Computer Science and Mathematics The University of Exeter

Overview

The Computer Science and Mathematics degree from The University of Exeter key features are:

• Develops practical skills in the specification, design and implementation of computer systems, as well as an understanding of the theory behind them

• Our world-class teaching is informed by active, up-to-the-minute research of international standing in developing fields including machine learning, artificial intelligence, and nature-inspired computation

• Opportunity to gain industry experience, available to all students through summer placements or a year-long ‘Industrial Placement’

• Excellent teaching links with computer-related industry partners such as IBM, The Met Office, NATS and Motorola

Career opportunities:

Exeter has an excellent reputation with graduate recruiters and a strong employment record. Graduates of the Computer Science and Mathematics degree from The University of Exeter excel in specialist computer science fields and across a broad range of other sectors.

We offer a very wide range of opportunities for you to develop the skills employers are looking for, including industrial placements and study abroad. Visit our Careers and employability webpages to find out more.

Mathematics has long influenced the development of computer science, and the rapid growth of computing power has led to the development of techniques and algorithms which have in turn influenced the mathematics community, making this joint degree a natural combination. In addition graduates from the programme are well prepared for careers requiring either or both of the disciplines.

There has never been a greater need for experts in computing. From the complex IT systems used in modern businesses to sophisticated online gaming experiences, computers are a familiar characteristic of the modern world. This makes for a fascinating range of careers that require the technical expertise of a computer scientist (someone who understands the science behind computer technology).