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MSc in Statistics (Financial Statistics) (Research)

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Programme Code: TMSTFSRE

Department: Statistics

For students starting this programme of study in 2021/22

Guidelines for interpreting programme regulations

Classification scheme for the award of a taught master's degree (four units)
Exam sub-board local rules

Academic-year programme. Students take three compulsory courses (two units), a dissertation, and optional courses to the value of one unit.

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)

Paper 1

ST425 Statistical Inference: Principles, Methods and Computation (1.0) #

Paper 2

ST436 Financial Statistics (0.5) #

Paper 3

ST422 Time Series (0.5) # (withdrawn 2024/25)

Paper 4

ST499 Dissertation (1.0)

Paper 5

A

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

ST405 Unsupervised Machine Learning and Multivariate Data Analysis (0.5)

ST409 Stochastic Processes (0.5) #

ST411 Generalised Linear Modelling and Survival Analysis (0.5) #

ST416 Multilevel Modelling (0.5) #

ST418 Advanced Time Series Analysis (0.5) #

ST426 Applied Stochastic Processes (0.5) (suspended 2025/26)

ST429 Statistical Methods for Risk Management (0.5) #

ST433 Computational Methods in Finance and Insurance (0.5) # (withdrawn 2024/25)

ST439 Stochastics for Derivatives Modelling (0.5) (suspended 2025/26)

ST440 Recent Developments in Finance and Insurance (0.5) (suspended 2025/26)

ST442 Longitudinal Data Analysis (0.5) # (suspended 2025/26)

ST443 Machine Learning and Data Mining (0.5) #

ST444 Computational Data Science (0.5) # (suspended 2025/26)

ST445 Managing and Visualising Data (0.5) #

ST446 Distributed Computing for Big Data (0.5) #

ST448 Insurance Risk (0.5) # (suspended 2025/26)

ST449 Artificial Intelligence (0.5) #

ST451 Bayesian Machine Learning (0.5) #

ST454 Bayesian Data Analysis (0.5) # (suspended 2025/26)

ST455 Reinforcement Learning (0.5) #

ST456 Deep Learning (0.5) #

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

FM402 Financial Risk Analysis (0.5) #

FM404 Advanced Financial Economics (0.5)

FM413 Fixed Income Markets (0.5) #

FM429 Asset Markets A (0.5) #

FM441 Derivatives (0.5) #

FM442 Quantitative Methods for Finance and Risk Analysis (0.5) #

MA407 Algorithms and Computation (0.5) #

MA415 The Mathematics of the Black and Scholes Theory (0.5)

MA416 The Foundations of Interest Rate and Credit Risk Theory (0.5)

MA420 Topics in Financial Mathematics (0.5) #

MA427 Nonlinear Optimisation and Applications (0.5) #

MY456 Survey Methodology (0.5) #

MY457 Causal Inference for Observational and Experimental Studies (0.5) #

MY459 Computational Text Analysis and Large Language Models (0.5) #

MY461 Social Network Analysis (0.5)

Footnotes

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

A: Paper 5: Or other non-ST course(s), with permission

The total value of all non-ST courses should not exceed one unit.

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