About the Programme

Students in the MPhil and PhD degree programmes are required to successfully:
 

1.  Complete a minimum of six credits of coursework for MPhil/nine credits of coursework for PhD,
2.  Present seminars (2 for MPhil/3 for PhD), and
3.  Submit a thesis.

Students in the MPhil and PhD degree programmes should discuss with their Supervisor suitable courses which would satisfy the credit requirements. Courses should be completed in the first year.

Compulsory Seminar Presentations

For each seminar, candidates are required to write and present a paper to be photocopied and distributed beforehand on a topic arising out of their research, as well as to field questions put to them afterwards.

Candidates are required to present and defend a Thesis of acceptable scope and qualify for the degree. The Thesis must follow the guidelines set out in the University’s Thesis guide.

The successful completion of the required coursework, the compulsory Seminar presentations and the Thesis will lead to the award of the Degree.

What Will I Study?

• Optical Communication, Digital Signal Processing, Sensor Technology and Mobile Applications​

• Climate Modelling, Visualization and Mobile Applications​

• Network and Computer Security, Machine Learning, and Wireless Networks​

• Human-Computer Interaction – Special focus on user Interface Design for Blind and Deaf users, as well as the creation and use of Specialized Software for Science Education​

• Distributed Computing with focus on High Performance Computing (including Clusters and Grid Computing), Security in ad hoc Mobile Networks​

• Algorithms and Complexity, Distributed Systems and Grid Computing​

• Believable Agents, Cognitive AI, AI in Games, Database Integration​

• Lifestyle Technologies, Mobile Apps for Health, Health Informatics, Software Engineering, Software Quality Assurance, Software Testing. Smart Technologies and IoT​

• Frameworks and methodologies for Computer Science Education Computer-Assisted Education​

• Visual Complexity Analysis, Distributed Systems, Self-stabilizing Algorithms, Applied GraphTheory​

• Computers in Education, E-commerce, Computer Gaming in Education and Computer Vision​

Research

Computer Science

• Optical Communication, Digital Signal Processing, Sensor Technology and Mobile Applications
• Climate Modelling, Visualisation and Mobile Applications
• Network and Computer Security, Machine Learning, and Wireless Networks
• Machine Learning and Human Computer Interaction improving accessibility and preserving heritage
• Distributed Computing with focus on High Performance Computing (including Clusters and Grid Computing), Security in ad hoc Mobile Networks
• Algorithms and Complexity, Distributed Systems and Grid Computing
• Believable Agents, Cognitive AI, AI in Games, Database Integration
• Lifestyle Technologies, Mobile Apps for Health, Health Informatics, Software Engineering, Software Quality Assurance, Software Testing. Smart Technologies and IoT
• Frameworks and methodologies for Computer Science Education Computer-Assisted Education
• Visual Complexity Analysis, Distributed Systems, Self-stabilizing Algorithms, Applied Graph Theory
• Computers in Education, E-commerce, Computer Gaming in Education and Computer Vision

Additional Information

 
 

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