Master Of Science (Computer Science)

1. CORE COURSES (25 CREDITS)

• Algorithms (3 credits)

• Discrete structure (3 credits)

• Simulation and modelling techniques (3 credits)

• Artificial intelligence (3 credits)

• Programming language concepts (3 credits)

• Master project (10 credits)*

 

2. UNIVERSITY CORE COURSES (6 CREDITS)

• Graduate seminar (1 credit)

• Research methodology and academic writing (3 credits)

• Fundamental issues in computing (2 credits)

 

3. ELECTIVE COURSES (9 CREDITS) – CHOOSE 3 SUBJECTS ONLY
3.1 Algorithms and Theory Domain (3 credits for each subject)

• Complexity theory

• Cryptography

• Geometric modelling

• Computational techniques for science and engineering

3.2 Computer Systems Domain (3 credits for each subject)

• Performance analysis of queueing systems

• Cloud computing

• Information security

• Service-oriented architecture

• Compiler construction

3.3 Knowledge Systems Domain (3 credits for each subject)

• Intelligent multi-agent systems

• Data mining

• Machine learning

• Computational linguistics

3.4 Software Engineering Domain (3 credits for each subject)

• Requirements engineering

• Software testing and quality assurance

• Software design methodologies

• Interface design methodology

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* Master project (10 credits):

• Abundant Data Applications, Algorithms, and Architectures

• Data Science Research

• Information Security and Cryptography

• Security of Computer Systems and Support for Digital Democracy

• Programming Languages, Software Engineering and Mobile Computing

• Machine Learning and Intelligent Systems

• Internet of Things

• Graphics and Visual Computing