Mathematics and Financial Modelling (MSc)
Master
In London
Description
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Type
Master
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Location
London
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Duration
1 Year
The MSc Mathematics and Financial Modelling offers you the opportunity to increase your knowledge and abilities in pure, applied and financial mathematics. A wide choice of modules allows you to study several different topics in depth and to focus on the areas that interest you most. Finance options include the Mathematics of Financial Derivatives and Financial Data Science with Python.
You will learn key mathematical research skills and methods, including how to conduct a literature search, how to read mathematical papers, and how to communicate your ideas and findings, both in writing and orally. The programme includes a dissertation that allows you to engage in a sustained investigation of an area that interests you within statistics and/or finance, implementing what you have learned from the taught modules on the programme and combining this knowledge with new research and analysis.
You will also acquire the skills to pursue your interests in mathematics and financial modelling to a higher level and beyond the classroom, whether for a formal MPhil/PhD research degree, for your career, or simply because you have a passion for the subject.
Our students really appreciate the flexibility of this programme and the valuable support and direct interaction (face-to-face or online) with experienced lecturers who are also active researchers at the forefront of their discipline.
Whichever route you decide to take with our MSc Mathematics and Financial Modelling, you will gain access to resources for each module via our Moodle virtual learning environment, for example, typed lecture notes with worked examples and practice exercises, recordings of lectures, opportunities for interaction with lecturers and classmates via discussion forums or through our online teaching platform, Blackboard Collaborate. You will also have access to electronic textbooks and other digital resources via the library.
Facilities
Location
Start date
Start date
About this course
Graduates can pursue careers in the financial sector, actuarial profession, IT and computing, teaching and academia. Possible professions include actuary, statistician, or chartered accountant. This degree may also be useful in becoming a corporate investment banker, investment analyst, or quantity surveyor.
The typical entrance requirement is a second-class honours degree (2:2) or above in mathematics.
Applicants may be emailed an entrance test to gauge their suitability for the programme.
Reviews
Subjects
- Financial Derivatives
- Derivatives
- Market Risk
- IT risk
- Credit Risk Management
- Communications
- Market
- Risk Management
- Risk
- Financial Modelling
- Credit
- Mathematics
- Financial Mathematics
- Finance
- Financial
- Writing
- Part Time
- Financial Training
- GCSE Mathematics
Course programme
The programme comprises 120 credits of taught modules and a 60-credit dissertation. Taught modules consist of one compulsory mathematics essay, finance options worth 60 credits and mathematics options worth 45 credits.
The programme director can offer you advice on the most suitable choice of option modules, given your experience, prior study and future goals.
COMPULSORY MODULE- Mathematics Essay
- Credit Risk Management
- Derivatives across Asset Classes: Valuation and Hedging
- Financial Data Science with Python
- Market Risk Management
- Mathematical and Numerical Methods
- Mathematics of Financial Derivatives
- Portfolio Theory
- Group Theory
- Linear and Nonlinear Optimization
- Mathematical and Numerical Methods
- Topology
- Mathematics Dissertation
Additional information
FEES
Part-time home students: £6660 pa
Full-time home students: £13320 pa
Part-time international students: £9690 pa
Full-time international students: £19380 pa
Mathematics and Financial Modelling (MSc)