Studyportals

Financial and Computational Mathematics

University of Nottingham

M.Sc.
12 months
Duration
24390 GBP/year
12060 GBP/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

The Financial and Computational Mathematics course at the the University of Nottingham focuses on the mathematical modelling and computational techniques used in the financial industry, as well as the required background in finance.

Overview

The MSc in Financial and Computational Mathematics at the University of Nottingham is a branch of mathematics where advanced mathematical and statistical methods are developed for and applied to financial markets and financial management. Its main aims are to quantify and hedge risks in the financial marketplace.

Applicants should have a solid background in mathematics including calculus, linear algebra, ordinary differential equations and basic techniques used in probability and statistics.

Effective computational methods are crucial for the successful use of mathematical modelling in finance. This course is designed to reflect this combination of knowledge and skills so that graduates are well equipped to enter the competitive job markets of quantitative finance and related fields. Optional modules also equip graduates with foundations of data analytics.

Careers and professional development

This course offers a solid grounding in financial mathematics and will prepare you for quantitative roles in banks and other financial institutions dealing with risk analysis and management. 

The course also provides training suitable for admission on PhD programmes in financial mathematics and quantitative finance. You will gain experience of the type of problems encountered by academic and qualitative practitioners, both via taught courses and project work on an individual and group basis.

Programme Structure

Courses include:

  • Advanced Financial Mathematics
  • Computational Applied Mathematics
  • Financial Mathematics
  • Financial and Computational Mathematics Dissertation
  • Scientific Computing and C++

Key information

Duration

  • Full-time
    • 12 months

Start dates & application deadlines

Language

English

Credits

180 alternative credits

Delivered

On Campus

Academic requirements

GPA admission requirements GPA Your GPA, or Grade Point Average, is a number that indicates how well or how high you scored in your courses on average. Usually a GPA scales between 1.0 and 4.0, however different countries and universities can have different grading systems.
Upper Second Class
Lower Second Class (recommended)

English requirements

TOEFL admission requirements TOEFL® IBT The TOEFL iBT® is given online through the internet at designated testing site. The test measures your English-language abilities in an academic setting. The score refers to the total score of 4 subjects (writing, listening, speaking, and reading), each subject has a range of 0 - 30.
87
IELTS admission requirements IELTS The International English Language Test System (IELTS) tests your English-language proficiency on a scale of 1 – 9. The score refers to the combined average score of 4 subjects (writing, listening, speaking, and reading).
6.5

Other requirements

General requirements

  • 2:1 (or international equivalent) in mathematics, physics or engineering; a strong mathematics background is essential
  • In exceptional cases, applicants holding a 2.2 (or international equivalent) with substantial mathematical content may be considered

Tuition Fee

  • International

    24390 GBP/year
    Tuition Fee
    Based on the original amount of 24390 GBP per year and a duration of 12 months.
  • EU/EEA

    12060 GBP/year
    Tuition Fee
    Based on the original amount of 12060 GBP per year and a duration of 12 months.

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.

Due for update

Updated over a year ago

Check the official programme website for potential updates.

Our partners

Financial and Computational Mathematics
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University of Nottingham

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