(N/0611/4/0153)(04/31)(MQA/PA 18888)
1. Programme Overview
The Diploma in Applied Artificial Intelligence prepares students for one of the fastest-growing and most exciting fields in the digital economy. As Artificial Intelligence continues to transform industries worldwide, organisations are increasingly seeking professionals who can develop intelligent solutions, automate processes, analyse data, and drive innovation.
This programme provides students with a strong foundation in:
Through hands-on projects and practical learning experiences, students will develop the skills to design, build, deploy, and manage AI-powered applications that address real-world challenges.
Students will learn industry-relevant tools and technologies while developing critical thinking, problem-solving, and innovation skills that are highly valued by employers. Upon graduation, students will be ready to pursue careers in AI, data analytics, automation, digital transformation, and intelligent systems development, or continue their studies at a higher level.
2. Programme Highlights
-
Learn Machine Learning and Deep Learning to design and develop intelligent AI-powered systems.
-
Explore Generative AI technologies to drive innovation, automation, creativity, and digital transformation.
-
Gain Data Engineering and Analytics skills to transform complex data into actionable business insights.
-
Develop Cloud and Edge AI solutions that address real-world business challenges across industries such as finance, healthcare, manufacturing, retail, logistics, hospitality, and smart cities.
-
Apply Artificial Intelligence to optimise business processes, improve decision-making, enhance customer experiences, and increase organisational efficiency.
-
Build practical AI applications through hands-on projects that prepare students for the future of work in an AI-driven economy.
3. Why Study Artificial Intelligence?
-
AI is transforming industries such as healthcare, finance, education, manufacturing, logistics, hospitality, and retail.
-
AI-related careers are among the fastest-growing professions globally.
-
Businesses increasingly rely on AI to automate processes, analyse data, and improve decision-making.
-
AI skills are highly transferable across multiple industries and career pathways.
-
Graduates can continue their studies in Artificial Intelligence, Data Science, Computer Science, or related fields.
4. Industry Relevance
Artificial Intelligence is rapidly transforming industries such as healthcare, finance, manufacturing, retail, logistics, education, and public services. This programme is developed to meet the growing demand for AI-skilled professionals capable of supporting digital transformation initiatives and intelligent business operations.
The programme incorporates current industry trends including:
Industry engagement through internships, industrial projects, guest lectures, and professional certifications further enhances graduate employability.
5. Career Opportunities
Graduates may pursue careers as:
-
Junior AI Application Developer
-
AI & Automation Executive
-
Junior Data Analyst
-
Business Intelligence Assistant
-
AI Solutions Support Executive
-
Intelligent Systems Support Executive
-
Digital Transformation Executive
-
AI-based Software Developer
-
Data Engineering Assistant
-
AI Operations Executive
Intake
- January, April & August 2026
Duration
Assessments
- Continuous assessment & final examination
|
Entry Requirements
- SPM / O Level: Pass with a minimum of 3 credits (including Mathematics)
- UEC: Pass with a minimum of 3 Grade Bs (including Mathematics)
- Certificate: (Level 3 Malaysian Qualifications Framework, MQF) in Computing / Science, Technology and Engineering / sub-fields of the computing field with at least CGPA of 2.00
- Other relevant and equivalent qualifications recognised by the Malaysian government
Note: Those who Pass in Mathematics at SPM level or equivalent will be required to take and pass a Reinforcement Mathematics subject
|
Foundational Mathematics for AI
Fundamental of Programming
Artificial Intelligence and Ethics
Introduction to Artificial Intelligence
Operating Systems and System Management
Fundamental of Networking and Communications Systems
Statistics for Data Science
Data Structure and Algorithms
Fundamental of Machine Learning and Deep Learning
Computational Intelligence and Applications
Introduction to Digital Twin for Applied AI
Data Fusion and AI Data Engineering
Generative Models in Artificial Intelligence
Natural Language Processing
Software Architecture and Design Patterns
Artificial Intelligence for Business Process Optimisation
Cloud and Edge Intelligence
Fundamental of Data Mining and Knowledge Discovery
Additional MOHE Compulsory General Studies Subjects
Local Student:
- Philosophy and Current Issues
- Bahasa Kebangsaan A (applicable to student who did not sit for SPM or did not obtain a Credit in SPM Bahasa Melayu) OR Study Skills (for students who have a Credit in SPM Bahasa Melayu)
- Integrity and Anti-Corruption
- Community Service Learning
International Student:
- Bahasa Melayu Komunikasi 1
- Study Skills
- Integrity and Anti-Corruption
- Community Service Learning
