Taught course

Financial Mathematics

Institution
University of Liverpool · Department of Mathematical Sciences
Qualifications
PGDipPGCertMSc

Entry requirements

You will need a good first degree (2:1 Honours degree or equivalent) in Mathematics, Physics, Engineering or a subject with substantial mathematics.

Months of entry

September

Course content

This cutting edge MSc programme will equip you with the mathematical, financial and computational skills needed to quantify and manage risk effectively in today’s finance, investment and insurance industries. Such companies use advanced probabilistic models at the core of their business. They recruit people with the right mathematical, statistical and programming skills and financial knowledge who can understand, develop and implement such models.

The course is also an excellent preparation for students wishing to embark upon research degree (PhD) in financial or actuarial mathematics. Working professionals who would like to move from their current field into finance or for finance professionals who would like to take their careers to the next level will also benefit greatly from this course.

You will gain a strong understanding of:

  • applied probability theory, stochastic analysis and mathematical modelling
  • computational methods
  • financial derivatives
  • risk management methodologies
  • financial econometrics

Qualification, course duration and attendance options

  • PGDip
    full time
    12 months
    • Campus-based learningis available for this qualification
  • PGCert
    full time
    12 months
    • Campus-based learningis available for this qualification
  • MSc
    full time
    12 months
    • Campus-based learningis available for this qualification

Course contact details

Name
Dr Hirbod Assa
Email
assa@liverpool.ac.uk