Master of Science (Computer Science)

Here's the BIG Picture

Computer science is one of the best fields to get into if you're looking for great career prospects, and have an interest in the subject. Organisations need individuals with specialised computing and scientific expertise, who can work effectively in multidisciplinary teams, to communicate innovative ideas that improve the quality of life.

As such, this programme is designed to provide students with high-quality education, that enhances knowledge gained from under-graduate studies. Our modules are designed with the needs of the tech industry in mind. Get the opportunity to learn hands-on, build industry connections while you study, and get an edge for success over other graduates.

With this Course You Will:

• Advance your knowledge: get a deeper understanding of the theoretical foundations of computer science, programming, algorithm design, and more 
• Delve into specialization: build your expertise in a particular area of computer science that can be valuable in your future career
• Experience hands-on learning: work on real-world projects, and collaborations with faculty members and industry partners

COURSE MODULES

Advanced Algorithms  

This module introduces a broad spectrum of efficient algorithms, applicable to a wide range of domains and computational models. The topics covered include Abstract Data Types, Recursive, Sorting Techniques, Heap, Heapsort, LinkedList, Binary Search Trees, Sequential Searching Techniques, Algorithms Efficiency Techniques, Stack and Queue. 

 

Discrete Structure 

This module enables students to strengthen and increase their understanding of discrete mathematical structures and their applications in computer science. Topics include sets, proof techniques, formal logic, functions and relations, recurrence relations, counting, graphs, trees, and selected topics in number theory.    

Simulation and Modelling Techniques 

This module introduces fundamental principles and concepts in the general area of systems modelling and simulation. It aims to provide students with in-depth knowledge in designing simulation models and analysing simulation data, with the purpose of studying and examining various aspects of the systems being simulated.

Graduate Seminar  

This module will provide students with exposure, and knowledge sharing in computer science related research works, technologies, practices, and latest developments.  

 

Research Methodology and Academic Writing 

This module provides students with the fundamental knowledge needed to conduct and present research. The first part will introduce students to a number of research methods useful for academic and professional investigations of information practices, texts and technologies. Understand the various decisions and steps involved in crafting (and executing) research methodology, and critically informed assessments of published research. The second part will prepare students with the tools for success to write for any academic discipline at the graduate level, emphasising skills for improving grammatical and lexical accuracy in written communication.

Current Issues in Computing 

In an era where information technology changes constantly, a thoughtful response to these rapid changes requires a basic understanding of IT history, an awareness of current issues, and a familiarity with ethics. Discover a range of ethical problems and issues encountered by computer professionals today, and discuss contentious issues such as social networking, privacy laws, intellectual property, and more, from all points of view. Students are asked to think critically and draw their own conclusions, which ultimately prepares them to become responsible, ethical users of future technologies.  

 

Artificial Intelligence Analysis and Design 

Artificial Intelligence (AI) is an important branch in computer science that studies and develops intelligent machines and software. This module covers advanced concepts and techniques in Artificial Intelligence. Major topics covered include solving problems by searching, logical agents, inference in first-order logic, planning, uncertain knowledge and reasoning, learning, and robotics.  

 

Functional Programming Language 

This module is an exploration of the important concepts in modern programming languages. Study the evolution of programming languages, and common properties found in programming languages. Topics covered include syntax and semantics, names, bindings, scopes, data types, expressions, assignment statements, and more.

Computer Science Master Project I 

Students will plan and carry out a suitable research proposal project and present confidently. The project title/area is based on students’ interest, covering, but not limited to: IOE (internet of Everything), Cloud Computing, Big Data/Data Analytics, Extended Reality (AR/VR/MR), Blockchain/Business Technology, Cyber Security, Human-Machine Interaction, and DevOps (Coding Development and Operation).

Computer Science Master Project II 

This is a continuity from the Master Project 1 module, which will give students the opportunity to put their theories and research into practice, by developing and implementing their ideas. In this module, students will be expected to plan and carry out a suitable research project scientifically, present results confidently, and produce a scientific report. 

ELECTIVE MODULES

Choose 3:

Cloud Computing  

This module will explore the principles, foundations, and applications of cloud computing. Students will also learn about its effects on information technology processes and the IT marketplace. Students will get the opportunity to study this new paradigm of computing in which dynamically scalable, and often virtualized, resources are offered as services over the internet. The module will also provide practical learning experiences regarding the deployment and utilisation of cloud computing services.  

Knowledge Discovery and Data Mining  

With advances in computer technology and network communications, the amount of data in the world seems ever-increasing. Proper approaches to automatically analyse the data and flag anomalies, are needed in a variety of domains, including market analysis, business management, and fraud detection. As a result, data mining, a study concerned with knowledge extraction from large databases and the Web, has emerged as a major field of study within Computer Science. Therefore this module aims to provide students with an understanding of industry-standard methodologies for data mining.

Advanced Machine Learning  

Machine learning is the force behind many recent revolutions in computing, and has emerged as one of the most active and central areas of research in Artificial Intelligence. This module is intended to provide students with a solid grounding in the theory, methods, statistics, mathematics and algorithms needed to do research and applications in machine learning.

 

Currents Practices in Cyber Security  

This module introduces students to the field of information security and provides students with the knowledge of security mechanisms for electronic information, the theoretical and practical aspects of cryptography, computer security, and network security, as well as security management. The module also includes advanced topics that will discuss current and future developments in information security. 

 

Intelligent Multi-Agent Systems

An agent is a sophisticated autonomous computer program that practices centralized problem solving. This module will explore the theory, methods and algorithms of autonomous agents with an emphasis on Multi-Agent Systems (MAS). Topics covered include agent architectures and organizations, agent communication, the properties of multi-agent systems, cooperative and competitive agent environments, distributed cognitive abilities and problem solving, and multi-agent learning.