Computer Science MSc

Program Overview

The MSc Computer Science program at the University of Exeter is designed for non-computing graduates seeking to enter the field. It provides a solid foundation in computer science principles, specializing in areas such as AI, cybersecurity, and human-centered computing, equipping graduates with the skills for a successful career in the tech industry. The program's collaborative environment fosters teamwork and communication skills, while the dedicated career support team aids students in their job search.

Program Outline

Degree Overview:

• Target Audience: Intended for graduates from non-computing backgrounds who aspire to work with computers in various industries.
• Program Objectives:
• To complement a first degree with the knowledge and skills required to thrive in the dynamic and rapidly evolving field of computer science.
• To enhance employability in a competitive job market by providing specialized technical knowledge and communication skills sought by employers.
• To equip students with the latest developments, tools, and methodologies in areas such as artificial intelligence, cyber security, human-centered computing, and software engineering.

Outline:

• Program Structure:
• Term 1:
Focuses on core computer science concepts, including algorithms and architectures, data systems, programming, and security.
• Term 2: Extends the foundation of knowledge to practical domains, introducing ethical and governance frameworks, professional frameworks in software development, and exploring various applications.
• Capstone Project: 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:
• Choose 30 credits from the following:
• ECMM426 Computer Vision (15 credits)
• ECMM463 Building Secure and Trustworthy Systems (15 credits)
• ECMM464 Security Assessment and Validation (15 credits)
• Including up to 30 credits from the following, assuming pre-requisites are met:
• ECM3446 High Performance Computing (15 credits)
• ECM3408 Enterprise Computing (15 credits)
• Including up to 30 credits from other departments:
• BEMM129 Digital Business Models (15 credits)
• XXXX Free choice elective (30 credits)

Assessment:

• Assessment Methods:
• Essays
• Closed book tests
• Exercises in problem-solving
• Use of the web for tool-based analysis and investigation
• Mini-projects
• Extended essays on specialized topics
• Individual and group presentations

Teaching:

• Teaching Methods:
• Lectures
• Workshops
• Online materials
• Faculty:
• Scientists and leading academics in the field who work with businesses to solve real-world computational problems.
• Growing number of apprenticeship programmes with direct links to industry.
• Supportive Environment:
• Open-door policy for easy consultation with staff.
• Informal and friendly atmosphere.

Careers:

• Potential Career Paths:
• Software engineering
• Health communications
• Education
• Life sciences
• Finance
• Manufacturing
• Academia
• Opportunities:
• Huge opportunities exist for businesses and individuals who can solve problems using the latest technology such as artificial intelligence, machine learning, data science, high performing computing, and cyber security.
• Skills Developed:
• Technical Skills: Programming languages, algorithms, data structures, databases, and other core technical concepts.
• Problem-Solving Abilities: Analytical approach to complex problems.
• Versatility: Adaptability to various career paths within the computer science field.
• Innovation and Creativity: Design and implementation of solutions to real-world problems.
• Adaptability: Ability to adapt to new technologies and methodologies.
• Teamwork and Communication Skills: Collaboration and communication skills fostered through group projects.
• Career Support:
• Dedicated Career Zone team providing career guidance, one-on-one support, and industry contacts.
• Training events, workshops, and lectures to develop enterprise acumen.

Other:

• Program Duration: 1 year full-time, 2 years part-time.
• Discipline: Computer Science.
• Contact:
• Web: Enquire online
• Typical Offer: 2:1 Honours degree.
• Contextual Offers: Available for applicants with non-standard qualifications or relevant work experience.
• English Language Requirements: International students need to meet specific English language proficiency requirements.
• University Rankings:
• 20th in The Times and The Sunday Times Good University Guide 2024 for Computer Science.
• Joint 9th in the UK for graduate prospects for Computer Science in the Complete University Guide 2025 (94%).
• Partnerships:
• Partner to the Alan Turing Institute.
• Home to the Institute of Data Science and Artificial Intelligence.
• Facilities: Excellent facilities spanning a wide range of machine types and software ecosystems.

2024/25 entry UK fees per year: £12,100 full-time; £6,050 part-time International fees per year: £27,500 full-time; £13,750 part-time