Bachelor of Science (Honours) in Artificial Intelligence

Overview

The BSc (Hons) in Artificial Intelligence at ºìÐÓÊÓÆµ University offers a distinctive learning experience driven by state-of-the-art facilities, impactful research, and a vibrant academic community. Students benefit from a dedicated AI and Machine Learning Lab equipped with high-performance GPU-powered systems, NVIDIA Jetson Nano, and IoT prototyping kits to support hands-on learning in real-world applications. Uniquely, the programme also provides access to ºìÐÓÊÓÆµâ€™s High Performance Computing (HPC) service, powered by cloud-based NVIDIA GPU-accelerated computing on AWS, giving students a competitive edge through hands-on experience with industry-relevant tools and infrastructure.

The programme is led by a team of world-class academics and researchers actively involved in funded research projects in machine learning, computer vision, natural language processing, and smart systems. Students are immersed in a dynamic ecosystem that bridges academic knowledge and industry practice through project-based learning, capstone projects, and internship placements. As part of the Faculty of Engineering and Technology, students participate in AI-focused competitions, coding hackathons, innovation challenges, and collaborative projects through ºìÐÓÊÓÆµ iLabs.

They are also supported by an active AI and Data Science student club, mentoring programmes, and leadership development opportunities. With access to a digitally connected smart campus and strong industry linkages, BSc AI students at ºìÐÓÊÓÆµ are uniquely positioned to become highly skilled, future-ready AI professionals.

Intakes
September
Duration
3 Years (full-time)
Career Prospects
  • Artificial Intelligence Engineer
  • Machine Learning Specialist
  • Data scientist
  • Computer Vision Engineer
  • Natural Language Processing Engineer
  • AI Solutions Architect
  • Robotics and Automation Engineer
  • AI Product Manager
  • Intelligent Systems Developer
  • AI Research Scientist
Estimated Annual Course Fee
  • RM37,850
    for Malaysian students
  • USD8,911
    for international students
International students must pay their fees in RM equivalent. The USD here is just an indicative/estimation and subject to the prevalent exchange rate

Programme Structure

Year 1

Computer Mathematics
Operating System Fundamentals
Programming Principles
Introduction to Artificial Intelligence
Responsible AI and Professional Ethics
Data Structure & Algorithms
Database Fundamentals
Networking Principles
Statistics for Data Analytics
Foundations of Machine Learning
Intelligent Systems and Applications

Year 2

Essentials of Employability
Software Architecture and Design Patterns
Artificial Intelligence Applications
Computer Vision
Deep Learning
Generative Models in AI
Natural Language Processing
Reinforcement Learning
Evolutionary Algorithms
Machine Learning Operations

Year 2 Electives (Choose 1)

Data Fusion
Data Mining and Knowledge Fundamentals

Year 3

Capstone Project 1
Capstone Project 2
Knowledge-Based Systems
Internship

Year 3 Electives (Choose 4)

Intelligent Digital Twin
Data-Driven IoT Intelligence
Advances in Brain Computer Interaction
Advanced Robotics Intelligence and Autonomous Systems
Advanced Natural Language Processing
Advanced Topics in Deep Learning
Algorithm for Optimization
Edge Intelligence

MOHE Compulsory General Studies Subjects

For Local Students:
  • Appreciation of Ethics & Civilisation
  • Philosophy & Current Issues
  • Entrepreneurial Mindset & Skills
  • Integrity & Anti-Corruption
  • Community Service for Planetary
    Health
For International Students:
  • Appreciation of Ethics & Civilisation
  • Malay Language for Communication 2
  • Entrepreneurial Mindset & Skills
  • Integrity & Anti-Corruption
  • Community Service for Planetary
    Health
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Student studying

Entry Requirements

STPM

Pass with a minimum Grade C in Mathematics subjects and 1 Science/ICT subject

A-Level

Minimum 12 points (Minimum Grade D in at least 2 subjects)

Australian Matriculation

ATAR 60

Canadian International Matriculation Programme

60%

MUFY

60%

ºìÐÓÊÓÆµ Foundation in Arts / Science & Technology

CGPA 2.30

UEC

Maximum 26 points from 5 subjects (all grade Bs)

IB Diploma

Completed with minimum 25 points (excluding bonus points)

ºìÐÓÊÓÆµ Diploma

CGPA 2.50 or equivalent (Students must come from a diploma in the computing field or Science & Technology)

Specific Requirements

Credit in Additional Mathematics at SPM or B in Advanced Mathematics in UEC or its equivalent.

Candidates with the following qualifications or their equivalent:

  • STPM (Arts Stream)
  • STAM
  • A-Level
  • Matriculation or Foundation
  • Diploma in Science and Technology

who do not have Additional Mathematics at SPM level or its equivalent may be admitted with a credit in Mathematics and any one of the Science, Technology, or Engineering subjects at SPM level or its equivalent.

Candidates need to enrol in and pass a Mathematics Enhancement subject at the beginning of their study.

The above requirements can be waived if the Foundation/Matriculation programmes offered a Mathematics subject and the achievements are equivalent to or higher than the requirement of a credit in Additional Mathematics at SPM level or equivalent.
 

English Language Requirements

  • IELTS or equivalent 6.0
  • MUET Band 4
  • SPM English B+
  • UEC English Credit
  • O-Level English (1119) Credit
  • ºìÐÓÊÓÆµ Intensive English Programme (IEP) Pass Level 4 with minimum 65%
  • ESL/English Satisfactory level in Pre-University programmes, where the medium of instruction is English

Scholarships and Financial Aid

For more information about the scholarships and financial aid, please visit the .

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