PDF version of Mathematical Modelling MSc

Contact details

Professor Frank Smith

Email: frank@math.ucl.ac.uk

Tel: +44 (0)20 7679 2837

Fees and funding

UK/EU 2013/14:

£8,250 (FT)

Overseas 2013/14:

£16,250 (FT)

Full details of funding opportunities can be found on the UCL Scholarships website

More information

Prospectus Entry


Key facts

Research Assessment Rating

Mathematics: 50% Applied, 60% Pure rated 4* (world-leading) or 3* (internationally excellent)
(What is the RAE?)

The programme information on this page relates to 2013 entry. 2014 content to appear here shortly. 

Mathematical Modelling MSc

This MSc provides an ideal foundation for students hoping to advance their scientific modelling skills. The programme teaches students the basic concepts which arise in a broad range of technical and scientific problems and illustrates how these may also be applied in a research context to provide powerful solutions.

Degree summary

What will I learn?

Students develop an understanding of the processes undertaken to arrive at a suitable mathematical model and are taught the fundamental analytical techniques and computational methods used to develop insight into system behaviour. The programme introduces a range (e.g. industrial, biological and environmental) of problems, associated conceptual models and their solutions.

Why should I study this degree at UCL?

UCL Mathematics is an internationally renowned department which carries out excellent individual and group research applying modelling techniques to problems in industrial, biological and environmental areas.

The department hosts a stream of distinguished international visitors. In recent years four staff members have been elected fellows of the Royal Society, and the department publishes the highly regarded research journal Mathematika.

This MSc enables students to consolidate their mathematical knowledge and formulate basic concepts of modelling before moving on to case studies in which models have been developed for issues motivated by industrial, biological or environmental considerations.

See subject website for more information:

Degree structure

Availability: Full-time 1 year, Part-time 2 years

Students undertake modules to the value of 180 credits. The programme consists of five core modules (75 credits), three optional modules (45 credits), and a research dissertation (60 credits).

The part-time option normally spans two years. The eight taught modules are spread over the two years. The research dissertation is taken in the summer of the second year.

An exit-level Postgraduate Diploma (120 credits, full-time one year) is offered.

Core Modules

  • Advanced Modelling Mathematical Techniques
  • Nonlinear Systems
  • Operational Research
  • Computational and Simulation Methods
  • Frontiers in Mathematical Modelling and its Applications


  • Real Fluids
  • Traffic Flow
  • Cosmology
  • Mathematics in Biology
  • Biomechanics
  • Geophysical Fluid Dynamics
  • Financial Mathematics
  • Mathematics for Economics
  • Gas Dynamics
  • Applied Mathematical Finance
  • Waves and Wave Scattering


All MSc students undertake an independent research project, which culminates in a dissertation of approximately 15,000 words and a project presentation.

Teaching and Learning

The programme is delivered through seminar-style lectures and problem and computer-based classes. Student performance is assessed through a combination of unseen examination and coursework. For the majority of courses, the examination makes up between 90–100% of the assessment. The project is assessed through the dissertation and an oral presentation.

Further details available on subject website:

Entry and application

Entry requirements

A minimum of an upper second-class Bachelor's degree in a relevant discipline from a UK university or an overseas qualification of an equivalent standard.

For overseas equivalencies see the relevant country page.

How to apply

You may choose to apply online or download application materials; for details visit www.ucl.ac.uk/gradapps

The deadline for applications is 2 August 2013. However, students are advised to apply as early as possible due to competition for places. Those applying for scholarship funding (particularly overseas applicants) should take note of application deadlines.

Who can apply?

The programme is aimed at students with a background in a numerate discipline who wish to advance their scientific modelling skills. Successful students will be well placed to satisfy the growing demand for mathematical modelling in commerce and industry, and gain the skills necessary to pursue further research.

What are we looking for?

When we assess your application we would like to learn:

  • why you want to study Mathematical Modelling at graduate level
  • why you want to study Mathematical Modelling at UCL
  • what particularly attracts you to this programme
  • how your academic background meets the demands of a challenging programme
  • where you would like to go professionally with your degree
Together with essential academic requirements, the personal statement is your opportunity to illustrate whether your reasons for applying to this programme match what the programme will deliver.


Our graduates have found employment in a wide variety of organisations such as Hillier-Parker, IBM, Swissbank, Commerzbank Global Equities, British Gas, Harrow Public School, Building Research Establishment and the European Centre for Medium-Range Weather-Forecasting.

First destinations of recent graduates include:

  • R.T.E: Engineer
  • Tower Perrins: Actuarist
  • Deloitte: Quantitative Analyst
  • UCL: Research Associate
  • C-View: Quantitative Trader
  • One-to-One: Maths Tutor
  • UCL Research Degree - Mathematics
  • Duff & Phelps Ltd: Financial Engineer
  • Bank of Tokyo Mitsubishi: Assistant Compliance Officer

Find out more about London graduates' careers by visiting the Careers Group (University of London) website:

Request content update l Request printed information l Disclaimer
Page maintained by Publications and Marketing Services