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MEng Computer Science

University of York

Institution
University of York
Level
undergraduate
Subject
Computer Science
Duration
4 years
UCAS code
I102
Typical offer
A-level AAB, IB 37

Entry requirements

A level: A*AA including Mathematics. If you are studying towards a fourth A level, we will make an alternative offer of AAAA including Mathematics. IB: 37 points overall, including 5 in Higher Level Mathematics (either Analysis and Approaches or Applications and Interpretations), or 6 in Standard Level Mathematics (Analysis and Approaches). BTEC: DDD plus grade B in A level Mathematics (or equivalent qualification) We consider a range of BTEC qualifications equivalent to 3 A Levels, or in combination with A Levels or other qualifications. For example: Distinction, Distinction in BTEC Level 3 National Diploma plus A in A Level Mathematics Distinction in BTEC Level 3 National Extended Certificate plus AA at A level including Mathematics Distinction, Distinction in 2 BTEC Level 3 National Extended Certificates plus A in A Level Mathematics

About this course

MEng (Hons) Computer Science, a computer science degree focused on technical and theoretical computing principles. Core topics include Programming, Systems Design, Computer Architecture, Embedded Systems, Data Analysis, Research Methods, and Artificial Intelligence & Machine Learning. Students complete a placement year option and study in dedicated computing facilities. The first year covers foundational concepts through compulsory modules such as Software 1: Foundations of Programming for Computer Science, Theory 1: Mathematical Foundations of Computer Science, Human-Computer Interaction, Software 2: Object-Oriented Data Structures and Algorithms, Systems and Devices 1: Introduction to Computer Architectures, and Theory 2: Formal Languages and Automata. The second year progresses to engineering and systems with compulsory modules including Engineering 1: Software and Systems Engineering, Systems and Devices 2: Operating Systems, Security and Networking, Theory 3: Computability, Complexity and Logic, Intelligent Systems: Machine Learning and Optimisation, Data: Introduction to Data Science, and Systems and Devices 3: Advanced Computer Systems. Third-year studies centre on the Computer Science Project alongside optional modules spanning areas such as Autonomous Robots, Cryptography Theory and Practice, Deep Learning, and Network Security. The fourth year concludes with the Group Project (Integrated Masters) module.

Modules

  • Software 1: Foundations of Programming for Computer Science
  • Theory 1: Mathematical Foundations of Computer Science
  • Human-Computer Interaction
  • Software 2: Object-Oriented Data Structures and Algorithms
  • Systems and Devices 1: Introduction to Computer Architectures
  • Theory 2: Formal Languages and Automata
  • Engineering 1: Software and Systems Engineering
  • Systems and Devices 2: Operating Systems, Security and Networking
  • Theory 3: Computability, Complexity and Logic
  • Intelligent Systems: Machine Learning and Optimisation
  • Data: Introduction to Data Science
  • Systems and Devices 3: Advanced Computer Systems
  • Computer Science Project
  • AI Search & Logic
  • Autonomous Robots
  • Cryptography Theory and Practice
  • Embedded Systems Design and Implementation
  • Engineering 2: Automated Software Engineering
  • Ethical Hacking, Analysis and Investigation
  • High-Integrity Systems Engineering
  • High-Performance Parallel and Distributed Systems
  • Human Factors: Technology in Context
  • Deep Learning
  • Legal Practice, Technology and Computer Science
  • Network Security
  • Player Experiences in Digital Games
  • Qualitative Approaches to Investigating UX
  • Quantum Computation
  • Research Methods in Computer Science
  • Cloud based Data Analysis
  • Engineering LLM-Based Agents and Applications
  • Game Design & Development in Real-Time Engines
  • Governance of Data Science
  • Large Language Model
  • Natural Language Processing
  • Group Project (Integrated Masters)