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MEng Computer Science and Artificial Intelligence

University of Surrey

Institution
University of Surrey
Level
undergraduate
Subject
Computer Science and Artificial Intelligence MEng
Duration
4 years
UCAS code
G567

Entry requirements

A level: AAA / Required subjects: Mathematics IB: 35 / Required subjects: Mathematics HL5/SL6 BTEC: D*DD. Additionally, A-level Mathematics at Grade B.

About this course

MEng in Computer Science and Computer Science (Artificial Intelligence). Core topics include Programming, Systems Design, Computer Architecture, Embedded Systems, Data Analysis, Statistics, Mathematical Modelling, Project Management, Policy Analysis, Entrepreneurship, and Artificial Intelligence & Machine Learning. This four-year undergraduate programme provides comprehensive study in computational theory, software development, and advanced machine learning methodologies.

Modules

  • Computer Logic
  • Foundations Of Computing
  • Data And Database Systems
  • Foundations Of Computing Ii
  • Data Structures And Algorithms
  • Operating Systems
  • Software Engineering And Object-Oriented Programming
  • Academic And Professional Skills Development In Computer Science
  • Artificial Intelligence
  • Further Programming Paradigms
  • Computer Security
  • Advanced Algorithms
  • Deep Learning And Advanced Ai
  • Computer Networking
  • Computer Vision & Graphics
  • Parallel Computing
  • Collaborative Project Using Web Applications
  • Information Security Management
  • Computational Intelligence
  • Computer Vision And Pattern Recognition
  • Privacy Enhancing Technologies
  • Robotics
  • Natural Language Processing
  • Data & Internet Networking
  • Applied Machine Learning
  • Law, Artificial Intelligence And Technology
  • Professional Project In Ai
  • Multi-Disciplinary Design Project
  • Ar, Vr And The Metaverse
  • Medical Robotics
  • Artificial Intelligence Of Things
  • Topics In People-Centred Ai
  • Advanced Topics In Computer Vision And Deep Learning
  • Cloud Computing
  • Ai And Health
  • Ai And Sustainability
  • Network Security
  • Applications Of Econometrics To Big Data