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Postgraduate Diploma in Data Management and Analytics
About
This programme equips students with specialised knowledge and analytical skills to develop solutions for complex data challenges across various domains. By transforming raw data into meaningful insights, students learn to enhance decision-making processes and drive strategic outcomes. Effective data management and analytics enable organisations to harness information efficiently, uncover new opportunities, and enhance overall performance. These capabilities contribute to increased revenue, improved operational efficiency, optimised marketing strategies, enhanced customer service, and a quicker response to market trends—ultimately providing a competitive advantage.
Designed for students seeking both practical expertise and research proficiency within a shorter time frame, this programme offers a streamlined approach to mastering data-driven decision-making and problem-solving.
Key facts
| Qualification | Postgraduate Diploma |
| Study mode | Full-time, Part-time |
| Duration | 1 year |
| Intakes | January, May, September |
| Tuition (Local students) | $ 0 |
| Tuition (Foreign students) | $ 4,093 |
Subjects
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Computer Science, IT
Duration
1 year
Tuition fees
| Description | Local students | Foreign students |
|---|---|---|
| Tuition fee | $ 0 | $ 4,093 |
| Miscellaneous fees | Data not available | $ 2,571 |
| Total estimated cost of attendance | $ 0 | $ 6,665 |
| Estimated cost per year | $ 0 | $ 6,665 |
Estimated cost as reported by the institution. There may be additional administrative fees. Please contact for the latest information.
Every effort has been made to ensure that information contained in this website is correct. Changes to any aspects of the programmes may be made from time to time due to unforeseeable circumstances beyond our control and the Institution and EasyUni reserve the right to make amendments to any information contained in this website without prior notice. The Institution and EasyUni accept no liability for any loss or damage arising from any use or misuse of or reliance on any information contained in this website.
Admissions
Intakes
Entry Requirements
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Bachelor's degree (Level 6, MQF) in Computing or related fields: 2.50; Accepted by the HEP Senate.
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Bachelor's degree (Level 6, MQF) in Computing or related fields: 2.00; Subject to a rigorous internal assessment.
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Bachelor's degree (Level 6, MQF) in non-Computing fields: 2.00; Subject to a rigorous assessment to determine prerequisite courses based on relevant work experience in computing or related fields.
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Bachelor's degree (Level 6, MQF) in non-Computing fields: 2.00; Subject to appropriate prerequisite courses.
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Other qualifications equivalent to a Bachelor's degree (Level 6, MQF) in Computing or related fields recognized by the Government of Malaysia: 2.50 (or 2.00); Must fulfill the requirements of item (1) or (2).
English Language Requirement:
- IELTS Academic : 6.0
- TOEFL iBT Score : 60, TOEFL Essential (Online): 8.5
- Cambridge English Qualification and Tests : 169
- Pearson Test of English (PTE) : 59
- MUET Band 4
Curriculum
Core:
- 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