Degree 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

• Specialised Modules
• Introduction to Management
• Systems Analysis & Design
• Fundamentals of Software Development
• Mathematical Concepts for Computing
• Operating System & Computer Architecture
• Introduction to Networking
• Introduction to Databases
• Computing & IT in the Workplace
• Introduction to C Programming
• Introduction to Artificial Intelligence

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.

Degree 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.

Professional development, fostering creativity and innovation in individuals and teams, and independent learning are continuous themes in your studies at APU. This year ends with an internship that offers you an opportunity to move outside the classroom and show your professionalism in the workplace.

Common Modules

• Specialised Modules
• Object Oriented Development with Java
• System Development Methods
• Professional & Enterprise Development
• Creativity & Innovation
• Research Methods for Computing & Technology
• Workplace Professional Communication Skills
• Employee & Employment Trends
• Computing Theory
• Data Structures
• Concurrent Programming
• Data Management
• Business Intelligence Systems
• Probability & Statistical Modelling
• Data Mining & Predictive Modelling

Internship (16 Weeks)

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 Computer Science.

Degree 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

• Specialised and Option Modules
• Innovation Management & New Product Development
• Project Management
• Algorithmics
• Real-Time Systems
• Emergent Technology
• Text Analytics & Sentiment Analysis
• Behavioural Science and Marketing Analytics
• Database Security
• Optimisation Concepts for Data Science
• Investigation in Data Analytics
• Data Analytics Project

MQA Compulsory Subjects*

• Ethnic Relations (M’sian Students)
• Islamic & Asian Civilisation (M’sian Students) 
• Malaysian Studies (Int’l Students)
• Malay Communication Language (Int’l Students)
• Co-Curriculum

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• Bsc (Hons) In Computer Science With A Specialism In Data Analytics
• Bsc (Hons) In Computer Science
• A Specialism In Data Analytics