Quick Facts
Duration
1 year
Mode
Full-time, Online
Intake
Jan, May, Sep
Tuition Fees
RM22,000
Entry Requirements
- i. A Bachelor’s degree (Level 6, Malaysian Qualifications Framework (MQF)) in Computing or related fields: Minimum CGPA of 2.50, as accepted by the Higher Education Provider (HEP) Senate; OR
- ii. A Bachelor’s degree (Level 6, Malaysian Qualifications Framework (MQF)) in Computing or related fields: Minimum Cumulative Grade Point Average (CGPA) of 2.00 and not meeting a Cumulative Grade Point Average (CGPA) of 2.50 can be accepted subject to a thorough rigorous assessment as determined by the Higher Education Provider (HEP); OR
- iii. A Bachelor’s degree (Level 6, Malaysian Qualifications Framework (MQF)) in Non-Computing field: Minimum Cumulative Grade Point Average (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
- iv. A Bachelor’s degree (Level 6, Malaysian Qualifications Framework (MQF)) in a non-computing field: Minimum Cumulative Grade Point Average (CGPA) of 2.00 can be accepted, subject to the completion of appropriate prerequisite courses: Fundamentals of Programming and Database Fundamentals; OR
- v.Other qualifications equivalent to a Bachelor’s degree (Level 6, Malaysian Qualifications Framework (MQF)) in Computing or related fields recognised by the Government of Malaysia must fulfil the requirement on item i or ii OR
APEL Entry:
- Through APEL (A) where the candidate needs to be a Malaysian citizen, should be at least 30 years of age in the year of application and possess relevant work experience. The candidate must have at least an STPM or diploma qualification and pass the APEL evaluation assessment
- The candidate should be:
- The applicant shall be 30 years of age in the year of application with at least STPM/Diploma/equivalent qualifications and must possess relevant work experience
- Pass the APEL.A assessment for Master’s Degree level
Course Structure
Core Courses
- Research Methodology for Data Science
- Data Science Techniques and Concepts
- Programming for Data Science
- Data Wrangling and Preprocessing
- Applied Statistics in Data Science
- Machine Learning for Data Science
- Intelligent Data Visualization
Master Report Project
- Data Science Capstone Project 1
- Data Science Capstone Project 2
Note:
- Students must complete passed minimum 3 core courses before enrolling in DDS508/05
( Choose Three Courses )
- T1: Digital Business Analytics
- Predictive Analytics and Forecasting in Data Science
- Deep Learning and Neural Networks
- Consumer Behavioural and Social Media Analytics
- T2: Smart Manufacturing Analytics
- Internet of Things
- Manufacturing Data Analytics
- Advanced Manufacturing & Technology
Estimated Fees
Application fees (non-refundable)
RM1,000
Tuition fees
RM22,000
Other miscellaneous fees
RM500
Total payable amount
RM23,500