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Master in Data Management and Analytics
About
This programme equips students with specialised knowledge to develop effective solutions for complex data challenges across various domains. It focuses on transforming raw data into meaningful insights, enabling informed decision-making. Through advanced data management and analytics, organisations can leverage their data to uncover new opportunities, enhance revenue generation, improve operational efficiency, and optimise marketing strategies and customer service. Additionally, it enables organisations to respond swiftly to emerging market trends and maintain a competitive advantage. Ultimately, the programme prepares students to contribute to the overall growth and success of businesses by harnessing the power of data-driven strategies.
Key facts
| Qualification | Master's Degree |
| Study mode | Full-time, Part-time |
| Duration | 18 months |
| Intakes | January, May, September |
| Tuition (Local students) | $ 0 |
| Tuition (Foreign students) | $ 5,413 |
Subjects
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Computer Science, IT
Duration
18 months
Tuition fees
| Description | Local students | Foreign students |
|---|---|---|
| Tuition fee | $ 0 | $ 5,413 |
| Miscellaneous fees | Data not available | $ 2,909 |
| Total estimated cost of attendance | $ 0 | $ 8,322 |
| Estimated cost per year | $ 0 | $ 5,548 |
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
Any of these:
-
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.
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A Bachelor’s Degree (Level 6, MQF) in Computing or related fields with a minimum CGPA of 2.00, subject to a thorough internal assessment.
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A Bachelor’s Degree (Level 6, MQF) in a non-Computing field with a minimum CGPA of 2.00, subject to a rigorous assessment to determine prerequisite courses equivalent to relevant work experience in Computing or related fields.
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A Bachelor’s Degree (Level 6, MQF) in a non-Computing field with a minimum CGPA of 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, must fulfill the requirements stated in (1) or (2).
English 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
Curriculum
Core Courses
- Data Management for Data Analytics
- Predictive Modeling
- Data Visualization Techniques
- Business Intelligence Information Systems
- Programming for Data Analytics
- Big Data Technology
- Research Methods
- Electives*
- Project 1
- Project 2
*Electives (Choose 3)
- 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