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Financial and Computational Mathematics
Master of Science of Financial and Computational Mathematics
Master of Science of Financial and Computational Mathematics

Master of Science of Financial and Computational Mathematics

  • ID:UN440336
  • Level:Master's Degree
  • Duration:
  • Intake:
  • Type:Full-time

Fees (GBP)

  • TuitionFee/Year:£26,500.00
  • LivingFee/Year:£12,000.00
  • InsuranceFee/Year:£300.00
  • TuitionFee/Year:£26,500.00
  • LivingFee/Year:£12,000.00
  • InsuranceFee/Year:£300.00
Estimated Total/program:
£38,800.00
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Admission Requirements

Entry Requirements

Undergraduate degree :2:1 in mathematics, physics or engineering.For information on entry requirements from your country, choose it below.

English Requirements

  • IELTS 6.5 (no less than 6.0 in each element) or
  • PTE 71 (with a minimum of 65 in each element) or
  • TOEFL (iBT) 87 (minimum 20 in Speaking and 19 in all other elements) 

Other Requirements

  • A strong mathematics background is essential.
  • In exceptional cases, applicants holding a 2.2 (or international equivalent) with substantial mathematical content may be considered.

Course Information

The course teaches advanced financial mathematics combined with computational techniques. You'll learn mathematical techniques and skills that are used across the financial sector to quantify and hedge risk. Practical experience of using computational and statistical software will develop your skills in mathematical modelling.

This MSc at Nottingham can provide many career opportunities in sectors including:

  • investment and commercial banking
  • quantitative and actuarial analysis
  • hedge fund management
  • research in academia and industry

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Core modules

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

Optional stream 1: Mathematics, Statistics and Computing

  • Optimization
  • Statistical Foundations
  • Statistical Machine Learning
  • Time Series and Forecasting

Optional stream 2A: Econometrics
The focus of this stream is on econometrics. It provides advanced knowledge on mathematical and statistical methods applied in economics and finance. Some modules are taught by the School of Economics.

  • Econometric Theory
  • Financial and Macro Econometrics
  • Game Theory
  • Mathematics for Engineering Management
  • Time Series Econometrics

Optional stream 2B: Microeconomics
The focus of this stream is on microeconomics, with Economics and Finance modules offered by the School of Economics. They are complemented by modules providing advanced knowledge on mathematical methods offered by the School of Mathematical Sciences.

  • Economics of Corporate Finance
  • Game Theory
  • Mathematics for Engineering Management
  • Microeconomics: Consumer and Firm Behaviour
  • Macroeconomics: Economic Cycles, Frictions and Policy
  • Monetary Theory and Practice

Optional stream 2C: Big data economics
Learn more about the growth in big data and how to interpret the outputs from an economic perspective.

  • Big Data Economics
  • Game Theory
  • Machine Learning for Economics
  • Mathematics for Engineering Management
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Pre Courses

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Pathway Courses

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Career Opportunity

Career Opportunity

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

Our graduates have gone on to work as business analysts, data scientists and trading analysts.

They work for organisations across the UK and worldwide:

  • Capital One (UK)
  • Capitalab
  • Bloomberg (Hong Kong)
  • Deloitte
  • DRW
  • HSBC (Hong Kong)

The course also provides suitable training for a PhD in areas such as financial mathematics, quantitative finance, applied mathematics.

Ability to settle

Overseas Student Health Cover

Insurance-Single: 300 GBP/year

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