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BSc in Data Science

Programme Code: UBDSC

Department: Statistics

For students starting this programme of study in 2024/25

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)

Year 1

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)

Paper 1

ST102 Elementary Statistical Theory (1.0) #

Paper 2

MA100 Mathematical Methods (1.0) #

Paper 3

ST101A Programming for Data Science (0.5) and ST115 Managing and Visualising Data (0.5) #

ST101 Programming for Data Science (0.5) # (suspended 2025/26) and ST115 Managing and Visualising Data (0.5) #

Paper 4

A B

Courses to the value of 1 unit(s) from the following:

EITHER

MA103 Introduction to Abstract Mathematics (1.0) #

OR

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

OR Courses to the value of 0.5 unit(s) from the following:

AC102 Elements of Financial Accounting (0.5)

EC1A3 Microeconomics I (0.5) #

MA102 Mathematical Proof and Analysis (0.5) #

And Courses to the value of 0.5 unit(s) from the following:

AC103 Elements of Management Accounting, Financial Management and Financial Institutions (0.5)

FM101 Finance (0.5)

Year 2

Paper 5

If MA102 or MA103 was not taken in Year 1: C

MA222 Further Mathematical Methods (Linear Algebra) (0.5) #

MA102 Mathematical Proof and Analysis (0.5) #

(OR)

Students must otherwise take one from:

MA203 Real Analysis (0.5)

MA221 Further Mathematical Methods (Calculus) (0.5) #

Papers 6 & 7

Courses to the value of 2 unit(s) from the following:

Either

ST206 Probability and Distribution Theory (0.5) #

ST211 Applied Regression (0.5) #

and 1.0 unit(s) from the options list below Or

ST202 Probability, Distribution Theory and Inference (1.0) #

ST211 Applied Regression (0.5) #

and 0.5 unit(s) from the options list below

Options list

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 unit(s) from the following:

ST300 Regression and Generalised Linear Models (0.5) #

ST302 Stochastic Processes (0.5)

ST304 Time Series and Forecasting (0.5) #

ST308 Bayesian Inference (0.5) #

ST314 Multilevel and Longitudinal Models (0.5) #

ST326 Financial Statistics (0.5) #

Paper 11

ST312 Applied Statistics Project (0.5) #

and 0.5 unit(s) from the list of options below List of options

MA301 Mathematical Game Theory (0.5) #

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) #

ST301 Actuarial Mathematics (Life) (0.5)

ST303 Stochastic Simulation (0.5) #

ST307 Aspects of Market Research (0.5) #

ST313 Ethics for Data Science (0.5)

any 0.5 unit(s) course listed under paper 10

Paper 10 options list

Paper 12

Courses to the value of 1 unit(s) from the following:

FM214 Principles of Finance I (0.5) #

FM215 Principles of Finance II (0.5)

FM310 Corporate Finance, Investments and Financial Markets I (0.5)

FM311 Corporate Finance, Investments and Financial Markets II (0.5)

FM321 Risk Management and Modelling (0.5) #

FM322 Derivatives (0.5) #

MA330 Game Theory for Collective Decisions (0.5) #

ST327 Market Research: An Integrated Approach (1.0)

ST330 Stochastic and Actuarial Methods in Finance (1.0)

any courses listed under papers 10 & 11

Papers 10 & 11 options list

Options list

EC2A3 Microeconomics II (0.5)

EC2B3 Macroeconomics II (0.5)

EC2C3 Econometrics I (0.5)

EC2C4 Econometrics II (0.5)

FM214 Principles of Finance I (0.5) #

FM215 Principles of Finance II (0.5)

LL210 Information Technology and the Law (1.0) # (suspended 2025/26)

LL220 Technology Law and Regulation (0.5) #

MA103 Introduction to Abstract Mathematics (1.0) #

MA203 Real Analysis (0.5)

MA208 Optimisation Theory (0.5) #

MA210 Discrete Mathematics (0.5) #

MA213 Operations Research Techniques (0.5) #

MA221 Further Mathematical Methods (Calculus) (0.5) #

ST205 Sample Surveys and Experiments (0.5) #

ST226 Mathematics for Finance and Investment (0.5) #

ST227 Survival Models (0.5) #

Paper 10 options list

ST300 Regression and Generalised Linear Models (0.5) #

ST304 Time Series and Forecasting (0.5) #

ST308 Bayesian Inference (0.5) #

ST314 Multilevel and Longitudinal Models (0.5) #

ST326 Financial Statistics (0.5) #

Papers 10 & 11 options list

MA301 Mathematical Game Theory (0.5) #

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) #

ST300 Regression and Generalised Linear Models (0.5) #

ST301 Actuarial Mathematics (Life) (0.5)

ST302 Stochastic Processes (0.5)

ST303 Stochastic Simulation (0.5) #

ST304 Time Series and Forecasting (0.5) #

ST307 Aspects of Market Research (0.5) #

ST308 Bayesian Inference (0.5) #

ST313 Ethics for Data Science (0.5)

ST314 Multilevel and Longitudinal Models (0.5) #

ST326 Financial Statistics (0.5) #

Footnotes

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

A: Paper 4: OR

B: Paper 4: And

C: Paper 5, MA102 AND MA222: Students can obtain exemption from this course if they take MA103 in papers 6&7

D: Options list, MA103: Students taking this option are exempt from MA102

E: Options list, MA203: MA203 can only be taken if MA102 or MA103 has been taken under paper 4.

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.