Mathematical Computation MEng
Master
In London
Description
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Type
Master
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Location
London
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Duration
4 Years
In each year of your degree you will take a number of individual modules, normally valued at 15 or 30 credits, adding up to a total of 120 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 30-credit module is considered equivalent to 15 credits in the European Credit Transfer System (ECTS).
The programme will cover a wide range of mathematical topics underpinning 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 with the vast amounts of data and knowledge available to modern computers. The mathematical content is deeper and more substantial than in our other computer science programmes. Practical problem-solving will mesh with this deeper theoretical work, and you will also 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 in a subject 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.
Facilities
Location
Start date
Start date
About this course
Located in purpose-built accommodation, the department offers excellent laboratory and experiment facilities in a friendly and personal learning environment.
Cutting-edge knowledge derived from our extensive research feeds 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.
The 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. As well as these pathways, the UCL Mathematical Computation MEng will provide you with an excellent foundation for a broad spectrum of different careers.
You may also choose to pursue further academic study such as a Master's degree or doctoral research.
English Language and Mathematics at grade C or 5. For UK-based students, a grade C or 5 or equivalent in a foreign language (other than Ancient Greek, Biblical Hebrew or Latin) is required.
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Subjects
- Mathematics
- Computational
- GCSE Mathematics
- Machine Vision
- Human-Robot Interaction
- Bioinformatics
- Financial
- Game Theory
- Graph Theory
- Image processing
Course programme
Core or compulsory module(s)
- Algebra 1
- Algebra 2
- Algorithms
- Compilers
- Mathematical Methods 1
- Object Oriented Programming
- Principles of Programming
- Theory of Computation
All first year modules are compulsory.
YEAR 2
- Algebra 3: Further Linear Algebra
- Directed Reading
- Logic and Database Theory
- Mathematical Methods 2
- Networking and Concurrency
- Probability and Statistics
- Security
You will select one of the following modules:
- Cognitive Systems and Intelligent Technologies
- Number Theory
YEAR 3
- Computational Complexity
- Computer Systems
- Introduction to Cryptography
You will select optional modules from a wide range available both within and outside UCL Computer Science. Optional modules within UCL Computer Science modules may include:
- Artificial Intelligence
- Computer Graphics
- Functional Programming
- Game Theory
- Graph Theory
- Image Processing
- Interaction Design
- Machine Learning
- Networked Systems
YEAR 4
Individual Project (Master's Level)
Optional modulesYou will select modules from a wide range of Master's level mathematics and computer science options. Options may include:
- Affective Computing and Human-Robot Interaction
- Bioinformatics
- Financial Information Systems
- Information Retrieval and Data-Mining
- Introduction to Cryptography
- Machine Vision
- Mobile and Cloud Computing
- People and Security
- Virtual Environments
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.
AssessmentStudent 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.
Additional information
Mathematical Computation MEng