Study cover for Mathematics and Finance
M.Sc. On Campus

Mathematics and Finance

University of Essex

12 months
Duration
18800 GBP/year
8760 GBP/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

One of our most popular courses, MSc Mathematics and Finance at the University of Essex 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.

Visit the official programme website for more information

Overview

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.

Your future

There is undoubtedly a shortage of mathematicians in general, and an even greater one of those with knowledge of finance.

The Mathematics and Finance course at the University of Essex  produces graduates with a sound background in mathematics and finance. Key employability skills include computing, use of algorithms, data analysis, mathematical modelling and understanding financial statements.

Our graduates are highly sought after by a range of employers and find employment in financial services, scientific computation, decision making support and government, risk assessment, statistics, education and other sectors.

We also offer supervision for PhD, MPhil and MSc by Dissertation. We have an international reputation in many areas such as semi-group theory, optimisation, probability, applied statistics, bioinformatics and mathematical biology, and our staff are strongly committed to research and to the promotion of graduate activities.

Programme Structure

Courses include:

  • Combinatorial Optimisation
  • Mathematics of Portfolios
  • Statistical Methods
  • Stochastic Processes
  • Financial Derivatives
  • Research Methods

Key information

Duration

  • Full-time
    • 12 months
  • Part-time
    • 24 months

Start dates & application deadlines

More details

We recommend that you apply as soon as you are able to .

Credits

180 alternative credits

Delivered

On Campus

Academic requirements

GPA admission requirements GPA
Lower Second Class

Other requirements

General requirements

  • A 2:2 degree in one of the following subjects: Mathematics, Statistics, Operational research, Finance, Economics, Business Engineering, Computing, Biology, Physics or Chemistry.
  • Will consider applicants with a unrelated degree but which contained at least three modules in calculus, algebra, differential equations, probability & statistics, optimisation or other mathematical modules.
  • Applicants with a degree below a 2:2 or equivalent will be considered dependent on any relevant professional or voluntary experience, previous modules studied and/or personal statement.

Tuition Fee

To alway see correct tuition fees
  • International

    18800 GBP/year
    Tuition Fee
    Based on the tuition of 18800 GBP per year during 12 months.
  • National

    8760 GBP/year
    Tuition Fee
    Based on the tuition of 8760 GBP per year during 12 months.

Living costs for Colchester

660 - 1140 GBP /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Fresh content

Updated in the last year

Check the official programme website for potential updates.

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Mathematics and Finance
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University of Essex

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