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Information Technology - Structured

Course Overview

The Structured PhD, full-time, is a 4-year programme which offers added value to the core component of doctoral training. Students on this programme are offered disciplinary or dissertation specific modules, as well as generic and transferable skills designed to meet the needs of an employment market that is wider than academia.

The programme is flexible and student centred, as candidates choose their own pathways in consultation with their Supervisor and Graduate Research Committee.

Part-time programme:
The part-time Structured PhD is a 6-year programme which offers added value to the core component of doctoral training. Students on this programme are offered disciplinary or dissertation specific modules, as well as generic and transferable skills designed to meet the needs of an employment market that is wider than academia.

The programme is flexible and student-centered as candidates choose their own pathways in consultation with their Supervisor and Graduate Research Committee

Entry requirements

PhD—high Honours standard in the primary degree

Duration

Structured PhD (full-time, four years)
Structured PhD (part-time, six years)

Further enquiries

Ms. Tina Earls
E tina.earls@nuigalway.ie

Application date

Course Code: Structured PhD, full-time—1SPE1 (four years duration) Structured PhD, part-time—1SPE2 (six years duration)

Applications are made online via the NUI Galway Postgraduate Applications System.

Research areas

Current research projects–

Handling Nonlinearity and Uncertainty in Drug Delivery Modelling. (Dr. Michael Madden)

Information Retrieval and Game Theory (Colm O'Riordan)

Quality of service (QoS) of VoIP over wireless networks based on synchronised time (Dr. Hugh Melvin)

Research Areas

Artificial Intelligence
Collaborative Virtual Environments
Computational Intelligence
Computers and Society
Distributed Systems and Cooperative Systems
Energy Informatics and Sensor Networks
Enterprise Computing
Image Processing
Machine Learning and Data Mining
Medical Informatics
Simulation and System Dynamics

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