MSc/PG Dip Operational Research and Finance: University of Southampton
- Degree
- MSc/PG Dip
- Address
- MSc/PG Dip Operational Research and Finance: University of Southampton, School of Mathematics, University of Southampton, Highfield, Southampton, SO17 1BJ, Southampton, United Kingdom
- Ads
-
- Subject
-
Mathematics and Statistics
- Course Language(s)
- English
- Course Beginning
- October
- Duration
- 1 year full-time; 2 years part-time
- Scholarship and Grants
http://www.southampton.ac.uk/maths/gradu...
- Telephone
- +44 (0)23 8059 3651
- Fax
- +44 (0)23 8059 5147
- E-mail
enqu...@maths.soton.ac.uk
- Website
- http://www.southampton.ac.uk/maths
Course Description
This programme in Operational Research (OR) and Finance is designed to provide a firm grounding in financial knowledge suitable for a career in financial institutions, while combining this with training in a broad range of additional numerate skills covering mathematical modelling and optimization.
This programme, linked to the School of Management's MSc Management Sciences and Finance, offers a firm grounding in finance in preparation for a career in financial institutions. You will develop an understanding of how OR, statistical and optimisation techniques are applied to practical problems, and will acquire many key workplace skills. A three-month industrial placement follows successful completion of the instructional component.
Programme Structure
Compulsory modules
- Corporate finance
- Deterministic OR methods
- Presenting reports
- Spreadsheet and database modelling
- Statistical methods
- Stochastic OR methods
- Visual basic for applications
Optional modules
- Constraint satisfaction
- Consultancy skills
- Credit scoring and data mining
- Economics
- Financial portfolio theory
- Financial risk management
- Forecasting
- Game theory
- Project management
- Trends in IT
Entry requirements
- Upper second-class honours degree or equivalent in a subject involving a significant amount of quantitative work (e.g. computer science, economics, engineering, mathematics, physics, statistics), or relevant work experience
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