Mathematics (MSc)

Overview

This course is designed to develop advanced mathematics graduates by offering them specialisation within a range of job-related areas. The course focuses particularly on mathematical and statistical methods and the application of advanced modelling techniques and quantitative theory to practice, particularly in support of business, finance and industry. The course recognises and embraces the importance of mathematical and quantitative analysis within modern business, and gives graduates a strong platform from which to secure specialist and rewarding careers. Our strong research reputation, and our links with industry, ensure that this course is fascinating, relevant and tailored to the mathematics needed in complex organisations.

Faculty of Computing

Applying and entry

PLEASE NOTE There is no official closing date for this course, but you are advised to apply as early as possible as we will only consider your application if there are places available on the course.

Tel: 020 7133 4202
Email: admissions@londonmet.ac.uk

A good degree in mathematics, statistics or a similar subject with a strong mathematics component or successful completion of Pre-Masters in Computing and Technology. Those with relevant professional qualifications or extensive professional experience will be considered.

Course contents

The course consists of five core modules, one optional module and a project of around 15,000 words.

Core modules:
• Applied Statistical Modelling and Stochastic Processes
• Matrices, Series and Metric Spaces
• Mathematical Models and Methods
• Optimisation Methods and Simulation
• Research and Development Skills

Optional modules include:
• Applied Data Mining Techniques
• Information Security
• Quantitative Analysis for Finance

Read more about the modules

Teaching methods

The programme of studies to be offered is organised into six 20-credit taught modules and a 60-credit Project module. A taught module comprises a nominal 3 or 4 hours per week direct contact time. A variety of teaching methods will be used during the contact time and students will be expected to spend a significant proportion of their time on independent study, develop their practical skills and undertake research during their non-contact time. For full-time students the project will normally be undertaken as supervised independent work in the three months after the taught component of the course has been completed.

Assessment

You are assessed via a combination of coursework, individual and group research projects, end of semester examinations and a final project.

Careers

The course will give students a competitive edge in securing employment in popular sectors such as business; finance; IT and computing and academia. The Civil Service, the NHS and many other public sector employers are also possible destinations for graduates.

Student profiles