Asia Pacific University of Technology & Innovation (APU)

Bachelor of Computer Science (Hons) (Intelligent Systems)

Program outline

This program is specifically designed to provide students with:

• The ability to design and develop systems that exploit artificial intelligence techniques such as machine learning, fuzzy logic, natural language processing, etc.
• The ability to critically evaluate design paradigms, languages, algorithms, and techniques used to develop complex software systems.
• The ability to evaluate and respond to opportunities for developing and exploiting new applications of artificial intelligence.

Degree level 1

Students will learn fundamental skills required by every IT professional, and the basic understanding of artificial intelligence techniques and algorithmic thinking. Some specialized modules will provide the basic knowledge of underlying computer systems such as computer architecture, operating systems, networks, and databases. The modules will also help them develop personal and organizational skills, as well as nurture creativity and innovation.

Common modules

• Digital Thinking and Innovation
• Intercultural Awareness and Cultural Diversity
• System Analysis & Design
• Python Programming
• Mathematical Concepts for Computing
• Operating Systems & Computer Architecture
• Introduction to Networking
• Introduction to Databases

Specialized modules

• Introduction to Artificial Intelligence

Elective modules (choose 1)

• Introduction to Object-Oriented Programming
• Introduction to C Programming

Degree level 2

A broader range of skills will be learned, in which the students will gain a better understanding of artificial intelligence techniques such as machine learning, fuzzy logic, and natural language processing. They will gain a solid understanding of techniques used to develop complex software systems that include data acquisitions via various sensors. We will further nurture their creativity and innovation as well as independent learning to prepare them for the workplace.

Common modules

• Object-Oriented Development with Java
• System Development Methods
• Programming for Data Analysis
• Creativity & Innovation
• Research Methods for Computing and Technology

Specialized modules

• AI Methods
• Probability & Statistical Modeling
• Human-Computer Interaction
• Data Structures
• Imaging & Special Effects
• System Programming & Computer Control

Elective modules (choose 1)

• Mobile App Engineering
• Enterprise Internet of Things

Internship (16 weeks)

Students will undertake an Internship/Industrial Training for a minimum period of 16 weeks to prepare them for a smooth transition from the classroom to the working environment.

Degree level 3

Students will make use of their previous studies and industrial experience to extend their familiarity in the field of intelligent systems and to refine their personal and professional development. Students will move further into artificial intelligence design paradigms and algorithms, programming techniques, and statistical techniques applicable to artificial intelligence. A final year project requires them to investigate and develop a solution for a real-world problem - they will demonstrate their ability to combine technical knowledge, critical thinking, and analytical skills to produce a personal achievement portfolio.

Common modules

• Innovation Management & New Product Development
• Enterprise Programming for Distributed Applications
• Project Management

Specialized modules

• Further Artificial Intelligence
• Image Processing, Computer Vision & Pattern Recognition
• Emergent Technology
• Knowledge Discovery and Big Data Analytics
• Investigations in Intelligent Systems
• Intelligent Systems Project

Elective modules (choose 2)

• Algorithmics OR ​Text Analytics & Sentiment Analysis
• Ubiquitous Computing OR Critical Issues in Managing IS in Organisations

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)
• Workplace Professional Communication Skills
• Employee & Employment Trends
• Co-Curriculum

(*All students are required to successfully complete these modules as stipulated by the Malaysian Qualification Agency.)

Career options

• Business Decision Support Engineer
• Robotics R&D Engineer
• Backend Game Developer
• Machine Learning Engineer
• Deep Learning Scientist
• Artificial Intelligence (AI) Engineer
• ​Artificial Intelligence (AI) Specialist
• Algorithm Specialist
• Machine Vision Engineer
• AI Platform Architect
• Artificial Intelligence Analyst
• NLP Engineer