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Information Technology - Research

Programme Aims:
The Department of Information Technology offers you the opportunity to pursue Masters (MSc or MBS) and Doctorate (PhD) by Research. As a postgraduate you will be assigned one or more internal academic supervisors as well as other external supervisors where collaborative research projects are involved. You will have access to the entire range of resources within the Department and will be encouraged to carry out research to the highest standards.

Entry requirements

Entry Procedure

The Normal Entry Standard for a Master's Degree is an Honours Degree (Level 8) with a minimum level 2nd Class Honours in a field of study directly related to the subject matter of the Master's Degree. After 12-18 months of successful study, you will have the opportunity to transfer to a PhD. If you are interested in pursuing a higher Degree within the Department of Information Technology, you should contact the research coordinator after identifying a research topic that aligns with the areas of expertise outlined above.

Further enquiries

Research Coordinator for Information Technology:
Dr. Ken Oakley Tel: 061 293832 Email:

Course Contact
Ms. Kathleen Leamy
Tel: 061 293526

School/Faculty Contact
Telephone: +353 - 61- 293000
Fax: +353 - 61- 293001

Head of Department
Ms. Janice O Connell, BSc, Grad Dip, MSc

Head of School/Faculty
Ms. Maria Kyne, B.E., M.Eng. Science, H.Dip. Ed, C.Eng, FIEI
Paschal Meehan, B. Eng (Hons), EEP, FTC

Ms. Kathleen Leamy


Campus: Limerick (Moylish)

Research areas

Approach To Research
At LIT, there is a strong focus on postgraduate training and supervision. LIT is now part of the Shannon Consortium Graduate Training Development Network Programme, which provides an exceptional environment for postgraduate learners to develop research skills in preparation for a career towards leading research in the private and public sectors.

Research Areas

Computer Forensics & Security
Computer Forensics Platforms
Computer Systems Security
System Analysis
User Cognition Analysis
E-Voting Systems

Data Networks For Specialist Applications
Wireless Networks
Energy Control and Management Networks
Powerline Carrier
Intelligent Power Grids
Data Communication Networks/Security
Embedded Network Devices

Enterprise Technology
Logistics and Supply Chain
Solutions Architectures
Computer Integrated Operations Management
Computer Based Training

Data Mining
Artificial Intelligence
Genetic Algorithms
Machine Learning

Social Networking
Online Collaborative Technologies
Virtual Learning Environments
Semantic Web

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