Mathematical Modelling MSc

This MSc provides an ideal foundation for students wishing to advance their mathematical 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 be applied in a research context to provide powerful solutions.

Mode of study

  • Full-time 1 year
  • Part-time 2 years

Tuition fees

  • UK/EU Full-time: £8,500
  • UK/EU Part-time: £4,250
  • Overseas Full-time: £16,750
  • Overseas Part-time: £8,500

Application date

  • All applicants: 1 August 2014

More details in Application section.

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 internationally renowned for its excellent individual and group research that involves 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.

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
  • Mathematical Ecology
  • Evolutionary Game Theory and Population Genetics
  • Biomechanics
  • Geophysical Fluid Dynamics
  • Financial Mathematics
  • Quantitative and Computational Finance
  • Dynamical Systems
  • Waves and Wave Scattering
  • Numeric Methods


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:

Scholarships available for this department

Edwin Power Scholarship

Brown Family Bursary

This award is based on financial need.

Further information about funding and scholarships can be found on the Scholarships and funding website.

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.

International equivalencies

Select your country for equivalent alternative requirements

English language proficiency level: Standard

How to apply

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.

The deadline for applications is 1 August 2014.

Who can apply?

The programme is aimed at students with a background in a highly numerate disciplinethat wish to advance their mathematical modelling skills. Successful students will be well placed to satisfy the growing demand for mathematical modelling in commerce and industry, and will learn and practice 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

Top career destinations for this programme

  • Hed Capital, Financial Modelling Analyst, 2011
  • UCL, PhD in Biology and Mathematics, 2010
  • RTE, Engineer, 2009
  • Tower Perrins, Actuarist, 2009
  • Deloitte, Quantitative Analyst, 2009


The finance, actuarial and accountancy professionals are constantly in demand for high-level mathematical skills and recent graduates have taken positions in leading finance-related companies such as UBS, Royal Bank of Scotland, Societe Generale, PricewaterhouseCoopers, Deloitte, and KPMG.

In the engineering sector, recent graduates from the MSc include a mathematical modeller at Steet Davies Gleave, a leading Transportation Planning Consultancy, and a graduate trainee at WesternGreco, a business segment of Schlumberger that provide recervoir imaging, monitoring, and development services.

In addition, a number of graduates have remained in education either progressing to a PhD or entering the teaching profession.

Next steps


Professor Frank Smith

T: +44 (0)20 7679 4102



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