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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.
Key information
Programme starts
September 2021
Modes and duration
Application dates
Tuition fees (2021/22)
Note on fees:
The tuition fees shown are for the year indicated above. Fees for subsequent years may increase or otherwise vary. Further information on fee status, fee increases and the fee schedule can be viewed on the UCL Students website: ucl.ac.uk/students/fees.
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.
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
UCL Pre-Master's and Pre-sessional English courses are for international students who are aiming to study for a postgraduate degree at UCL. The courses will develop your academic English and academic skills required to succeed at postgraduate level. International Preparation Courses
Further information can be found on our English language requirements page.
International students
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:
About this degree
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 of problems - industrial, biological and environmental - and associated conceptual models and 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.
Upon successful completion of 180 credits, you will be awarded a MSc in Mathematical Modelling.
Please note that the list of modules given here is indicative. This information is published a long time in advance of enrolment and module content and availability is subject to change.
Compulsory modules
- Advanced Modelling Mathematical Techniques
- Nonlinear Systems
- Operational Research
- Computational and Simulation Methods
- Frontiers in Mathematical Modelling and its Applications
Optional modules
- Asymptotic Methods & Boundary Layer Theory
- Biomathematics
- Cosmology
- Evolutionary Games and Population Genetics
- Geophysical Fluid Dynamics
- Mathematical Ecology
- Quantitative and Computational Finance
- Wave and Wave Scattering
- Further information about these modules is available on the department website.
Dissertation/report
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.
Additional costs
For more information on additional costs for prospective students please go to our estimated cost of essential expenditure at Accommodation and living costs.
Accessibility
Details of the accessibility of UCL buildings can be obtained from AccessAble accessable.co.uk. Further information can also be obtained from the UCL Student Support & Wellbeing team.
Funding
For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website.
Careers
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.
Employability
Finance, actuarial and accountancy professionals are constantly in demand for their 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, one recent graduate has progressed to a mathematical modelling role at a leading transportation planning consultancy; another became a graduate trainee at a business segment of Schlumberger that provides reservoir 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.
Department: Mathematics
Application and next steps
Applications
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.
This programme requires two references. Further information regarding references can be found in our How to apply section.
There is an application processing fee for this programme of £90 for online applications and £115 for paper applications. Further information can be found at: ucl.ac.uk/prospective-students/graduate/taught/application.
Who can apply?
The programme is aimed at students with a background in a highly numerate discipline who 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 practise the skills necessary to pursue further research.
Application deadlines
- All applicants
- 31 May 2021
For more information see our Applications page.
Apply nowWhat 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.
UCL is regulated by the Office for Students.
Page last modified on 11 June 2021
