MSC Mathematical Finance

Full Time

MSC Mathematical Finance

University of Manchester
  • 1st year fees
  • CREDITS
  • Campus
    BASED
  • Masters
    DEGREE

Introduction

MSC Mathematical Finance is a Masters program taught at University of Manchester, UK. The program is offered in campus-based modes with full-time (12 Months. Full-Time) options.

MSc Mathematical Finance at the University of Manchester combines expertise from the Department of Mathematics and Alliance Manchester Business School. Students study mathematical finance from both mathematical and economic perspectives, developing advanced quantitative knowledge in topics including derivative securities, asset pricing, stochastic calculus, computational finance and stochastic modelling.

Teaching uses a combination of lectures, seminars, case studies and group project work, with teaching shared across Mathematics and Alliance Manchester Business School. The programme includes an original dissertation project and prepares students for quantitative careers in finance or further research, with graduates progressing into areas including risk, analytics, software and doctoral study.

Admission Requirements

The minimum requirements for admission in MSC Mathematical Finance at University of Manchester for all applicants (Domestic or International) are:

  • program specific academic requirment set by University of Manchester.
  • English Language OR any other language requirments as set by University of Manchester as pre-requiste for admission in MSC Mathematical Finance.

Note: Please check the university website in the link below.

The normal entry requirements are a good upper second or first class honours degree from a UK university, or the equivalent from an overseas university, in Mathematics, or in a subject with significant mathematical content.

  • A good background in Probability Theory is essential; for example two courses in Probability, Probability 1 and Probability 2.
  • Knowledge of Statistics is desirable but not essential, for example Introduction to Statistics.
  • Knowledge of measure-theoretical Probability and/or measure theory is desirable as well.
  • Knowledge of real analysis is essential and of complex analysis is desirable.
  • Knowledge of basic calculus, for example Calculus and Vectors A, and ordinary differential equations is essential.
  • Knowledge of partial differential equations is highly desirable.
  • Although there is no formal requirement for previous programming experience, a familiarity with writing computer programs (for example, in Python, MATLAB, C/C++ or Java) is desirable.
  • IELTS: at least 6.5 overall with 6.5 in writing and no other sub-test less than 6.0.
  • TOFEL iBT: at least 90 overall with 22 or above in writing and no other sub-test less than 20. We do not accept 'MyBestScore'.
  • Pearson PTE: 70 overall with 70 in writing and no sub-test below 64.

More Information

  • Risk
  • Analytics
  • Software
  • Doctoral study

Scholarships

85 fully funded scholarships are listed for UK. See UK scholarships.

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