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Computer Science (Networks and Distributed Systems) (M.Sc. / P.Grad.Dip.)

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Course Details

The M.Sc. programme in Computer Science equips students with the theoretical and practical background necessary to enable them to participate in the design of complex networked and distributed computing systems, as well as to undertake research in this area.

The programme is assessed based on a combination of assigned coursework, written examination, and a dissertation.

The programme is composed of a number of modules that are taken by all students.

These modules include:

  • Networked applications: covers applications of the Internet and Intranets ranging from email and the Web to electronic commerce; collaboration and community services; distributed artificial intelligence; and information retrieval.
  • Data communications and networks: introduces the fundamentals of computer networks and networking technology.
  • Distributed systems: covers the most important paradigms for building distributed applications including client-server computing, distributed object technology, and component models.
  • Software engineering for concurrent and distributed systems: covers objectoriented analysis and design techniques and their application to concurrent and distributed systems.
  • Security and management of networks and distributed systems: introduces the fundamentals of computer and network security and investigates different approaches to network management and the management of advanced information services.

Admission Requirements

This course is open to graduates who have achieved the equivalent of at least an upper second-class honors degree, or better, in computing, information technology, or a related discipline. Well qualified candidates from disciplines such as engineering, mathematics, statistics, or physics who have sufficient knowledge of computing (including the ability to program) may also be accepted.This course is open to graduates who have achieved the equivalent of at least an upper second-class honors degree, or better, in computing, information technology, or a related discipline. Well qualified candidates from disciplines such as engineering, mathematics, statistics, or physics who have sufficient knowledge of computing (including the ability to program) may also be accepted.

This course has been co-funded under the National Development Plan (Graduate Skills Conversion Programme) for EU fee paying students.

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Last updated 14 March 2012 by Postgraduate (Email).