Numerical Techniques for Finance Masters (MSc)

Duration: 1 year full-time

This course has a start date in September


This course offers a strong grounding in modern scientific computation, with applications in finance focussing on derivatives (options) and will assist students intending to move into careers where computational methods play a significant role, including those with a strong quantitative finance element. 

Academics from the School of Mathematics will be joined in teaching by academics from the Business School. Students will gain experience of the type of problems encountered by academics and quantitative practitioners, both via taught courses and project work on an individual and group basis. Written and oral presentations will be undertaken at various stages of the course.

A substantial individual project will be undertaken, developing students' ability to engage in independent learning. The project will form the basis of the students' written dissertations. Other skills that students should develop include the ability to think logically and critically, problem-solving expertise, competent use of relevant software, and effective communication of results.

Entry requirements:2.1 (upper second class honours degree or international equivalent)
Including:Good Mathematical background essential, subjects including Mathematics, Physics, Computer Science or Engineering
Other requirements:Applicants with a 2.2 (lower second class honours degree or international equivalent) with substantial mathematical content may be considered.
IELTS:6.5 (no less than 6.0 in any element)
TOEFL IBT:87 with no less than 21 in listening, 22 in reading, 23 in speaking and 21 in writing

Key facts

  • This particular course is offered in collaboration with the School of Computer Science and Nottingham University Business School
  • The School of Mathematical Sciences is one of the largest and strongest mathematics departments in the UK, with over 50 full-time academic staff
  • In the latest independent Research Assessment Exercise, the School ranked 8th in the UK in terms of research power across the three subject areas within the School of Mathematical Sciences (pure mathematics, applied mathematics, statistics and operational research)
  • In the last independent Teaching Quality Assessment, the School scored 23 out of 24

Disclaimer


The courses and research opportunities listed on this website are subject to change. While we will do all we can to ensure the information on these pages is accurate and up-to-date, The University of Nottingham reserves the right to change the content, modules and titles of any courses and research opportunities listed here without prior warning.

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Professor Andrew Cliffe
School of Mathematical Sciences
University of Nottingham
University Park
Nottingham
NG7 2RD




t: +44 (0)115 846 8287

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