Master in Data Management and Analytics

(MQA/PSA 14798) / (MQA/PSA 14979) (N/481/7/0825)09/26 /(N/481/7/0826)09/26

Course Information

Mode: Blended
Duration: Full Time: Min 2 years - Max 4 years Part Time: Min 3 years - Max 6 years
Intakes:

January, May & September

Campus: Sungai Long Campus/ Kampar Campus
Type: Flexible Full-time/Part-time Mode
Conducted in Malaysia: Yes
Level of Study: Masters Degree Level
Field of Study: Computing & IT
Faculty: Faculty of Information and Communication Technology (FICT)
Awarding Country: Malaysia
Fees: RM19,650 (Full Time) RM19,650 (Part Time) / RM30,500 (international)
Format: By Research

Course Overview

This programme provides students with the specialised knowledge required to formulate solutions to complex data problems across a range of domain settings – turning raw data sets into meaningful information to better guide decision making. Data management and analytics helps organisations harness their data and use it to identify new opportunities. In turn, that increases revenues, improves operational efficiency, optimises marketing campaigns and customer service efforts, responds more quickly to emerging market trends and gains a competitive edge over rivals -- all with the ultimate goal of boosting organisation performance.

Entry Requirements

1) A Bachelor's Degree of Computing or in the area of science and technology or related to computing, with a minimum CGPA of 3.00; or 

(2) A Bachelor's Degree of Computing or in the area of science and technology or related to computing, with CGPA below 3.00 but above 2.50, can be accepted subject to rigorous internal assessment; or

(3) A Bachelor's Degree of Computing or in the area of science and technology or related to computing, with CGPA less than 2.50, with a minimum of 5 years working experience in a relevant field and subjected to rigorous assessment; or 

(4) Any other academic qualifications equivalent to (1), (2) or (3) from another recognised University as approved by the Senate  

** UTAR welcomes applicant who does not possess entry qualification as the above. Alternatively potential applicant can apply to our programme by using APEL

Career Prospects

Data Scientist, Data Engineer, Business Intelligence Analyst, Big Data Software Developer, Data Analytic Manger, Data Analytic Consultant, Operation Research Analyst , Marketing and Logistic Consultant 

  • All fees are in RM (Ringgit Malaysia) currency unless stated otherwise.

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