Operational Research and Finance

Entry requirements

First- or upper second-class degree or an equivalent standard in other qualifications approved by the University in a discipline that provides some quantitative training (eg computer science, economics, engineering, mathematics, physics, statistics).

Months of entry

September

Course content

This programme offers a firm grounding in operational research and finance in preparation for careers in financial institutions. You’ll develop understanding of how operational research, statistical and optimisation techniques are applied to practical problems and gain many key workplace skills. A three-month project follows successful completion of the instructional component. The majority of projects involve either working on a placement or in partnership with a company or organisation.

Compulsory modules: Corporate Finance; Data Analytics; Deterministic Operational Research (OR) Methods; Presenting Reports; Statistical Methods; Stochastic OR Methods; Visual Basic for Applications.

Optional modules include: Credit Scoring and Data Mining; Financial Portfolio Theory; Financial Risk Management; Forecasting; Game Theory in Business; Nonlinear Optimisation; Data Visualisation.

Plus dissertation as three-month project (MSc only)

For further information, please visit our website.

Information for international students

https://www.southampton.ac.uk/uni-life/international.page

Fees and funding

https://www.southampton.ac.uk/uni-life/fees-funding/pg-fees-funding.page

Qualification and course duration

MSc

PGDip