Msc mathematical finance mathematical sciences|economics and finance

Queen Mary University of London
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Description

  • Type

    Postgraduate

  • Location

    London

Overview
The MSc in Mathematical Finance is a specialist master’s degree designed to equip talented individuals with the skills necessary for a successful career in banking and the financial markets.
Specifically, the programme provides in-depth training for professional roles such as quantitative analysis, trading, financial engineering and structuring, risk management, and software development. Business sectors include investment and commercial banking, fund management, the insurance business, and hedge funds.
The programme is taught jointly by the School of Mathematical Sciences and the School of Economics and Finance, leveraging on the expertise of both departments. It features a wide range of compulsory and elective modules, as well as the opportunity to undertake a significant project in an area of interest. The MSc is offered full-time over one year or part-time over two years, and is assessed by a combination of coursework, examinations and a project dissertation.
This programme will:
Introduce you to the mathematics used by practitioners in the field.
Provide you with a rigorous training and strong analytical and quantitative skills in finance.
Cover a wide range of analytical tools applied in quantitative asset pricing and financial derivatives.
Why study your MSc in Mathematical Finance at Queen Mary?
All the modules on the MSc programme are designed and taught by experts in the field, many of whom have held key positions in financial institutions; they will give you the insights on how to develop a successful career in finance.
You will be able to develop and refine many of the skills that are actually used inside investment banks, by undertaking a significant, applied project over the summer under the personal supervision of an experienced member of staff.
You will study in recently refurbished MSc student offices, with state-of-the-art computers and software. We also offer access to Bloomberg terminals.
Maximising your employability

Facilities

Location

Start date

London
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67-69 Lincoln'S Inn Fields, WC2A 3JB

Start date

On request

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Reviews

4.0
  • From the start to finish they served excellence.
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100%
4.9
excellent

Course rating

Recommended

Centre rating

Student

4.0
24/03/2019
About the course: From the start to finish they served excellence.
Would you recommend this course?: Yes
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This centre's achievements

2019

All courses are up to date

The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 14 years

Subjects

  • GCSE Mathematics
  • Financial Derivatives
  • Derivatives
  • Financial Training
  • IT risk
  • Full Time
  • Part Time
  • Project
  • School
  • Financial
  • Finance
  • Banking
  • Economics
  • Mathematics
  • Investment
  • Trading
  • Risk Management
  • Risk

Course programme

Structure

The MSc in Mathematical Finance is available to study full-time for one year, or part-time over two years.

Two compulsory mathematics modules run by the School of Mathematical Sciences will cover the most important mathematical techniques used in mathematical finance. Two compulsory economics modules will cover the relevant financial instruments, and will be run by the School of Economics and Finance. You can choose elective modules from a list offered by the two schools.

Semester A
  • MTH790P Programming in C++ for Finance
  • MTH771P Foundations of Mathematical Modelling in Finance
  • ECOM065 Investments
  • ECOM014 Time Series Analysis
Semester B

Choose any four from:

  • MTH773P Advanced Computing in Finance
  • ECOM076 Alternative Investments
  • ECOM059 Applied Risk Management for Banking
  • ECOM074 Bond Market Strategies
  • ECOM091 Credit Ratings
  • ECOM026 Financial Derivatives
  • ECOM025 Financial Econometrics
  • ECOM135 Machine Learning Applications for Finance
  • MTH774P Portfolio Theory & Risk Management
  • MTH772P Stochastic Calculus and Black-Scholes Theory
  • MTH789P Trading and Risk Systems Development
  • ECOM077 Valuation and Private Equity
Semester C
  • MTH775P MSc Project and Dissertation

Study options Full-time

The full-time programme runs over one complete calendar year (September to September). In addition to attending lectures, tutorials, seminars and other taught activities, you will also need to devote significant time to independent learning and study. The total notional study time for this programme is approximately 35 hours per week on average (over 12 months), although the precise amount of time spent will vary from student to student.

Part-time

The part-time programme runs over two calendar years (September to September). In addition to attending lectures, tutorials, seminars and other taught activities, you will also need to devote significant time to independent learning and study. The total notional study time for this programme is approximately 17.5 hours per week on average (over 24 months), although the precise amount of time spent will vary from student to student. Please be aware that teaching generally takes place during the daytime, and applicants who have other commitments are encouraged to contact the Programme Director in advance of the start of the programme, to discuss when the teaching sessions are likely to take place.

Contact

Postgraduate Taught Programmes Officer, School of Mathematical Sciences
Tel: +44 (0)20 7882 5468
Email:

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Msc mathematical finance mathematical sciences|economics and finance

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