Institute of Postgraduate Studies & Research
Postgraduate Diploma in Data Management and Analytics
(N/481/7/0828)09/26 (MQA/PSA 14799)
Offer by Lee Kong Chian Faculty of Engineering and Science , Sungai Long Campus
This programme provides students with the specialised knowledge required to formulate solutions to complex data problems across a range of domain settings – turning raw data sets into meaningful information to better guide decision making. Data management and analytics helps organisations harness their data and use it to identify new opportunities. In turn, that increases revenues, improves operational efficiency, optimises marketing campaigns and customer service efforts, responds more quickly to emerging market trends and gains a competitive edge over rivals -- all with the ultimate goal of boosting organisation performance. This programme is tailored for students who wish to gain practical and research skills within a shorter time frame.
Intake: January, May & September
Duration: Full Time : Min 1 years - Max 4 years,
Part Time : Min 1.5 years - Max 6 years
Indicative Fees: Local: RM15,400.00 ~ RM16,300.00
International : RM26,400.00
Entry Requirements
Academic Requirement
(1) A Bachelor’s Degree in the field or related fields with CGPA of 2.75 and above or equivalent as approved by the Senate; or
(2) A Bachelor’s Degree in the field or related fields with CGPA of 2.50 and above but less than CGPA of 2.75, or equivalent as approved by the Senate subject to rigorous internal assessment.
(2) A Bachelor’s Degree in the field or related fields with CGPA of 2.00 and above but less than CGPA of 2.50, and show evidence of at least five (5) years of relevant working experience can be accepted subject to rigorous internal assessment; or
(4) Candidates without a Bachelor’s degree
Language Requirement
- IELTS Academic : 6.0
- TOEFL iBT Score : 60 -78
- Cambridge English Qualification and Tests : 169 - 175
- Pearson Test of English (PTE) : 59 - 62
- MUET Band 4
Programme Structure
Total Credit :31
- Data Management for Data Analytics
- Predictive Modeling
- Data Visualization Techniques
- Business Intelligence Information Systems
- Programming for Data Analytics
- Big Data Technology
- Research Methods
- Electives
- Mini Project
Electives* (Choose 2)
- Internet of Things
- Advanced Cloud Computing
- Text Mining and Social Media Analytics
- Practical Deep Learning
- Time Series and Decision Analysis
- Industry Case Study for Big Data
- Statistics for Decision Making
- E-Commerce
- Customer Relationship Management
- Web Technology for Information Systems and Analytics
