Financial and Computational Mathematics, University of Nottingham

University of Nottingham the United Kingdom

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The award

How long you will study
1 Years

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How you will study

Course starts

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About Financial and Computational Mathematics at University of Nottingham

Develop your understanding of advanced financial mathematics, combining skills in computational techniques. This course will teach you how mathematical theories and techniques are applied across the financial sector.

You will be taught by experts from the School of Mathematical Sciences and the School of Economics. The MSc benefits from its own advisory board. It includes university staff and leading industry experts from Capital One and Bloomberg. The panel has an important role to ensure the course remains up-to-date with changes in quantitative finance. Representatives from the panel often provide guest lectures that you can attend throughout the year too.

Our staff are experts in advanced mathematical techniques. They provide support and one-to-one supervision during your dissertation. Enjoy hands-on practical experience using statistical software. This will develop your skills in mathematical modelling.

Scholarships are available for this masters to help support international students. If you meet the qualification criteria, you could entitled to up to £2,000 to help fund your studies.

The ability to think logically and critically combined with your problem-solving expertise gained on the course, will prepare you for future employment.

Core modules will focus on finance and computational techniques used across the sector. You will also choose options to specialise in your area of interest. You'll gain specialist knowledge and practical skills in your chosen pathway.

Study options for this course

  • The award How you will study How long you will study Course starts Domestic course fees International course fees
  • The awardMScHow you will studyFull-timeHow long you will study1 year
    Course startsSeptemberDomestic course fees find outInternational course fees find out

Entry requirements

2:1 (upper second class honours degree or international equivalent) in mathematics, physics or engineering. A strong mathematics background is essential and some computer programming experience would be useful; IELTS 6.5 (with no less than 6.0 in any element)

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