The Master of Data Science is a three-semester program giving in-depth knowledge of data-driven science which is an interdisciplinary field about scientific methods, processes, and systems to extract knowledge or insights from data in various forms, either structured or unstructured. The program aims to produce data professionals who are passionate about drawing meaningful insights from data using data science approach. The program is designed to provide you good analytical and programming skills to use data science from data storage, data analytics to practical applications with the aim of improving business or organization performance.   

Entry Requirements

    • A Bachelor's Degree with a minimum of CGPA 2.75 or its equivalent; OR
    • Bachelor’s Degree qualification or equivalent with a minimum CGPA of 2.50 and does not meet CGPA 2.75 acceptable subject to stringent internal appraisal process; OR
    • Bachelor’s Degree qualification with CGPA less than 2.50 or its equivalent, can be accepted, with a minimum of five (5) years working experience in the relevant field; OR
    • Has certificate of Accreditation of Prior Experiential Learning (APEL) for entry into graduate program.


  • For international students, a TOEFL score of 550 or an IELTS score of at least Band 6


Note: Candidate with qualification other than Computing field can be accepted with the condition of taking prerequisite module as an early preparation for their graduate studies.



Semester 1

Enterprise Data Analytics

Advanced Data Organization

Research Methodology

Statistical Computing


Semester 2

Statistical Data Mining

Advanced Data Science Technology

Seminar and Industry Engagement

Elective 1*

Semester 3
Data Science Project

Elective 2*

Elective 3*


*Students will be allocated to ONE of the four tracks and select elective courses from the given tracks.


Track 1: Computing

Optimization with Natured Inspired Computing

Data Visualization

Text Analytics


Track 2: Statistics

Time-series modelling and Forecasting

Applied Statistical Modelling

Applied Multivariate Analysis


Track 3: Business

Customer Analytics

People Analytics

Operations Analytics


Track 4: Geo-Spatial

Advanced GIS,

Geo-spatial Analysis and Modelling,


Professional Recognition (if any)



Other Recognition (if any)



Mode, Duration and Fees

Mode of Study

Duration of Study

(Full Time)

Duration of Study

(Part Time)

Total Tuition Fee (Local) RM


Tuition Fee (International)



3-4 semesters

4-8 semesters






  1. For admission procedure , please refer to


  1. For English proficiency (applicable to international applicants) please refer to


  1. All fees, charges and accounts will be payable in advance as determined by UiTM from time to time. Students will not be permitted to commence or continue their studies at the beginning of any semester until all outstanding fees, charges or accounts are paid.


  1. Fees are correct as at the time of printing. UiTM reserves the right to vary its fees at any time.