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Master in Data Management and Analytics

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

Master in Data Management and Analytics

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

Master in Data Management and Analytics

Qualification
Master's Degree
Duration
1.5 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) offers a coursework-based approach for students pursuing a master's degree in the field of data management and analytics. This program is specifically designed to provide students with a comprehensive understanding of data management principles, advanced analytical techniques, and the practical skills required to handle and analyze large datasets. By enrolling in the Master in Data Management and Analytics program, students have the opportunity to develop their knowledge and skills in areas such as data modeling, data visualization, data mining, machine learning, and data-driven decision-making. The program combines theoretical concepts with hands-on applications, allowing students to gain practical experience in working with real-world data challenges. Through a combination of lectures, workshops, case studies, and industry projects, students acquire the necessary expertise to effectively manage and analyze data to derive valuable insights and support informed decision-making. Graduates of the Master in Data Management and Analytics program at UTAR are well-prepared for careers in data analytics, business intelligence, data consulting, and data management roles across various industries.

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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