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BSc Computer Science (Extended Degree)

Northumbria University

Institution
Northumbria University
Level
undergraduate
Subject
Computer Science (Extended Degree) BSc (Hons)
Duration
4-5 years
UCAS code
Z063
Typical offer
A-level CA, UCAS 56-72

Entry requirements

UCAS Tariff: 56 to 72 Tariff Points Subject requirements: There are no specific subject requirements for this course.

About this course

BSc (Hons) in Computer Science, focusing on software development and intelligent systems. Core topics include Programming, Systems Design, Computer Architecture, Embedded Systems, Data Analysis, Artificial Intelligence & Machine Learning. Students can choose a 4-year full-time route or a 5-year option incorporating a placement or study abroad.

Modules

  • Personal, Academic and Skills Development
  • Digital Technologies
  • Introduction to Information Systems
  • Code wrangling for beginners
  • Digital Society Case Study
  • Introduction to Physical Computing
  • AI Fundamentals
  • Computational Thinking
  • Computers & Society
  • Computing Fundamentals
  • Data Fundamentals
  • Programming
  • Skills for Academic Success in a UK University
  • Advanced Programming
  • Algorithms and Data Structures
  • Software Architecture
  • Computer Vision
  • Computing Consultancy Project
  • Data Visualization
  • Digital Forensics Incident Response
  • Human-Computer Interaction
  • IT Service Management
  • Mobile & Web App Development
  • Indie Games Studio
  • Contemporary Issues in Computing and Digital Technologies
  • Developing Digital and Professional Competence
  • London Campus UG Internship
  • London Campus Undergraduate Professional Practice
  • London Campus UG Group Consultancy Project
  • Skills for Academic Success in a UK University
  • Work placement year
  • Study abroad year
  • Advanced Security
  • Big Data
  • Business Intelligence
  • Cloud Computing
  • Computing Project
  • Computing Group Project
  • Data Analytics
  • Data Security and Governance
  • Experimental Design for Interactive Applications
  • Machine Learning
  • Robotics & Automation
  • Contemporary Methods of Software Development
  • Skills for Academic Success in a UK University