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This programme is specifically designed to provide:

Admission required:


Level 1

The first year is packed with modules that provide the fundamental skills required by every IT professional. Systems analysis & design and introduction to programing in an appropriate language provide a foundation in the area of software development. A sound grasp of mathematical techniques and skills in algorithmic thinking are important pre-requisites for your second and third year studies in this area. Computer architecture, operating systems, networks, databases, data analytics, behavioural science and marketing analytics are the area of the platform or underlying analytics systems. Introduction to management introduces the third key area, understanding personal and organisational development, along with independent learning and teamworking skills

Common Modules

Introduction to Management

System Analysis & Design

Fundamentals of Software Development

Mathematical Concepts for Computing

Operating Systems & Computer Architecture

Introduction to Networking

Introduction to Databases

Specialised Modules

Introduction to C Programming

Introduction to Data Analytics

Behavioural Science and Marketing Analytics

In addition to the above, all students are also required to successfully complete General Studies modules as stipulated by the Malaysian Qualification Agency, as well as fulfill credit requirements for Co-Curricular Activities

Level 2

Computer Science involves designing and implementing software, devising new ways to use computers and developing effective ways to solve computing problems. It spans a wide range, from theoretical and algorithmic foundations to cutting edge developments in all areas of computing. Successful professionals with a degree in computer science are flexible in performing a range of computing tasks, and extend theories and practice in every area of computing. In your second year, the core modules take development skills to the next level and deepen your understanding of platform technology, while specialised modules allow you to go further into statistical modelling, data mining and predictive modelling.

Common Modules

Object Oriented Development with Java

System Development Methods

Professional & Enterprise Development

Creativity & Innovation

Research Methods For Computing & Technology

Specialised Modules

Computing Theory

Data Structures

Concurrent Programming

System & Network Administration

Computer Systems and Low Level Techniques

Probability & Statistical Modelling

Data Mining & Predictive Modelling


After the completion of Level 2 students will undertake a short Internship / Industrial Training. This will prepare them for a smooth transition from the classroom to the world of Information Technology

Level 3

In your third year you draw on your previous studies and industrial experience to refine your personal and professional development in the field of computer science, supported by specialised training in project management and new product development. Other core modules help you develop new skills in advanced programming techniques and algorithms, and evaluating applications at the frontiers of current technology. Specialised modules allow you to extend the capabilities you developed from previous studies of databases and analytics specifically in the area of database securities, text analytics, sentiment analysis, business intelligence, and optimisation concepts.

For your final year project, you investigate and develop a solution for a real world problem. This provides proof of your ability to combine technical knowledge, critical thinking, and analytical skills to achieve a goal, which is an important addition to your personal achievement portfolio.

Common Modules

Innovation Management & New Product Development

Project Management

Specialised Modules


Real-Time Systems

Emergent Technology

Text Analytics & Sentiment Analysis

Business Intelligence Systems

Database Security

Optimisation Concepts for Data Science

Investigation in Computer Science

Computer Science Project


Develop the technical knowledge, skills and background to design, organise and support computer systems with an emphasis on data analytics. Provides the skills required to progress into innovative data sciences.

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