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Master of Data Science

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Sunway University

Master of Data Science

university icon
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
Yearly Tuition fees
Year Fee
1st YearMYR 20,000
2nd YearMYR 20,000
Other Fees
Description Fee
APEL.A T-7 fee (if applicable)MYR 580
Enrolment feeMYR 700
Prerequisite subject fee (if applicable)MYR 1,500

Would you like to apply to
Sunway University ?

The Online Master of Data Science at Sunway University is led by a dedicated team of academics and industry experts with extensive experience in practical data science applications. This program will provide you with a thorough understanding of the concepts, theories, and tools of data science, equipping you with the knowledge necessary to advance your career and enhance your business potential.

Designed to foster core competencies and critical analysis skills, the Sunway Online Master of Data Science prepares you to excel in a data-driven world. You will learn essential tools and techniques to harness the power of data, along with both technical and managerial insights, enabling you to create value across various industries. This program emphasizes not just technical proficiency but also the skills required to thrive and adapt in today’s business environment. You will be mentored by leading academics with extensive practical experience, empowering you to unlock new career and business opportunities.

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 Academic 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.

Future Careers

  • Data architect or engineer.
  • Data mining analyst.
  • Data modeler or visualization designer.
  • Data scientist.
  • Artificial intelligence engineer
  • Data analyst.

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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