # and MA222 Further Mathematical Methods (Linear Algebra) (0.5) # or | |
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MA221 Further Mathematical Methods (Calculus) (0.5) # (not available 2024/25) and MA222 Further Mathematical Methods (Linear Algebra) (0.5) # | |
Papers 6 & 7 |
Courses to the value of 2.0 unit(s) from the following: | |
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Either | |
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ST206 Probability and Distribution Theory (0.5) # and ST211 Applied Regression (0.5) # | |
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and 1.0 unit(s) from the options list below | |
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Or | |
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ST202 Probability, Distribution Theory and Inference (1.0) # and ST211 Applied Regression (0.5) # | |
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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 | ||
Paper 9 |
ST310 Machine Learning (0.5) # and ST311 Artificial Intelligence (0.5) # | |
Paper 10 |
Courses to the value of 1.0 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 below | |
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List of options | |
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any 0.5 unit(s) course listed under paper 10 | |
Paper 12 |
Courses to the value of 1.0 unit(s) from the following: | |
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FM310 Corporate Finance, Investments and Financial Markets I (0.5) # | |
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FM311 Corporate Finance, Investments and Financial Markets II (0.5) # 7 | |
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any courses listed under papers 10 & 11 | |