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Master in Data Management and Analytics

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Tunku Abdul Rahman University (UTAR) (KAMPAR CAMPUS)

Master in Data Management and Analytics

university icon
Tunku Abdul Rahman University (UTAR) (KAMPAR CAMPUS)

Master in Data Management and Analytics

Qualification
Master's Degree
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 18,000 excludes 6% SST & other fees
Estimated total tuition from ~MYR 24,000 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 Master in Data Management and Analytics program at Tunku Abdul Rahman University (UTAR) is designed to equip students with specialized knowledge and skills necessary for addressing complex data challenges across various domains. This program focuses on transforming raw data sets into meaningful information to facilitate informed decision-making processes. Data management and analytics play a crucial role in helping organizations effectively utilize their data to identify new opportunities, enhance revenue generation, improve operational efficiency, optimize marketing campaigns and customer service efforts, respond promptly to emerging market trends, and gain a competitive advantage over rivals. The program aims to develop professionals who can harness the power of data to boost organizational performance. By gaining expertise in data management and analytics, graduates are prepared to drive data-driven decision-making processes, enhance business strategies, and contribute to the overall success and growth of organizations.

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 :41
  • 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
*Course offering is subject to availability
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