Taught course

Mathematics and Finance

University of Essex · School of Mathematics, Statistics and Actuarial Science

Entry requirements

A 2:2 degree in one of the following subjects:

  • Applied Mathematics
  • Biostatistics
  • Computer Science
  • Economic Statistics
  • Economics
  • Mathematics
  • Operational Research
  • Pure Mathematics
  • Statistics


Any other 2.2 degree in any subject which includes three modules from the below lists:

  • One module, from:
  • Advanced Maths (I/II/III)
  • Calculus (AKA Mathematical Analysis)
  • Engineering Maths (I/II/III)
  • Maths (I/II/III)


  • One module, from:
  • Advanced Maths (I/II/III)
  • Engineering Maths (I/II/III)
  • Maths (I/II/III)
  • Statistics or Probability


  • One additional relevant module, from:
  • Advanced Maths (I/II/III)
  • Algebra
  • Analysis
  • Complex Numbers
  • Differential Equations
  • Engineering Maths (I/II/III)
  • Maths (I/II/III)
  • Numerical Methods
  • Optimisation (Linear Programming)
  • Programming Language (R or Matlab or Python)
  • Regression
  • Another module in Probability or Statistics
  • Stochastic Process

Applicants with a degree below 2:2 or equivalent will be considered dependent on any relevant professional or voluntary experience and previous modules studied.

Months of entry


Course content

One of our most popular courses, MSc Mathematics and Finance allows those with a background in mathematics to study finance. Since finance routinely involves modelling and evaluating risk, asset pricing and price forecasting, mathematics has become an indispensable tool for this study.

You explore topics including:

  • Models and mathematics in portfolio management
  • Risk management in modern banking
  • Financial modelling
  • Actuarial modelling
  • Applied statistics

In recent years, finance has been one of the areas where high-calibre mathematicians have been in great demand. With the advent of powerful and yet economically accessible computing, online trading has become a common activity, but many have realised that a certain amount of mathematics is necessary to be successful in such fields.

Our interdisciplinary research recognises that mathematics, including what can be very abstract mathematics, is an essential part of research in many other disciplines.

Our School of Mathematics, Statistics and Actuarial Science has an international reputation in many areas including semi-group theory, optimisation, probability, applied statistics, bioinformatics and mathematical biology.

Information for international students

English language requirements

If English is not your first language, we require IELTS 6.0 overall with a minimum component score of 5.5 in all components.

Qualification, course duration and attendance options

  • MSc
    part time
    24 months
    • Campus-based learningis available for this qualification
    full time
    12 months
    • Campus-based learningis available for this qualification
  • PGDip
    full time
    9 months
    • Campus-based learningis available for this qualification

Course contact details

Postgraduate Admissions