Corporate and Financial Risk Management - MSc


University of Sussex    School of Mathematical and Physical Sciences

Full time September MSc 1 year full time
Business & Management (5) Finance (14) Mathematics (25)

FindAMasters summary

The MSc in Corporate and Financial Risk Management at the University of Sussex offers a comprehensive programme that equips students with the knowledge and skills to thrive in the dynamic corporate world. With a focus on risk management in business and the application of mathematics to financial risk analysis, this course provides a strong foundation for career success. Students have the option to choose between practice- or research-oriented study, and can delve into topics such as programming or statistics. The programme also benefits from the expertise of industry professionals and offers diverse module options to tailor the course to individual interests. Entry requirements include a 2.2 undergraduate honours degree or above, preferably with a mathematics background. Graduates emerge ready for versatile careers in banking, investment, hedge funds, financial software development, and risk management.

About the course

On this course, you’ll:

  • gain an understanding of the main aspects of risk management in business
  • apply mathematics to financial risk description, analysis and quantification
  • experience Sussex’s strong foundation of interdisciplinary research.

The MSc draws on expertise from industry professionals, so you’ll gain the knowledge and skills to succeed in the fast-paced corporate world. Topics covered include quantitative analysis, regulation, implementation and management structure. You’ll have a choice between practice- and research-oriented study and can explore further topics including programming or statistics.

Read more about this course

Entry Requirements

You should normally have a lower second-class (2.2) undergraduate honours degree or above.

Your qualification should have a reasonably high mathematics content, demonstrating knowledge in calculus, probability and statistics, and ideally some programming. You are suited to this course if your qualification is in mathematics, finance, economics, business, science, engineering or computing. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.




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