Modes and duration
- Full-time: 1 year
- Part-time: 2 years
Programme start date
Tuition Fees (2016/17)
- £9,020 (FT) £4,510 (PT)
- £17,770 (FT) £9,020 (PT)
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.
English Language Requirements
If your education has not been conducted in the English language, you will be expected to demonstrate evidence of an adequate level of English proficiency.
The English language level for this programme is: Standard
Further information can be found on our English language requirements page.
Country-specific information, including details of when UCL representatives are visiting your part of the world, can be obtained from the International Students website.
International applicants can find out the equivalent qualification for their country by selecting from the list below.
Select your country:
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.
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.
- Advanced Modelling Mathematical Techniques
- Nonlinear Systems
- Operational Research
- Computational and Simulation Methods
- Frontiers in Mathematical Modelling and its Applications
- Asymptotic Methods & Boundary Layer Theory
- Evolutionary Game Theory and Population Genetics
- Financial Mathematics
- Geophysical Fluid Dynamics
- Mathematical Ecology
- Quantitative and Computational Finance
- Real Fluids
- Traffic Flow
- 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.
Scholarships relevant to this department are displayed (where available) below. For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website.
- £15,000 (1 year)
- UK students
- Based on both academic merit and financial need
- £400 (1 year)
- UK, EU, Overseas students
- Based on academic merit
More scholarships are listed on the Scholarships and Funding website
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 degree
- Financial Modelling Analyst, Hed Capital (2011)
- Engineer, EDF (2013)
- Mathematical Modelling Actuary, Royal Mail (2013)
- Operation Analyst, Credit Suisse (2012)
- Financial Analyst, Deutsche Bank (2013)
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.
Why 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.
Student / staff ratios › 74 staff including 25 postdocs › 47 taught students › 60 research students
Application and next steps
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 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.
- All applicants
- 29 July 2016
For more information see our Applications page.Apply now
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