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MComp Computer Science (with an industrial placement year)

University of Sussex

Institution
University of Sussex
Level
undergraduate
Subject
Computer Science (with an industrial placement year) MComp
Duration
5 years
UCAS code
G41F
Typical offer
A-level AAB, IB 34

Entry requirements

A level: AAB or ABB IB: 34 points

About this course

MComp in Computer Science, focusing on advanced computing systems and software development. Core topics include Programming, Computer Architecture, Data Analysis, Entrepreneurship, and Artificial Intelligence & Machine Learning. Students complete an individual project in the final year and can undertake a professional placement year in industry.

Modules

  • Introduction to Programming
  • Mathematical Concepts
  • Programming Concepts
  • Data Structures & Algorithms
  • Further Programming
  • Introduction to Computer Systems
  • Professional Skills
  • Global Design Challenge
  • Introduction to Cognitive Science: Minds, Machines and Consciousness
  • Principles of Digital Technology
  • Industry Ready: Mastering the Placement Application Process
  • Compilers and Computer Architecture
  • Databases
  • Design and Analysis of Algorithms
  • Computer Networks
  • Operating Systems
  • Software Engineering
  • Game Design and Development
  • Introduction to Data Science
  • Applied Machine Learning
  • Individual Project
  • Comparative Programming
  • Human-Computer Interaction
  • Introduction to Computer Security
  • Limits of Computation
  • Advanced Natural Language Engineering
  • Neural Networks
  • Technology-Enhanced Learning Environments
  • Web 3D Applications
  • Advanced Software Engineering
  • Topics in Computer Science
  • Engineering Scalable and Reliable Software Project
  • Entrepreneurship
  • Web Applications and Services
  • Algorithmic Approaches to Mathematics
  • E-Business and E-Commerce Systems
  • Managing Innovation
  • Mobile Communications
  • Quantum Computing
  • 3D Modelling and Animation
  • Adaptive Systems
  • Cryptography (L.7)
  • Image Processing
  • Machine Learning
  • Mobile 3D Applications
  • Technology-Enhanced Learning Environments