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

Asia Pacific University of Technology & Innovation (APU)

Asia Pacific University of Technology (APU) is a top private university in Malaysia that combines technology, innovation, and creativity to equip graduates with the skills to thrive in the global business and society. APU has received numerous national and international awards, building a reputation as an impressive university that produces highly employable graduates. These graduates are equipped to make immediate contributions to their respective industries.

Course Information

Academic Qualification

Master

Duration

1 years

Intake

03 August 2026

English Requirement

Class Type

Full Time

Offer Letter

Free

Yearly Tuition Fees

First Year

44,800

MYR

Total Tuition Fees 44,800 MYR

Other Fees

University International Admission fee 3,350 MYR

Refundable Deposit 1,500 MYR

University International Admission fee 6,500 MYR

Total Additional Fees 11,350 MYR

Grand Total (All Fees) 56,150 MYR

Course Overview

The Master of Science in Data Science and Business Analytics at Management and Science University (MSU) is a postgraduate programme designed to develop advanced skills in data analysis, machine learning, and business intelligence. It prepares students to transform data into strategic insights for decision-making in modern organizations.

Program Structure: Data Science and Business Analytics

This programme combines theoretical knowledge with practical applications in data science, analytics, and business decision-making.

Core Learning Components
- Statistical Methods for Data Science
- Programming for Data Analytics (Python / R)
- Machine Learning Techniques
- Data Mining and Big Data Analytics
- Business Intelligence and Analytics
- Data Visualization and Reporting
- Database Systems and Data Management
Applied Learning
- Real-world data analysis projects
- Case studies in business analytics
- Industry collaboration and internships
- Capstone project or research dissertation

Entry Requirements

Applicants must hold a Bachelor’s degree in a related field such as IT, computer science, mathematics, or business, recognised by Management and Science University (MSU). Basic knowledge of programming and statistics is recommended.

Career Opportunities

Graduates are prepared for high-demand roles in data science and analytics across various industries.

Data Scientist
Business Analyst
Data Analyst
Machine Learning Engineer
Business Intelligence Analyst
Data Consultant
Analytics Manager

Program Highlights

High Demand Field: Data science and analytics skills
Technical + Business: Combines IT with business decision-making
Hands-On Learning: Real-world data projects
Career Growth: Strong global career opportunities

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