Program Overview

MSc Computer Science

Overview

The MSc Computer Science programme is designed for individuals from diverse academic backgrounds seeking a seamless transition into the dynamic field of Computer Science. This one-year programme combines theoretical foundations with practical, hands-on experience to equip students with the essential skills and knowledge demanded by the diverse application domains of society and industry.

Entry Requirements

• Applicants are required to have at least a 2:1 degree in a non-related science undergraduate degree, or a 2:1 in any other degree subject and A Level Mathematics at Grade A or equivalent.
• We may consider applications with non-standard qualifications where there is evidence of exceptional performance in modules relevant to the programme of study, significant relevant work experience, or relevant professional qualifications.

Course Content

The programme structure is designed to provide the core concepts in computer science in term 1, such as algorithms and architectures, data systems, programming and security. In term 2 this foundation of knowledge will be extended to the practical domains with the introduction of ethical and governance frameworks as well as professional frameworks in software development. Also in term 2 students will have the opportunity to explore a number of applications. Finally the capstone project of the degree will be an individual research project completed under the supervision of a computer science academic.

Modules

Compulsory Modules

• COMM514: Research Project (60 credits)
• COMM107: Algorithms and Architectures (15 credits)
• COMM108: Data Systems (15 credits)
• COMM109: Programme with Python (15 credits)
• COMM110: Software Development (15 credits)
• ECMM462: Fundamentals of Security (15 credits)
• SOCM033: Data Governance and Ethics (15 credits)

Optional Modules

• Up to 30 credits from the following, assuming pre-requisites are met:
  • ECMM463: Building Secure and Trustworthy Systems (15 credits)
  • ECMM464: Security Assessment and Validation (15 credits)
  • COMM042: Introduction to Computer Vision (15 credits)
  • COMM111: Foundations of Human-Centred AI (15 credits)
  • COMM112: Design Methods for Human-Centred AI (15 credits)
  • ECMM447: Social Networks and Text Analysis (15 credits)
• Up to 30 credits from the following, assuming pre-requisites are met:
  • ECM3446: High Performance Computing (15 credits)
  • ECM3408: Enterprise Computing (15 credits)
• Up to 30 credits from other departments:
  • BEMM190: Digital Transformation (15 credits)
  • XXXX: Free choice elective (30 credits)

Fees

2025/26 Entry

• UK fees per year: £12,600 full-time; £6,300 part-time
• International fees per year: £29,500 full-time; £14,750 part-time

Scholarships

The University of Exeter has many different scholarships available to support your education, including £5 million in scholarships for international students applying to study with us in the 2025/26 academic year, such as our Exeter Excellence Scholarships.

Teaching and Research

Teaching is mainly delivered by lectures, workshops and online materials. Each module references core and supplementary texts, or material recommended by module deliverers, which provide in depth coverage of the subject and go beyond the lectures.

Careers

Computer Science is at the forefront of technology and innovation. With connectivity at the heart of society, there is an increasing need for graduates who are able to understand the latest techniques and technology to negotiate problems. Huge opportunities exist for the businesses and individuals who can solve these problems using the latest technology such as artificial intelligence, machine learning, data science, high performing computing and cyber security.

Graduate Destinations

Career opportunities are limitless, with graduates being found in a variety of sectors, including software engineering, health communications, education, life sciences, finance and manufacturing. This programme is particularly suited to professionals and graduates looking to develop career options or pursue academia.