Overview
The MSc (Financial and Computational Mathematics) is a taught programme that may be taken full-time over 12 months from the date of first registration for the programme.
The Master's Degree consists of 90 credits consisting of taught modules for a total of 60 credits and a dissertation for a total of 30 credits.
Postgraduate Diploma in Financial and Computational Mathematics
Regulations regarding progression from Part I to Part II can be found in Marks and Standards. Students who pass Part I but do not meet this requirement, or who choose not to progress to Part II, will exit the programme with the Postgraduate Diploma in Financial and Computational Mathematics.
Programme Requirements
For information about modules, module choice, options and credit weightings, please go to Programme Requirements.
Programme Requirements
Students take 90 credits as follows:
Module List
| Code |
Title |
Credits |
| |
| MF6010 | Probability Theory in Finance | 10 |
| MF6011 | Derivatives, Securities, and Option Pricing | 5 |
| MF6012 | Computational Finance I | 5 |
| MF6013 | Computational Finance II | 5 |
| MF6014 | Topics in Financial Mathematics | 5 |
| MF6015 | Continuous Time Financial Models | 5 |
| AM6004 | Numerical Methods and Applications | 5 |
| CS6322 | Optimisation | 5 |
| 15 |
| Scientific Computing with Numerical Examples (10) | |
| Partial Differential Equations (5) | |
| Data Analysis II (5) | |
| Machine Learning and Statistical Analytics I (5) | |
| Machine Learning and Statistical Analytics II (5) | |
| Introduction to Relational Databases (5) | |
| |
| MF6016 | Dissertation in Financial and Computational Mathematics | 30 |
| Total Credits | 90 |
Programme Learning Outcomes
Programme Learning Outcomes for MSc (Financial and Computational Mathematics) (NFQ Level 9, Major Award)
On successful completion of this programme, students should be able to:
1
1-1
Demonstrate technical competence in the computational aspects of financial mathematics;
1-2
2
Explain the theoretical basis of mathematical models and techniques used in financial applications;
1-3
3
Outline how this mathematical framework is influenced by the structure of financial markets
1-5
4
Identify the limitations of mathematical and statistical models applied to real-world scenariosa;
1-6
5
Apply appropriate programming languages and software packages to the analysis of problems and mathematical models arising in financial applications;
1-7
6
Conduct and complete a substantial mathematical research project, and defend their findings in front of one or more domain experts.
