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Computer Science

  • DeadlineStudy Details:

    MSc 1 year full-time, 2 years part-time

Course Description

Computer science is one of the fastest growing subjects around the world. From its theoretical and algorithmic foundations to cutting-edge development in robotics and intelligent systems, it is a wide field which needs an increasing number of suitably educated individuals to support it.

This computer science masters introduces you to a number of software and hardware technologies and their real world applications.

You’ll learn about abstraction, complexity, evolutionary change, sharing of common resources, security and concurrency.

From system functionality to usability and performance, you’ll also be better placed to solve real-life problems with an understanding of how they affect people’s lives.

Entry Requirements

This course is designed for graduates with a minimum 2:2 Honours degree or equivalent in a computing or strongly related subject.

Applicants should be proficient programmers.

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Fees

Information on tuition fees is available on our Home and EU/International fees pages.

Student Destinations

Graduates with an MSc Computer Science will be suitable for roles in software development, database administration, computer hardware engineering, computer systems analysis, computer network architecture, web development, information security analysis, computer programming and computer networks.

Students who complete computing masters will be educated to a professional standard in a range of fields related to computer science, and will have improved transferable skills including problem solving, communication, team working, effective use of IT facilities and information retrieval.

With training to Masters level now the recognised professional level of competence, graduates will be better placed to pursue careers in industry, or continue their interest in computer science through a computing research degree or computing PhD.

Module Details

  • Object Oriented Programming with Data Structures and Algorithms – 40 credits
  • Data Mining – 20 credits
  • Distributed Computing – 20 credits
  • Project Management and Research Methodology – 20 credits
  • Robotics – 20 credits (optional)
  • Mobile Application Development – 20 credits (optional)
  • Intelligent Systems – 20 credits (optional)
  • MSc Project – 60 credits

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