Computer Science and Mathematics MEng

UCL (University College London)

This Computer Science and Mathematics MEng at UCL gives you the theoretical knowledge and hands-on skills for a successful career in tech across a wide range of industries. You’ll delve deep into the mathematical topics, methods, and principles that underpin modern computer science and the financial services industry. This course has a Year in Industry and Study Abroad option available. Deepen your expertise and hone your research skills on this 4-year MEng Computer Science and Mathematics at UCL. You'll delve deep into the mathematical topics, methods and principles that underpin modern computing. The four-year integrated Computer Science and Mathematics MEng at UCL will enable you to master the mathematics and computer science at the heart of all modern technology.

Designed to enable skilled mathematicians to apply advanced mathematical reasoning to the analysis of computational systems, this course requires detailed study of a wide range of topics, including algebra, logic, discrete mathematics, information theory, and statistics.

While accessing UCL Computer Science’s most mathematically complex curriculum, you’ll also study core computing modules in programming, algorithms, and computer architecture. As a result, you’ll develop advanced and highly specialised skills, learning to investigate and implement theoretical methods for interacting with vast datasets. In the process, you’ll help set a new basis for the future of computing.

You’ll work closely with other students on the course, supporting each other’s learning through interactive reading groups and seminars. You’ll also have ample opportunities for personal guidance from module leaders as you apply research techniques to solve practical problems.

Under the close guidance of UCL’s world-leading academics, you’ll undertake a Master’s level substantive research project or dissertation in your final year. You’ll support this independent study by choosing a set of optional Master’s-level modules to build the necessary relevant expertise in specialist areas such as quantum information and communication, affective computing and human-robot interaction, or reinforcement learning.