Close icon

Personalise what you see on this page.

Choose from the options below. We'll show you information based on your current location as default.

I'M FROM

  • United States
Please select so we can show the most relevant content.

LIVING IN

  • United States
Please select so we can show the most relevant content.

LOOKING FOR

  • Undergraduate courses
Please select so we can show the most relevant content.
Viewing as a student from United States living in United States interested in Undergraduate courses

Course options

  • Qualification

    MSc - Master of Science

  • Location

    Cass Business School

  • Study mode

    Full time

  • Start date

    SEP-22

  • Duration

    1 year

Course summary

Learn skills used for quantitative modelling positions, from structuring to pricing complex derivatives and fixed income securities on our Financial Mathematics master's course.

Overview

Who is it for?

To successfully complete the Financial Mathematics postgraduate course, you must have a very good understanding of mathematics. You may well have studied maths, physics or engineering degrees as an undergraduate.

Or you might have a bachelor’s degree in economics or science and in particular computer science, which, coupled with your interest in stochastics, could also qualify you for this programme.

You should have a general interest in learning the more technical and mathematical techniques used in financial markets; but you don’t need to have a background in finance.

Objectives

The master's in Financial Mathematics focuses on stochastics and simulation techniques, but also covers some econometrics. You’ll study core modules covering asset pricing, risk management and an introduction to key financial securities such as equities, fixed income and derivatives.

Structure

What will you learn

  • You will have gained a very good understanding of the technical aspects used in financial markets, including wide ranging financial theory and different financial assets.
  • You will gain a good understanding of stochastic and mathematical finance and gained some knowledge of econometrics and forecasting. You will also have obtained a good understanding of programming, in particular Matlab.
  • From the MSc Financial Mathematics you will also understand how the theory is being applied in the financial industry and what practical issues are.

Career pathways

Career destinations for MSc Financial Mathematics

Our MSc Financial Mathematics master’s provides you with the opportunity to learn quantitative analysis using stochastic, technical risk management, fixed income security, preparing you for a variety of careers.

Our graduates are well qualified for successful careers within large investment banks, small specialist financial companies or boutique firms.

Application deadline

01 August 2022

Tuition fees

Students living in United States
(international fees)

£ 29,500per year

Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.

University information

City, University of London

  • University League Table

    54th

  • Campus address

    City, University of London, Northampton Square, City of London, EC1V 0HB, England

Nearly all degrees offer the opportunity of a work placement, a clinical placement or time studying abroad. Many offer professional accreditation.
A diverse and welcoming community with buddy schemes, active student societies, Students' Union, student counselling and an award-winning student centre.
Partnerships with more than 100 leading institutions across the globe bring exciting opportunities to study abroad and get international work experience.

Subject rankings

  • Subject ranking

    22nd out of 105 11

    49th out of 72 14

  • Entry standards

    / Max 220
    159 72%

    17th

    3
  • Graduate prospects

    / Max 100
    80.0 80%

    19th

    45
  • Student satisfaction

    / Max 5
    3.97 79%

    79th

    38
  • Entry standards

    / Max 236
    114 47%

    54th

    6
  • Graduate prospects

    / Max 100
    66.0 66%

    55th

    10
  • Student satisfaction

    / Max 5
    4.06 81%

    33rd

    8

Is this page useful?

Yes No

Sorry about that...

HOW CAN WE IMPROVE IT?

SUBMIT

Thanks for your feedback!