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Master of Data Science

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Sunway University

Master of Data Science

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Sunway University

Master of Data Science

Qualification
Master's Degree
Duration
2 years
Intake
JanJanAprAprMayMayJulJulSepSep
English Requirement
IELTS 6.0
Offer Letter
Free
Class Type
Online
Course Fee for International Students
First year from MYR 20,000 excludes 6% SST & other fees
Estimated total tuition from ~MYR 40,000 2 years programme
Published fees don't include possible scholarships and YourUni discounts — most students pay less than the sticker price.

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The Sunway University Online Master of Data Science is driven by a team of passionate academics and industry experts with experience in real-world data science applications. You will gain a detailed understanding of data science's concepts, theories, and tools, providing both the knowledge and understanding of how to apply them to build your career and boost your business potential. 

The Sunway Online Master of Data Science degree is designed to build the core understanding and critical analysis skills for you to thrive in a world of data. You will learn fundamental tools and techniques to leverage the value of data, combined with technical and managerial understanding, unlocking value across industries and providing a platform of informed insight to guide decision making and identify emerging opportunities. The programme focuses on building beyond technical understanding and providing the skills you need to thrive and evolve in the modern business landscape. You will be guided by leading academics with extensive real-world experience who will empower you to unlock new opportunities for your career and your business.

Academic Requirement

A bachelor’s degree in Computing or related fields with a minimum CGPA of 2.50, as accepted by the HEP Senate.

OR

A bachelor’s degree in Computing or related fields, or equivalent, with a minimum CGPA of 2.00, subject to a minimum of 5 years’ work experience in the related fields and a rigorous internal assessment.

OR

Candidates without a bachelor’s degree in the related fields or equivalent must meet a CGPA of 2.00 with a minimum of 5 years’ work experience in the related fields and undergo a rigorous internal assessment to be eligible via the prerequisite pathway.

OR

An APEL.A Certification (T-7) (Recognition of Prior Learning).

CORE SUBJECTS
  1. Principles and Practices of Data Science (3 credits)
  2. Programming for Data Science (3 credits)
  3. Data Visualisation (3 credits)
  4. Statistical Methods for Data Science (3 credits)
  5. Data Mining (3 credits)
  6. Big Data Management (3 credits)
  7. Research Methodology (3 credits)
ELECTIVE MDS SUBJECTS
  • Elective Subjects (Select 3)
  1. Forecasting Analytics (3 credits)
  2. Deep Learning for Data Science (3 credits)
  3. Cloud Infrastructure and Services (3 credits)
  4. Social and Digital Media Analytics (3 credits)
  5. Artificial Intelligence (3 credits)
  6. Data Science Ethics (3 credits)
  • Research Project
  1. Capstone Project - Parts 1 & 2 (5 credits each)
PREREQUISITE PATHWAY
  1. Foundations of Programming
  2. Database Concepts and Principles
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