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Postgraduate Diploma in Data Management and Analytics

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Tunku Abdul Rahman University (UTAR) (SUNGAI LONG CAMPUS)

Postgraduate Diploma in Data Management and Analytics

university icon
Tunku Abdul Rahman University (UTAR) (SUNGAI LONG CAMPUS)

Postgraduate Diploma in Data Management and Analytics

Qualification
Diploma
Duration
1 years
Intake
SepSepJanJanMayMay
English Requirement
IELTS 6.0
Offer Letter
Free
Class Type
Physical
Course Fee for International Students
First year from MYR 18,150 excludes 6% SST & other fees
Estimated total tuition from ~MYR 18,150 1 years programme
Published fees don't include possible scholarships and YourUni discounts — most students pay less than the sticker price.

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Tunku Abdul Rahman University (UTAR) ?

The Postgraduate Diploma in Data Management and Analytics program at Tunku Abdul Rahman University (UTAR) is designed to equip students with specialized knowledge to tackle complex data challenges across various domains. This program focuses on transforming raw data sets into meaningful information, enabling informed decision-making. By studying data management and analytics, students learn how to effectively utilize data within organizations to identify new opportunities. This, in turn, leads to increased revenue, improved operational efficiency, optimized marketing campaigns, enhanced customer service efforts, quick response to emerging market trends, and a competitive advantage over competitors. The program is tailored for students who desire to acquire practical and research skills within a shorter time frame. Through this program, students gain the necessary expertise to navigate the rapidly evolving field of data management and analytics, making valuable contributions to organizational performance.

Entry Requirements

  • 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

For other qualifications and certificates (e.g., Other qualifications equivalent to a Bachelor’s degree , etc..) please contact our educational consultants or submit your application for Admission assessment.

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
*Course offering is subject to availability
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