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)

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) ^#

Paper 4

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

AC102 Elements of Financial Accounting (0.5)

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

EC1A3 Microeconomics I (0.5) ^#

EC1B3 Macroeconomics I (0.5) ^{# 1}

FM101 Finance (0.5)

MA102 Mathematical Proof and Analysis (0.5) ^#

MA103 Introduction to Abstract Mathematics (1.0) ^#

Paper 5

If MA102 or MA103 has not been taken in Year 1: 

MA102 Mathematical Proof and Analysis (0.5) ^# and MA222 Further Mathematical Methods (Linear Algebra) (0.5) ^{# A}

OR

If MA102 or MA103 has been taken in Year 1, either:

MA203 Real Analysis (0.5) ^# and MA222 Further Mathematical Methods (Linear Algebra) (0.5) ^# or

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:

Either

ST206 Probability and Distribution Theory (0.5) ^# and ST211 Applied Regression (0.5) ^#

and 1.0 unit(s) from the options list below

Or

ST202 Probability, Distribution Theory and Inference (1.0) ^# and 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) ^#

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:

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) ^#

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) ^{# 3}

ST302 Stochastic Processes (0.5) ^#

ST303 Stochastic Simulation (0.5) ^{# 4}

ST307 Aspects of Market Research (0.5) ^{# 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 1.0 unit(s) from the following:

FM214 Principles of Finance I (0.5) ^{# 6 E}

FM215 Principles of Finance II (0.5) ^{# 7 8}

FM310 Corporate Finance, Investments and Financial Markets I (0.5) ^{# F}

FM311 Corporate Finance, Investments and Financial Markets II (0.5) ^{# 9}

MA330 Game Theory for Collective Decisions (0.5) ^#

ST313 Ethics for Data Science (0.5) ^#

ST327 Market Research: An Integrated Approach (1.0) ^{# 10}

ST330 Stochastic and Actuarial Methods in Finance (1.0) ^{# 11}

any courses listed under papers 10 & 11

Papers 10 & 11 options list