Financial and Actuarial Mathematics

Leeds University Business School

Postgraduate

In Leeds

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Description

  • Type

    Postgraduate

  • Location

    Leeds

  • Start date

    Different dates available

If you want to study for a mathematics-related MSc course but don’t meet the full academic entry requirements, this programme will equip you with the mathematical knowledge and skills you need, specialising in financial and actuarial mathematics.
You’ll choose from a range of undergraduate modules offered in the School of Mathematics and Leeds University Business School, building a programme which fills the gaps in your knowledge and prepares you for postgraduate study in actuarial and financial mathematics. If you complete the GradDip and meet the required performance standard, you’ll be eligible to apply for a number of related MSc courses in the next academic year.
You could develop your understanding of corporate finance, survival analysis, financial statistics and many others in a supportive and stimulating research environment.

Facilities

Location

Start date

Leeds (North Yorkshire)
Maurice Keyworth Building, The University Of Leeds, LS2 9JT

Start date

Different dates availableEnrolment now open

About this course

Entry requirements
A bachelor degree with a 2:2 (hons) in a related mathematical, physical or social sciences subject such as statistics, engineering, physics, accounting, management, finance, computer science, etc., with a significant mathematical component. If your degree has a less significant mathematical component, we will expect a minimum of a 2:1 (hons).
We accept a range of international equivalent qualifications.
English language requirements
IELTS 6.5 overall, with no less than 6.0 in any component.. For other English qualifications, read English language equivalent...

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This centre's achievements

2018

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 16 years

Subjects

  • Corporate Finance
  • Statistics
  • Mathematics
  • Actuarial Mathematics
  • Financial Mathematics
  • Finance
  • Financial
  • School
  • Financial Training
  • GCSE Mathematics

Course programme

The programme is highly flexible and there are no compulsory modules, meaning you can build your own programme of study that suits your interests as well as the MSc programme you want to study after the GradDip. Your choices will be checked and approved by the Programme Leader, who might also suggest different choices according to your background.

Around half of the total number of credits you study should come from level 3 modules, including no more than one project module. You’ll need to pass at least 100 credits – including at least 60 credits at level 3 – and have an overall average of at least 40 to graduate with the GradDip.

Course structure

These are typical modules/components studied and may change from time to time. Read more in our Terms and conditions.

Modules Year 1

Optional modules

  • Corporate Finance 20 credits
  • International Business Finance 10 credits
  • Financial Mathematics 2 10 credits
  • Financial Mathematics 3 10 credits
  • Numerical Analysis 10 credits
  • Numerical Analysis with Computation 15 credits
  • Introduction to Optimisation 10 credits
  • Statistical Methods 10 credits
  • Statistical Modelling 10 credits
  • Introduction to Markov Processes 10 credits
  • Survival Analysis 10 credits
  • Computational Mathematics 10 credits
  • Project in Mathematics 20 credits
  • Analytic Solutions of Partial Differential Equations 15 credits
  • Numerical Methods 10 credits
  • Actuarial Mathematics 1 15 credits
  • Actuarial Mathematics 2 15 credits
  • Linear Regression and Robustness 15 credits
  • Stochastic Financial Modelling 15 credits
  • Multivariate Analysis 10 credits
  • Time Series 10 credits
  • Bayesian Statistics 10 credits

For more information on typical modules, read Financial and Actuarial Mathematics GradDip in the course catalogue

Learning and teaching

The flexibility of this programme means that you can choose from modules that use a wide range of teaching and learning methods. These could include example classes, practicals, lectures, seminars, workshops and tutorials among many others.

However, independent study is another vital element of the programme which allows you to develop your skills and prepare for taught sessions.

Assessment

You’ll come across a variety of assessment methods which could include exams as well as problem sheets, essays, practicals, class tests and other forms of coursework.

See related categories

Financial and Actuarial Mathematics

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