Financial Mathematics BSc Placement offered

4.0
1 review
  • I loved my time at Brunel. It was great and I simply ejoyed like anything. Simply great and excellent.
    |

Postgraduate

In Uxbridge

Price on request

Description

  • Type

    Postgraduate

  • Location

    Uxbridge

  • Start date

    Different dates available

Mathematics is a fundamental subject that is constantly developing. Yes – it is a discipline in its own right. But it is also the thinking behind countless commercial, industrial and technological activities.

Facilities

Location

Start date

Uxbridge (Middlesex)
Brunel University, UB8 3PH

Start date

Different dates availableEnrolment now open

About this course

IELTS: 6 (min 5.5 in all areas)
Pearson: 51 (51 in all subscores)
BrunELT: 60% (min 55% in all areas)

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Reviews

4.0
  • I loved my time at Brunel. It was great and I simply ejoyed like anything. Simply great and excellent.
    |
100%
4.6
excellent

Course rating

Recommended

Centre rating

Jememiah

4.0
01/03/2018
What I would highlight: I loved my time at Brunel. It was great and I simply ejoyed like anything. Simply great and excellent.
What could be improved: It was great.
Would you recommend this course?: Yes
*All reviews collected by Emagister & iAgora have been verified

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 14 years

Subjects

  • GCSE Mathematics
  • Financial Training
  • Industry
  • Project
  • Financial
  • Finance
  • Financial Mathematics
  • Calculus
  • Mathematics
  • Statistics
  • Staff

Course programme

Course Content

Two-thirds of this course is shared with the BSc in Mathematics. This covers several application areas – finance, statistics, operational research (i.e. how maths can be applied to commercial industrial problems) and numerical analysis. The remaining third covers the key principles of finance. MMath students study for a further year, bringing their degree up to Master’s level.

Typical Modules

Level 1

  • Transition to Independant Learning of Mathematics (10 credits)
  • Calculus
  • Fundamentals
  • Linear Algebra
  • Probability and Statistics
  • Algorithms and Numerical Methods
  • Financial Markets
  • Introduction to Data Handling for Finance
  • Algorithms and Numerical Methods
    Find out more information about Level 1

Level 2

  • Multivariable Calculus
  • Advanced Calculus and Numerical Methods
  • Linear Methods
  • Elements of Combinatorics
  • Analysis I
  • Probability and Statistics II
  • Operational Research
  • Elements of Investment Mathematics
  • Computing for Finance
  • Employability Skills

Level 2 Sandwich Placement

  • Work Placement

Level 3 Compulsory

  • Major Project (see below for more)
  • Stochastic Models
  • Mathematical Finance.

Level 3 Options

  • Ordinary and Partial Differential Equations
  • Statistics III
  • Risk and Optimisation for Financial Planning
  • Numerical Methods for Differential Equations.
Final year project

This is a very valuable feature of the Financial Mathematics BSc course – a substantial piece of individual, course-related work personally supervised by a staff member. Projects are often connected to staff research areas and may also be in response to industry demands. Work on the project accounts for about one-third of your final year study load.

Explore a topic of particular interest to you in-depth or work on a practical problem – the choice is yours.

Although students who undertake a work placement year can choose to focus their final year project on their work experience, they may also select from the projects offered each year by the mathematics staff. During 2010-2011 over 150 project titles were available to final year mathematics undergraduates. These covered a very wide range of mathematical areas and applications including, for example:

  • The very famous ‘travelling salesman problem’ (also known as ’the lazy waiter’!)
  • The discovery and identification of clustering behaviour in financial markets
  • The mathematics of complex networks such as the web, or even Facebook
  • Applications of statistics to the Premier League, police complaints data and global warming
  • Investigating traffic flow (are traffic lights better than roundabouts?).

Our students also have opportunities to study modern theories in quantitative finance, with particular emphasis on the maths and computation underlying the powerful and influential financial derivatives (e.g. options) industry. Often termed the ‘Black-Scholes theory’, this is famous for winning its discoverers a Nobel prize, as well as for its misapplication often being blamed (rightly or wrongly) for the current worldwide financial crisis.

Most of our projects can be carried out in ways that suit the student's strengths and interests. For example, it is often possible to choose to emphasise concrete applications or abstract theory, and the project can be carried out using theoretical tools only, or computational tools only, or a mixture of both.

MMath fourth year Master’s option

Study for a further year (at Level 5) and bring your BSc degree up to Master’s standard. The MMath programme offers a highly integrated, logical progression from BSc to Master’s level.

Complete the course and develop a career requiring a higher level of mathematical skill and understanding – such as in finance, commerce or industry – or in postgraduate research.

Level 5 modules include:

  • Advanced Project
  • Risk, Simulation and Decision Analysis
  • Numerical & Variational Methods for Partial Differential
  • Equations

Read more about the structure of undergraduate degrees at Brunel and what you will learn on the course.


Additional information

Teaching and Assessment Teaching Up-to-date teaching Mathematics is an active and dynamic research centre. Our academics' work is frequently supported by external grants and contracts with leading industry and government establishments. Lecturers are consequently at the frontiers of the subject and in active contact with modern users of mathematics. This in turn helps to ensure that our undergraduate degrees are truly up-to-date. Broad spectrum of thinking We can offer a wide range of expertise in a variety of subjects. Many of our lecturers are widely published and highly recognised in their fields. How will I be taught? We use a range of approaches to help you engage effectively with the subject, both through your tutors and working with fellow students: Lectures These offer a broad overview of key concepts and ideas – a useful framework from which you can pursue more in-depth study. Tutorials Smaller tutorial groups enable you to work on mathematics exercises and finance related tasks with guidance from a staff member. Computer Workshops These replace some tutorials in certain modules involving computer-based tasks. This includes some mathematical modules such as statistics and operational research. One-to-one In your final year you will normally have one-to-one supervision for your major project. We will also allocate you a personal tutor each year who’s available to discuss personal or academic problems. If you go on placement, your personal tutor will help you set objectives and monitor your progress – and provide further support if you need it. Assessment The ‘exams to coursework’ ratio is around 50:50 in Level 1, increasing to 70:30 in Level 3. We base your final degree class on your performance at Levels 2 and 3. Level 3 carries twice the weight of Level 2.

Financial Mathematics BSc Placement offered

Price on request