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BSc in Mathematics with Data Science

Programme Code: UBMAWDS

Department: Mathematics

For students starting this programme of study in 2022/23

Guidelines for interpreting programme regulations

Three-year Classification Scheme for BA/BSc degrees from the 2018/19 academic year.

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)

LSE100

LSE100 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:

LSE100A The LSE Course: How can we transform our climate futures? (0.5)

LSE100B The LSE Course: How can we control AI? (0.5)

LSE100C The LSE Course: How can we create a fair society? (0.5)

Year 1

Paper 1

EC1A3 Microeconomics I (0.5) # and EC1B3 Macroeconomics I (0.5) #

Paper 2

MA100 Mathematical Methods (1.0) #

Paper 3

ST102 Elementary Statistical Theory (1.0) #

Paper 4

MA103 Introduction to Abstract Mathematics (1.0) #

Year 2

Paper 5

MA214 Algorithms and Data Structures (0.5) # and ST101A Programming for Data Science (0.5) #  (not available 2024/25)

Paper 6

MA212 Further Mathematical Methods (1.0) #

Paper 7

MA203 Real Analysis (0.5) # and MA208 Optimisation Theory (0.5) #

Paper 8

ST202 Probability, Distribution Theory and Inference (1.0) #

 

OR

 

ST206 Probability and Distribution Theory (0.5) #

 

and one from:

 

MA209 Differential Equations (0.5) #

 

MA210 Discrete Mathematics (0.5) #

 

MA211 Algebra and Number Theory (0.5) #

Year 3

Papers 9 & 10

Courses to the value of 2.0 unit(s) from the following:

 

MA316 Graph Theory (0.5) #

 

MA320 Mathematics of Networks (0.5) #

 

MA324 Mathematical Modelling and Simulation (0.5) #

 

MA333 Optimisation for Machine Learning (0.5) #

 

ST310 Machine Learning (0.5) #

 

ST311 Artificial Intelligence (0.5) #

 

ST313 Ethics for Data Science (0.5) #

Paper 11

Courses to the value of 1.0 unit(s) from the following:

 

MA301 Mathematical Game Theory (0.5) #

 

MA315 Algebra and its Applications (0.5) #

 

MA317 Complex Analysis (0.5) #

 

MA318 History and Culture of Mathematics (0.5) #

 

MA319 Partial Differential Equations (0.5) #

 

MA321 Measure Theoretic Probability (0.5) #

 

MA322 Mathematics of Finance and Valuation (0.5) #

 

MA330 Game Theory for Collective Decisions (0.5) #

 

ST302 Stochastic Processes (0.5) #

 

ST304 Time Series and Forecasting (0.5) #

 

ST308 Bayesian Inference (0.5) #

 

ST326 Financial Statistics (0.5) #

 

(No more than one level two course can be taken in Year 3):

 

EC2A3 Microeconomics II (0.5) #

 

EC2B3 Macroeconomics II (0.5) #

 

EC2C3 Econometrics I (0.5) #

 

FM214 Principles of Finance I (0.5) #

 

FM215 Principles of Finance II (0.5) # 1

 

MA209 Differential Equations (0.5) #

 

MA210 Discrete Mathematics (0.5) #

 

MA211 Algebra and Number Theory (0.5) #

 

MA213 Operations Research Techniques (0.5) #

 

ST207 Databases (0.5) #

Papers 9 & 10 options list

Paper 12

Courses to the value of 1.0 unit(s) from the following:

 

Any other course with permission from the Departmental Tutor

Papers 9 & 10 options list

Paper 11 options list

Undergraduate Outside Options List (Years 2 & 3)

Papers 9 & 10 options list

Paper 11 options list

Undergraduate Outside Options List (Years 2 & 3)

Prerequisite Requirements and Mutually Exclusive Options

* means available with permission

# means there may be prerequisites for this course. Please view the course guide for more information.

1 : Before taking FM215 you must take FM214

2 : Before taking FM215 you must take FM214

Note for prospective students:
For changes to undergraduate course and programme information for the next academic session, please see the undergraduate summary page for prospective students. Changes to course and programme information for future academic sessions can be found on the undergraduate summary page for future students.