MSc in Statistics (Financial Statistics)
Programme Code: TMSTFS
Department: Statistics
For students starting this programme of study in 2017/18
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) and options to the value of two units.
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) # and ST422 Time Series (0.5) # | |
Paper 3 |
Courses to the value of 1.0 unit(s) from the following: | |
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ST411 Generalised Linear Modelling and Survival Analysis (0.5) # | |
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ST418 Non-Linear Dynamics and the Analysis of Real Time Series (0.5) # (not available 2020/21) | |
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ST421 Developments in Statistical Methods (0.5) # (withdrawn 2018/19) | |
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ST426 Applied Stochastic Processes (0.5) (not available 2020/21) | |
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ST427 Insurance Mathematics (0.5) (withdrawn 2017/18) | |
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ST433 Computational Methods in Finance and Insurance (0.5) # | |
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ST435 Advanced Probability Theory (0.5) # (withdrawn 2019/20) | |
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ST439 Stochastics for Derivatives Modelling (0.5) # (not available 2020/21) | |
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ST440 Recent Developments in Finance and Insurance (0.5) # (not available 2020/21) | |
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ST441 Introduction to Markov Processes and their Applications (0.5) # (withdrawn 2019/20) | |
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ST442 Longitudinal Data Analysis (0.5) # (not available 2020/21) | |
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Paper 4 |
Courses to the value of 1.0 unit from the following: | |
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ST411 Generalised Linear Modelling and Survival Analysis (0.5) # | |
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ST418 Non-Linear Dynamics and the Analysis of Real Time Series (0.5) # (not available 2020/21) | |
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ST421 Developments in Statistical Methods (0.5) # (withdrawn 2018/19) | |
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ST426 Applied Stochastic Processes (0.5) (not available 2020/21) | |
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ST427 Insurance Mathematics (0.5) (withdrawn 2017/18) | |
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ST433 Computational Methods in Finance and Insurance (0.5) # | |
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ST435 Advanced Probability Theory (0.5) # (withdrawn 2019/20) | |
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ST439 Stochastics for Derivatives Modelling (0.5) # (not available 2020/21) | |
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ST440 Recent Developments in Finance and Insurance (0.5) # (not available 2020/21) | |
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ST441 Introduction to Markov Processes and their Applications (0.5) # (withdrawn 2019/20) | |
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ST442 Longitudinal Data Analysis (0.5) # (not available 2020/21) | |
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FM404 Forecasting Financial time Series (0.5) # (not available 2020/21) or | |
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FM442 Quantitative Methods for Finance and Risk Analysis (0.5) # or | |
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MA415 The Mathematics of the Black and Scholes Theory (0.5) # or | |
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MA416 The Foundations of Interest Rate and Credit Risk Theory (0.5) # or | |
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MA420 Quantifying Risk and Modelling Alternative Markets (0.5) # or | |
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MY457 Causal Inference for Observational and Experimental Studies (0.5) # | |
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Or other non-ST course(s), with permission. | |
Footnotes
A : Statistics students taking EC484 will be required to register in early September in order to attend the econometrics component of the introductory course EC451. Students must pass an exam taken at the end of the introductory course in order to proceed to EC484.
# means there may be prerequisites for this course. Please view the course guide for more information.
The total value of all non-ST courses should not exceed one unit.
The Bologna Process facilitates comparability and compatibility between higher education systems across the European Higher Education Area. Some of the School's taught master's programmes are nine or ten months in duration. If you wish to proceed from these programmes to higher study in EHEA countries other than the UK, you should be aware that their recognition for such purposes is not guaranteed, due to the way in which ECTS credits are calculated.
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.
