This programme equips students with a broad range of knowledge and technical skills in essential facts, concepts, principles, and theories relating to Artificial Intelligent Systems. Students will study modules focusing on intelligent systems, data science & analytics, machine learning, IoT and intelligent systems integration, natural language processing and mobile platform programming. Emphasis is placed on application of theoretical principles, data structures & algorithms to optimize the performance of Intelligent Systems. These are essential skills for today’s cloud computing and big data analysis. Also, students will undergo internships where they will gain hands-on experience.
The Programme objectives are to:
Equip students with knowledge and technical competencies in Intelligent Systems for today’s dynamic IoT and Cloud Computing environment.
Equip students with the ability to provide innovative, creative, and ethical integrated solutions for Intelligent Systems.
Equip students with communication, teamwork, leadership, entrepreneurial, and social skills.
Produce graduates who can work globally and engage in research and life-long learning.
Curriculum
YEAR 1
Mathematics in Computing
Basic Computing Principles
Programming Methods
System Analysis and Design
Computer Ethics and Cyber Law
Digital Electronics
Discrete Mathematics
Introduction to Intelligent Systems
Computer Networks
Database Systems
Structured Programming
YEAR 2
IT Project Management
Business Intelligence
Database Management Systems
Generic Programming
Operating Systems
Visual Programming
Software Development
Embedded Systems
Computer Architecture
Multimedia Systems
Object Oriented Programming
Data Structures and Algorithms
YEAR 3
Project 1
Human Computer Interaction
Artificial Intelligence
Elective I
Elective II
Project 2
IOT and Intelligent Systems Integration
Machine Learning
Natural Language Processing
Elective III
Elective IV
Elective I & II
Data Science Analytics
Mobile Platform Programming
Large-Scale Computing
3D Modeling
Elective III & IV
Real-Time Analysis and Design
Cloud Computing
Distributed Systems
Rich Media Technology
Upon completion of Year 2, students are required to undergo 12 weeks of industrial training.
Entry Requirements
STPM – Minimum 2Cs with credit in Additional Mathematics or credit in Mathematics and Science/ Technology/Engineering subjects at SPM or its equivalent at SPM or its equivalent.
UEC – Minimum 5Bs (including English and Mathematics).
GCE A-LEVEL – Minimum 2Es with 5 credits in GCE O Level / SPM (including English and Mathematics).
FOUNDATION/MATRICULATION – Pass with minimum CGPA 2.0 with credit in Additional Mathematics in SPM or its equivalent.
DIPLOMA – Pass minimum CGPA 2.5 with a credit in Additional Mathematics in SPM or its equivalent.
OTHER QUALIFICATIONS – Equivalent qualifications which are recognized by the Malaysian Qualifications Agency.
Career Prospects
Artificial Intelligence Design
IoT Integration Systems
Business Decision Systems
Mobile Application Development
Information Analysis
Natural Language Programming Development
Back-end Game Development
Intelligent Cloud Systems
Study Abroad Pathway
Entry into our full-time/part-time Master of Software Engineering or Master of Business Administration (MBA) programme with special Alumni tuition fees.
All fees are in RM (Ringgit Malaysia) currency unless stated otherwise.
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