MSc in Data Science and Business Analytics

This programme is specifically designed to provide:

  • Knowledge and applied skills in data science, big data analytics and business intelligence.
  • Overall understanding of the impact of data science upon modern processes and business.
  • Exposure towards data science tools and techniques, as well as methods of data collection and utilization, to turn data into useful information via various processes.

Subjects:

  • Pre-Requisite Modules for non-Computing students:
  • R-programming
  • Statistics
  • Database for Data Science
  • Programming in Python
  • Big Data Analytics & Technologies
  • Behavioural Science, Social Media and Marketing Analysis
  • Data Management
  • Business Intelligence Systems
  • Research Methodology
  • Applied Machine Learning
  • Data Analytical Programming
  • Multivariate Methods for Data Analysis
  • Capstone Project 1
  • Advanced Business Analytics and Visualisation
  • Capstone Project 2
  • Elective Modules (Choose 2):
  • Time Series Analysis and Forecasting
  • Natural Language Processing
  • Operational Research and Optimization
  • Multilevel Data Analysis
  • Strategies in Emerging Markets
Overview
MODE OF STUDY
Full-time
EDUCATION LEVEL
Postgraduate
CATEGORY
Other Postgraduate Programmes
Intakes and Duration
April
Full time - 1+ years
August
Full time - 1+ years
November
Full time - 1+ years
January
Part time - 2 to 3 years
March
Part time - 2 to 3 years
Fees
Full time/Part time Course Fee
RM29,500
Entry Requirements
Undergraduate/English qualifications
Bachelor’s degree with minimum CGPA of 2.75 out of 4.00, or its equivalent qualification as acceptable by the Senate. Bachelor’s degree with CGPA 2.50 out of 4.00, but below CGPA 2.75; can be accepted with rigorous assessment (include test, interview or portfolio). Bachelor’s degree with CGPA below 2.50 out of 4.00, or qualification which is equivalent can be accepted with minimum 5 years relevant working experience in related field. English Requirements: IELTS 5.
Subjects
Computer Science & IT

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