Asia Pacific University of Technology & Innovation

Master of Science 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 utilisation, to turn data into useful information via various processes.

Tuition Fee USD 10,420 total – Duration 1+ year

Degree awarded by Asia Pacific University of Technology and Innovation (APU) which is  a top-ranked Malaysian university with a stunning campus in Kuala Lumpur. It is the ONLY Malaysian University to achieve the double distinction of achieving the QS “5 Stars Plus” Rating as well as being ranked in the Top 2.1% universities worldwide in the QS World University Ranking 2025.

Course Overview

Pre-Requisite Modules (for non-computing students) Duration: 1 month (Full-time) / 4 months (Part-time)
  • Programming in Python
  • Database Fundamentals
  • Statistics

 

This programme comprises 11 coursework modules and a Capstone Project (2 parts). There are 8 compulsory Core Modules (including Research Methodology module) and you will have to choose 1 pathway (3 specialisation modules).
  • Big Data Analytics & Technologies
  • Data Management
  • Business Intelligence Systems
  • Research Methodology for Capstone Project
  • Applied Machine Learning
  • Data Analytical Programming
  • Multivariate Methods for Data Analysis
  • Advanced Business Analytics and Visualisation
  • Capstone Project 1
  • Capstone Project 2

 

SPECIALISATION MODULES (CHOOSE 1 PATHWAY ONLY)
Pathway 1 (Business Intelligence): Pathway 2 (Data Engineering):
  • Behavioural Science, Social Media and Marketing Analytics
  • Time Series Analysis and Forecasting
  • Strategies in Emerging Markets OR Multilevel Data Analysis OR Operational Research and Optimization
  • Cloud Infrastructure and Services
  • Deep Learning
  • Natural Language Processing OR Building IoT Applications OR Data
  • Protection and Management

* Specialisation modules may be pre-selected for students at the beginning of the semester. If students wish to change these pre-selected elective modules, they can choose from the available modules offered in the semester OR among the intensive delivery modules – however such changes may prolong the study duration.

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