MSc in Quantitative Methods for Risk Management
Programme code: TMQMRM
Department: Statistics
(formerly MSc in Risk and Stochastics)
This information is for the 2017/18 session.
Guidelines for interpreting programme regulations
Classification scheme for the award of a taught master's degree (four units)
Exam sub-board local rules
Students take five compulsory half unit courses and one and a half units of optional courses.
Students are required to take a two-week compulsory introductory course MA400 September Introductory Course (Financial Mathematics) in September.
Paper |
Course number and title | |
---|---|---|
1 |
Stochastic Processes (H) | |
2 |
Statistical Methods for Risk Management (H) | |
3 |
Computational Methods in Finance and Insurance (H) * | |
4 |
Stochastics for Derivatives Modelling (H) | |
5 |
Recent Developments in Finance and Insurance (H) | |
6 |
One of the following: | |
|
Probability and Measure (H) | |
The Foundations of Interest Rate and Credit Risk Theory (H) | ||
Quantifying Risk Modelling and Alternative Markets (H) | ||
Time Series (H) | ||
Applied Stochastic Processes (H) | ||
Advanced Probability Theory (H) | ||
Financial Statistics (H) | ||
Introduction to Markov Processes and Their Applications (H) | ||
Machine Learning and Data Mining (H) | ||
Insurance Risk (H) (not available 2017/18) | ||
7 & 8 |
Two of the following: | |
|
Forecasting Financial Time Series (H) | |
Derivatives (H) | ||
Quantitative Methods for Finance and Risk Analysis (H) § | ||
Continuous Time-Optimisation (H) | ||
Further half unit(s) from those courses listed under Paper 6 above. | ||
Further half unit(s) from other appropriate MSc courses, subject to the approval of the Programme Director and the Teacher responsible for the course. | ||
Notes |
* Students taking this course can also take a non-assessed non-compulsory course MA432 Programming in C++. |
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.