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Heriot Watt University

Edinburgh , Scotland ,United Kingdom

MSc Quantitative Finance and Mathematics

This master's in Quantitative Finance and Mathematics course introduces innovative modern mathematical techniques and financial modeling. It focuses on probability and stochastics, which are often not included in standard mathematics degrees. It’s been designed to include the practical and pragmatic aspects of mathematical finance – offering you relevant and modern skills relating to structured finance in demand in the UK and internationally. The aim is to understand, both quantitatively and qualitatively, the risks and uncertainty involved. And, the wide range of optional courses offers you the chance to tailor your learning experience to suit your interests.

Campus Information

Edinburgh Campus

Our Edinburgh Campus is truly international. Over 10,500 staff and students are based here, with around a third of them coming from outside the UK. Our international students find a warm and friendly welcome and all the support they might need.

Intakes

  • Sep

Application Processing Time in Days: 30

Application Process

Visa Process
30 Days

Minimum English Language Requirements

English Level Description IELTS (1.0 -9.0) TOEFL IBT (0-120) TOEFL CBT (0-300) PTE (10-90)
Expert 9 120 297-300 86-90
Very Good 8.5 115-119 280-293 83-86
Very Good 8 110-114 270-280 79-83
Good 7.5 102-109 253-267 73-79
Good 7 94-101 240-253 65-73
Competent 6.5 79-93 213-233 58-65
Competent 6 60-78 170-210 50-58
Modest 5.5 46-59 133-210 43-50
Modest 5 35-45 107-133 36-43
Limited 4 32-34 97-103 30-36
Extremely Limited < 4 < 31 < 93 < 30

Job Opportunity Potential

Students who graduate from the programme will have excellent employment prospects that are not restricted to any one narrow sector of financial services. 

PSW Opportunity

  • 2 Years PSW is applicable after the course completing (Bachelors level or above).

Admission Requirement / Eligibility Criteria

  • Entry is aimed at graduates with strong mathematical knowledge and skills. A good honours degree in mathematics, statistics or a related subject with a substantial mathematical content is required. Motivation and a willingness to work hard are also important pre-requisites.
  • We are looking to train those who not only have a strong background in mathematics, but who also possess the ability to communicate effectively, and have the desire to succeed in a dynamic and competitive industry.

The programme is not suitable for finance professionals without graduate-level mathematical training.

 

For More Information Please Contact to Our Counselor.