Quick Facts
Duration
2 years
Mode
Full-time, Online
Intake
Feb, Apr, Jun, Sep, Nov
Tuition Fees
RM28,208
Course Structure
Core Modules
- Programming Principles Using Python
- Big Data Management
- Principles of Artificial Intelligence
- Principles of Data Science
- Research Methodology
- Capstone Project I
- Capstone Project II
- Specialisation 1
- Specialisation 2
- Specialisation 3
Specialisations
- Data Science
- Data Engineering
- Data Analytics and Machine Learning
- Data Visualisation
- Artificial Intelligence
- Image and Text Processing
- Robotic Automation Using AI Techniques
- Data Analytics and Machine Learning
Entry Requirements
Fulfilling one of the requirements listed below:
- A Bachelor’s degree (Level 6, MQF) in Computing or related fields with a minimum CGPA of 2.50, as accepted by the HEP Senate; OR
- A Bachelor’s degree (Level 6, MQF) in Computing or related fields with a minimum CGPA of 2.00 and not meeting a CGPA of 2.50 can be accepted subject to a thorough rigorous assessment as determined by the HEP; OR
- Other qualifications equivalent to a Bachelor’s degree (Level 6, MQF) in Computing or related fields recognisedby the Government of Malaysia must fulfil the requirement on item 1 or 2.
- Application via APEL A is allowed.
- A Bachelor’s degree (Level 6, MQF) in Non-Computing field with a minimum CGPA of 2.00 can be accepted subject to a thorough rigorous assessment as determined by the HEP to identify the appropriate prerequisite courses that equivalent to their working experience in Computing or related fields; OR
- A Bachelor’s degree (Level 6, MQF) in Non-Computing field with a minimum CGPA of 2.00 can be accepted subject to appropriate prerequisite courses.
If Your Bachelor's Degree is from a Different Field
- Students without a qualification in the related fields or relevant working experience are required to undergo and pass a bridging module.
Estimated Fees
Application fees (non-refundable)
RM800
Tuition fees
RM28,208
Total payable amount
RM29,008