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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