Master of Science in Data Science and Business Analytics (ODL)

This programme is designed to provide you with applied skills in data science and business analytics, covering a wide range of topics such as machine learning, data visualization, big data analytics, and business intelligence. The programme also includes joint professional certifications with SAS and TIBCO Software Inc., ensuring that you are industry-ready for a successful career in data science and business analytics.

• Bachelor’s degree in Computing or related fields with a minimum CGPA of 2.50, or its equivalent qualification as accepted by the Senate.
• Bachelor’s degree in Computing or related fields with a minimum CGPA of 2.00 and not meeting a CGPA of 2.50 can be accepted, subject to a rigorous internal assessment.
• Bachelor’s degree in non-related fields with a minimum CGPA of 2.00 as accepted by the Senate and with relevant working experience, subject to a rigorous internal assessment.
• Bachelor’s degree in non-related fields with a minimum CGPA of 2.00 as accepted by the Senate and without relevant working experience, subject to passing pre-requisite courses.

English Requirements

• Malaysian Students = BAND 4 MUET
• International Students = Band 5.5 in IELTS or TOEFL score 550

• Year 1, Semester 1 (YR1 SEM1):
  • Introduction to Data Science
  • Statistical Analysis for Data Science
  • Business Intelligence
  • R Programming for Data Analytics
  • Data Visualization Techniques
• Year 1, Semester 2 (YR1 SEM2):
  • Machine Learning Techniques
  • Predictive Analytics
  • Big Data Analytics
  • Data Mining and Knowledge Discovery
• Year 2, Semester 1 (YR2 SEM1):
  • Advanced Analytics
  • Research Project
  • Dissertation & Viva

Graduates can pursue various career paths, including:

• Data Scientist
• Data Engineer
• Business Intelligence Analyst
• Machine Learning Engineer
• Data Analytics Manager
• Data Architect
• Business Analyst
• Big Data Engineer
• Analytics & Reporting Manager
• Decision Analytics Manager