
3 years
July, September.
Bachelor
Malaysia's Artificial Intelligence (AI) Pathway Program is rapidly gaining prominence, reflecting the nation's commitment to becoming a leader in the digital economy. These programs, offered at both undergraduate and postgraduate levels by many Malaysian universities, such as APU, Monash University Malaysia, and Universiti Malaya, are designed to cultivate a new generation of AI specialists.
The curriculum typically covers fundamental AI concepts, including machine learning, deep learning, natural language processing (NLP), computer vision, and robotics. Students gain proficiency in programming languages like Python and delve into advanced topics such as neural networks, data analytics, and ethical AI. A strong emphasis is placed on practical application through hands-on projects, industry collaborations, and sometimes even research opportunities, ensuring graduates are equipped with relevant, in-demand skills.
Graduates of AI pathway programs in Malaysia are highly sought after for roles such as AI engineers, machine learning engineers, data scientists, AI specialists, and research scientists across various sectors, including healthcare, finance, manufacturing, and smart cities. The programs aim to bridge the skills gap in the burgeoning AI landscape, empowering students to contribute to Malaysia's digital transformation and innovation initiatives.
University
Asia Pacific University of Technology & Innovation (APU)
Campus
Kuala Lumpur
Total Credits
Study Mode
Full-time
Loan Availability
No
Full tuition fee: (USD24,330) Total for International
Common Core
Degree Level 1
Common Modules
Introduction to Networking
Systems Software and Computing Concepts
Introduction to Databases
Python Programming
Systems Analysis and Design
Integrated Computer Systems
Fundamentals of Entrepreneurship
Specialised Modules
Digital Thinking and Innovation
Mathematical Concepts for Computing
Introduction to Artificial Intelligence
Introduction to Object-Oriented Programming
Degree Level 2
Common Modules
Innovation Process
Research Methods for Computing and Technology
Specialised Modules
Systems and Network Administration
System Development Methods
Object-Oriented Development with Java
Web Applications
Concurrent Programming
Computer Systems Low-Level Technique
Data Structures
Programming for Data Analysis
AI Methods
Imaging and Special Effects
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
Common Modules
Common Modules
Venture Building
Project Management
Specialised Modules
Investigations in Artificial Intelligence
Algorithmics
User Experience
Advanced Database Systems
Text Analytics and Sentiment Analysis
Image Processing, Computer Vision, and Pattern Recognition
Further Artificial Intelligence
Optimization and Deep Learning
Project in Artificial Intelligence
IELTS - 5.0
TOEFL - 40 (iBT)
PTE - 47
Others - MUET: Band 3.5
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Shakil Education Group
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