Master of Science in Data Science and Business Analytics (ODL) at Asia Pacific University of Technology and Innovation (APU)

Description

The Master of Science in Data Science and Business Analytics (ODL) is a postgraduate programme designed to equip professionals with advanced knowledge and practical skills in data-driven decision-making and business analytics. The programme integrates core concepts of data science with business applications, covering key areas such as data analytics, statistical modelling, machine learning, data visualisation, and business intelligence, alongside strategic management and decision-making frameworks. Delivered through Open and Distance Learning (ODL), it offers flexibility for working professionals while maintaining strong academic rigor and industry relevance. Through case studies, applied projects, and research-based learning, students develop critical thinking, analytical capabilities, and the ability to interpret complex data to support strategic business outcomes. The programme emphasises the integration of advanced analytical tools with real-world business challenges and global perspectives, ensuring graduates are well-prepared to pursue careers in data science, business analytics, and data-driven management roles or to progress into further academic studies in related fields.

Intake Month(s)

June, August

Course Structure

Pre-Requisite Modules (For Non-Computing Students)
Programming in Python
Database for Data Science
Statistics
Common 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
Capstone Project 1
Capstone Project 2
Advanced Business Analytics and Visualisation

Choose 1 Pathway Only
Pathway 1 - Business Intelligence
Behavioural Science, Social Media and Marketing Analytics
Time Series Analysis and Forecasting
Strategies in Emerging Markets OR Multilevel Data Analysis OR Operations Research and Optimization
Pathway 2 - Data Engineering
Cloud Infrastructure and Services
Deep Learning
Natural Language Processing OR Building IoT Applications OR Data Protection and Management

Entry Requirement

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.

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