MComp Computer Science
About this course
MComp in Computer Science MComp, an electrical and electronic engineering and computer science degree focusing on software development, theoretical foundations, and advanced computing technologies. Core topics include Programming, Systems Design, Computer Architecture, Embedded Systems, Signal Processing, Data Analysis, Statistics, Mathematical Modelling, Research Methods, Project Management, Engineering Design, Ethics & Professional Practice, and Artificial Intelligence & Machine Learning. This four-year programme extends beyond standard bachelor degrees to offer advanced study and a substantial group research focus. The first year covers core principles through Introduction to Software Engineering, Foundations of Computer Science, Java Programming, Systems and Networks, Practical Algorithms and Data Structures, and Introduction to Artificial Intelligence and First Year Reflection. The second year progresses into further paradigms via Programming Language Principles, Databases and Logic in Computer Science, Automata, Computation and Complexity, Foundations and Applications of Artificial Intelligence, Cybersecurity in Action and Professional Issues, and Software Hut. In the third year, students undertake a Dissertation Project alongside optional modules such as Introduction to Speech and Audio Processing, 3D Computer Graphics and Image Processing, Security and Internet of Things, Advanced Algorithms and Programming Semantics, Advanced Software Engineering, Deep Learning, Undergraduate Ambassadors Scheme in Computer Science, Foundations of Natural Language Processing, Mobile Application Development, Nature-inspired Computation and Modelling, Cryptography, and Robotics. The final fourth year features compulsory work through the Turing Research Project and Self-directed Professional Development, alongside choices from options including Cyber Threat Hunting and Digital Forensics, Testing and verification in safety-critical systems, Cybersecurity Team Project, Computer Vision, Human-Computer Interaction and Visual Analytics, Cognitive and Biomimetic Robotics, Parallel Computing with Graphical Processing Units (GPUs), Development of Secure Software, Speech Technology, Software and Hardware Verification, and Reinforcement Learning.
Written by AI from the university's course page and module list. It can get details wrong, so check the official course page before you rely on it.
Entry requirements
A Level: A*AA; AAA IB: 38, with 6 in Higher Level Maths; 36, with 6 in Higher Level Maths and Computer Science; 36, with 6 in Higher Level Maths, and A in a computer science-based extended essay; 34, with 6 in Higher Level Maths and 5 in Higher Level Computer Science, and A in a computer science-based extended essay
What students say
Based on about 93 final-year students who answered, across similar courses at this university
- Teaching on my course: 86%
- Learning opportunities: 82%
- Assessment and feedback: 78%
- Academic support: 91%
- Organisation and management: 84%
- Learning resources: 92%
- Student voice: 88%
Do students stay on the course?
Based on about 40 students who started
- Continued on course: 95%
- Left higher education: 5%
What graduates do next
Based on about 10 graduates who answered (a small group: a rough guide only)
- Working: 70%
- Working and studying: 10%
- Further study: 15%
- Unemployed: 10%
Most common jobs
- Information Technology Professionals: 60%
- Sales occupations: 10%
- Managers, directors and senior officials: 10%
- Engineering professionals: 10%
- Find their work meaningful: 80%
- Feel on track for their future plans: 65%
- Use what they learnt on the course: 65%
Where graduates work (5 years on)
Based on about 65 graduates, across similar courses at this university
- North West: 10%
- Yorkshire and the Humber: 29%
- East Midlands: 9%
- West Midlands: 2%
- East of England: 9%
- London: 35%
- South East: 2%
- South West: 3%
Who gets in
Based on about 40 students who started
- A levels: 95%
- Access course: 5%
Accreditation & quality ratings
- Accredited by BCS, the Chartered Institute for IT on behalf of the Engineering Council for the purposes of fully meeting the academic requirement for registration as a Chartered Engineer.
- Accredited by BCS, the Chartered Institute for IT for the purposes of fully meeting the further learning academic requirement for registration as a Chartered IT Professional.
- Accredited by BCS, the Chartered Institute for IT for the purposes of fully meeting the academic requirement for registration as a Chartered IT Professional.
TEF 2023 (whole university): Silver overall, Silver for student experience, Silver for student outcomes.
Modules
- Introduction to Software Engineering
- Foundations of Computer Science
- Java Programming
- Systems and Networks
- Practical Algorithms and Data Structures
- Introduction to Artificial Intelligence and First Year Reflection
- Programming Language Principles
- Databases and Logic in Computer Science
- Automata, Computation and Complexity
- Foundations and Applications of Artificial Intelligence
- Cybersecurity in Action and Professional Issues
- Software Hut
- Dissertation Project
- Introduction to Speech and Audio Processing
- 3D Computer Graphics and Image Processing
- Security and Internet of Things
- Advanced Algorithms and Programming Semantics
- Advanced Software Engineering
- Deep Learning
- Undergraduate Ambassadors Scheme in Computer Science
- Foundations of Natural Language Processing
- Mobile Application Development
- Nature-inspired Computation and Modelling
- Cryptography
- Robotics
- Turing Research Project
- Self-directed Professional Development
- Cyber Threat Hunting and Digital Forensics
- Testing and verification in safety-critical systems
- Cybersecurity Team Project
- Computer Vision
- Human-Computer Interaction and Visual Analytics
- Cognitive and Biomimetic Robotics
- Parallel Computing with Graphical Processing Units (GPUs)
- Development of Secure Software
- Speech Technology
- Software and Hardware Verification
- Reinforcement Learning
Questions about this course
How much do graduates of MComp Computer Science at University of Sheffield earn?
The median salary is £34,000 after 15 months, £38,500 after 3 years, £53,000 after 5 years. After five years the middle half of graduates earn between £43,000 and £68,500. The £53,000 median after five years is £15,500 more than the UK median for Electrical and electronic engineering.
What do graduates of MComp Computer Science at University of Sheffield do next?
90% were in work or further study 15 months after finishing (Graduate Outcomes 2023-24).
Are students happy with the teaching on MComp Computer Science at University of Sheffield?
86% of final-year students were positive about the teaching in the National Student Survey 2025-26.
What grades do I need for MComp Computer Science at University of Sheffield?
The typical offer is A*AA at A level. The average entrant had 166 UCAS points.
Is MComp Computer Science at University of Sheffield accredited?
Yes. Accredited by BCS, the Chartered Institute for IT on behalf of the Engineering Council for the purposes of fully meeting the academic requirement for registration as a Chartered Engineer. Accredited by BCS, the Chartered Institute for IT for the purposes of fully meeting the further learning academic requirement for registration as a Chartered IT Professional. Accredited by BCS, the Chartered Institute for IT for the purposes of fully meeting the academic requirement for registration as a Chartered IT Professional.
Does MComp Computer Science at University of Sheffield include a placement year or year abroad?
The course has an optional placement year and an optional year abroad.
How many students continue on MComp Computer Science at University of Sheffield?
95% of students continued into their second year, and 5% left higher education.