MSc Mathematical Finance

University of York

Master

Online

Price on request

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Description

  • Type

    Master

  • Methodology

    Online

  • Duration

    Flexible

  • Start date

    Different dates available

  • Online campus

    Yes

  • Delivery of study materials

    Yes

  • Support service

    Yes

  • Virtual classes

    Yes

Taught entirely online, our MSc in Mathematical Finance will give you the skills you need to work in the financial sector and adapt quickly to new developments in the field.

This distance learning programme builds on the strength and success of the campus-based MSc Mathematical Finance. You'll develop your skills and competence in mathematical and quantitative finance in a flexible learning environment, suitable for a diverse range of students from across the world.

Our team of dedicated academic staff are leaders in their field, and you'll work closely with them through regular one-to-one online tutorials and supervisory sessions.

If you'd like to study this course but feel the need to revise and consolidate your mathematics background before starting, we offer an online pre-sessional course: Mathematics for Quantitative Finance.

Facilities

Location

Start date

Online

Start date

Different dates availableEnrolment now open

About this course

Communicate ideas and arguments in written and oral form in a clear and rigorous manner.
Apply and implement results in current literature in a practical context.

Upon successful completion of this course, you can embark on careers in trading and pricing derivative financial securities (options, futures, forwards, and the like), fund management, risk management, research and development, or pursue further study to PhD level.

Career opportunities
Our graduates go on to work in:

investment banks
hedge funds
insurance companies
stock brokerage
unit trusts
pension funds
corporate finance departments
other financial institutions worldwide

Undergraduate degree
2:1 or equivalent in Mathematics or a related subject including certain science degrees.In certain cases we may also consider a 2:2, which would usually come with the condition that you complete the online pre-sessional course in Mathematics for Quantitative Finance with a final grade of at least 60%. If your undergraduate degree is in business, finance or economics with sufficiently strong mathematics background (equivalent to at least two years of university level mathematics courses), then we encourage you to apply also.

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Subjects

  • Risk
  • Induction
  • Quantitative Finance
  • Finance
  • IT risk
  • Mathematical
  • Methods
  • Portfolio Theory
  • Risk Management
  • Numerical
  • Computing Techniques

Course programme

Course content

You'll complete modules to the value of 180 credits, including core taught modules and a dissertation.

The online degree is split into three stages:
  • Certificate Stage
  • Diploma Stage
  • Dissertation Stage
You'll need to complete all three stages to achieve the MSc, but you can exit earlier with either a Postgraduate Certificate or Postgraduate Diploma, depending on your progress.

Modules

Induction period

The induction period introduces you to teaching and learning using the online system. It carries no credits.

Certificate Stage

Core modules:
  • Mathematical Methods of Finance (20 credits)
  • Discrete Time Modelling and Derivative Securities (20 credits)
  • Portfolio Theory and Risk Management (20 credits)
Diploma Stage

Core module:
  • Stochastic Calculus and Black-Scholes Theory (20 credits)
Choose two of the following options:
  • Numerical and Computing Techniques in Finance (20 credits)
  • Modelling of Bonds, Term Structure and Interest Rate Diversities (20 credits)
  • Credit Risk (20 credits)
Dissertation
  • Mathematical Finance Dissertation (60 credits)
You'll be provided with a list of topics to choose from, or you can propose your own topic (subject to approval). Dissertation topics are unique for each student, and are typically based on recent publications in leading journals or preprints by leading researchers in the field of mathematical/quantitative finance.
Previous topics include:
  • Construction of martingale measures by maximizing entropy
  • Continuous time limit of the binomial model
  • Estimating volatility using ARCH models
  • Optimal investments using utility functions
  • Liquidity risk by means of VaR
  • Valuation of companies
  • Coherent risk measures
  • Conditional Value at Risk
  • Computer simulations of interest rate models
Throughout the dissertation process you'll submit drafts and received detailed written feedback. You'll have regular one-to-one meetings with your supervisor to discuss the drafts and feedback, review progress and receive advice on any problems you may encounter.

Additional information

Length

18 months part-time,
36 months part-time

Annual tuition fees for 2021/22

Part-time, distance learning (18 months) - £6,330
Part-time, distance learning (3 years) - £6,330

See related categories

  • Mathematics Postgraduate Degrees
  • Distance learning Mathematics Postgraduate Degrees
  • University of York Postgraduate Degrees

MSc Mathematical Finance

Price on request

The best Mathematics courses

See all

See all