This MEng is aimed at a small cohort of students with strong mathematical ability. The programme focuses on theoretical computer science and will equip you with the ability to model complex systems, and represent, manipulate, and analyse the vast amounts of data and knowledge required to solve massively complex problems.
- UCAS code
- 4 years
- Application deadline
- 15 January 2017
- Applications per place
- 12 (2015 entry)*
- Total intake
- 123 (2017 entry)*
- Mathematics with A* required and Further Mathematics preferred.
- English Language and Mathematics at grade C. For UK-based students, a grade C or equivalent in a foreign language (other than Ancient Greek, Biblical Hebrew or Latin) is required. UCL provides opportunities to meet the foreign language requirement following enrolment, further details at: www.ucl.ac.uk/ug-reqs
- A total of 19 points in three higher level subjects including grade 7 in Mathematics, with no score below 5.
UK applicants qualifications
For entry requirements with other UK qualifications accepted by UCL, choose your qualification from the list below:
Not acceptable for entrance to this programme
Not acceptable for entrance to this programme.
D2,D3,D3 in three Cambridge Pre-U Principal Subjects, to include Mathematics at D2
A1,A,A at Advanced Highers (or A1,A at Advanced Higher and A,A,A at Higher), to include Mathematics A1 at Advanced Higher.
Successful completion of the WBQ Advanced Skills Challenge Certificate plus 2 GCE A-Levels at grades A*AA, to include Mathematics at A*, Further Mathematics preferred.
In addition to A level and International Baccalaureate, UCL considers a wide range of international qualifications for entry to its undergraduate degree programmes.
Undergraduate Preparatory Certificates
The Undergraduate Preparatory Certificates (UPCs) are intensive one-year foundation courses for international students of high academic potential who are aiming to gain access to undergraduate degree programmes at UCL and other top UK universities.
Typical UPC students will be high achievers in a 12-year school system which does not meet the standard required for direct entry to UCL.
For more information see: www.ucl.ac.uk/upc.
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. Information about the evidence required, acceptable qualifications and test providers can be found on our English language requirements page.
The English language level for this programme is: Standard
A variety of English language programmes are offered at the UCL Centre for Languages & International Education.
- Located in purpose-built accommodation, the department offers excellent laboratory and experiment facilities in a friendly and personal learning environment.
- You will benefit from our extensive research as this cutting-edge knowledge is fed into your lecture programmes.
- Our location in the centre of London strengthens our close associations with industry and the financial sector, and offers you extensive opportunities for developing contacts with potential employers.
Research Excellence Framework (REF) 2014
The Research Excellence Framework, or REF, is the system for assessing the quality of research in UK higher education institutions. The 2014 REF was carried out by the UK's higher education funding bodies, and the results used to allocate research funding from 2015/16.
The following REF score was awarded to the department: Computer Science.
- 96% rated 4* (world-leading) or 3* (internationally excellent)
Learn more about the scope of UCL's research, and browse case studies, on our Research Impact website.
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In each year of your degree you will take a number of individual modules, normally valued at 0.5 or 1.0 credits, adding up to a total of 4.0 credits for the year. Modules are assessed in the academic year in which they are taken. The balance of compulsory and optional modules varies from programme to programme and year to year. A 1.0 credit is considered equivalent to 15 credits in the European Credit Transfer System (ECTS).
The programme will cover a wide range of mathematical topics that underpin the analysis of computational systems including logic, discrete mathematics, information theory, probability and statistics. With this foundation, you will investigate methods for representing, manipulating and reasoning about the vast amounts of data and knowledge available to modern computers. The mathematical content is deeper and more substantial than our other computer science programmes. Practical problem-solving will mesh with this deeper theoretical work, and you will take part in regular reading groups and seminars, solely for Mathematical Computation students.
Second-year students have one free optional module which may be taken from outside the department. In the third and final years you may choose from a wide range of specialist options including game theory, artificial intelligence, graph theory, evolutionary computation, machine learning, dynamical systems and cryptography.
In the final year you will produce a dissertation in a subject of your choice.
An indicative guide to the structure of this programme, year by year.
Mathematical Methods I
Principles of Programming
All first year modules are compulsory.
Algebra III: Further Linear Algebra
Logic and Database Theory
Mathematical Methods II
Network and Concurrency
Probability and Statistics
You will select 0.5 credits from a wide range of optional modules.
Introduction to Cryptography
Technology Managements and Professional Issues
Optional modules will include:
Please note: Some aspects of the year are still to be confirmed.
Individual Project (Masters Level)
You will select 3.0 credits from a wide range of Master's level Mathematics and Computer Science options. Options may include:
Advanced Modelling Rendering and Animation
Affective Computing and Human-Robot Interaction
Evolutionary and Natural Computation
Financial Information Systems
Information Retrieval and Data-Mining
Introduction to Cryptography
Mobile and Cloud Computing
People and Security
Systems Requirements Engineering
Modules usually last for one term and include a mixture of lectures, tutorials and lab classes. There is a focus on practical problem-based learning and group work. From the very first week of teaching you will find yourself applying theory and working with others on solving real and challenging problems.
Student performance is continually monitored, and all modules are assessed, usually by individual or group coursework assignments and an unseen written examination at the end of the academic year.
Detailed course descriptions are available on the department website: Mathematical Computation MEng.
Strong practical and analytical skills developed during your studies will leave you well placed to meet the growing global demand for graduates in this fast-moving industry.
Our graduates have previously secured careers with global IT consultancies, as IT analysts with City of London banks and as IT specialists with manufacturing industries. However, your UCL Computer Science degree will provide you with an excellent foundation for almost any career.
Alternatively, you may also choose to pursue further academic study such as a Master's degree or doctoral research.
The first cohort of students admitted to the Mathematical Computation MEng will graduate in 2015. Therefore no information about their career destinations is yet available. First career destinations of recent graduates (2012-2014) of UCL Computer Science programmes include:
- Software Engineer, Shazam
- Application Developer, Goldman Sachs
- Software Developer, Credit Suisse
- Business and Systems Integration Analyst, Accenture
- Application Designer, Deutsche Bank
*Data taken from the 'Destinations of Leavers from Higher Education' survey undertaken by HESA looking at the destinations of UK and EU students in the 2012-2014 graduating cohorts six months after graduation.
UCL is commited to helping you get the best start after graduation. Read more about how UCL Careers, UCL Advances and other entrepreneur societies here: Careers and skills.
Fees and funding
The fees indicated are for undergraduate entry in the 2016/17 academic year.
- UK/EU students
- £9,000 (2016/17)
- Overseas students
- £22,380 (2016/17)
Fees for students entering UCL in September 2017 (i.e. for the 2017/2018 academic year) will be set in the summer of 2016 and published on the UCL Current Students website. Fees advertised by UCL are for the first year of the programme. UK/EU undergraduate fees are capped, but fees for other students may be subject to increase in future years of study by between 3-5%.
Various funding options are available, including student loans, scholarships and bursaries. UK students whose household income falls below a certain level may also be eligible for a non-repayable bursary or for certain scholarships. Please see the Fees and funding pages for more details.
The Google Europe Anita Borg Memorial Scholarship
Google offers a number of scholarships to women students in Computer Science.
The Scholarships and Funding website lists scholarships and funding schemes available to UCL students. These may be open to all students, or restricted to specific nationalities, regions or academic department.
Application and next steps
In addition to academic requirements, we are looking for you to demonstrate a proven interest in computing and a clear understanding of what studying computer science entails. We are keen to admit students with an interest in subjects that relate to applications of computer technology.
How to apply
Application for admission should be made through UCAS (the Universities and Colleges Admissions Service). Applicants currently at school or college will be provided with advice on the process; however, applicants who have left school or who are based outside the United Kingdom may obtain information directly from UCAS.
Application deadline: 15 January 2017
If your application demonstrates the academic profile and commitment to computer science we are looking for, you will be invited to visit the department to find out more about us and what its like to study Mathematical Computation at UCL.
A series of informative sessions will be on offer, introducing you to the department and UCL and giving you a taster of what its like to study here. You will have the opportunity to meet members of teaching staff and current students, take a tour of the campus and see demonstrations of current research and teaching activities.
For further information on UCL's selection process see: Selection of students