The MSc in Data Science and Business Analytics is designed to prepare graduates with advanced knowledge in data science, big data analytics, business intelligence, artificial intelligence, and data-driven decision-making. The programme combines technical expertise with business applications, enabling students to transform data into valuable business insights.

Key Reasons to Choose This Programme

• Industry-focused curriculum aligned with Industry 4.0 and digital transformation.
• Learn advanced data science, machine learning, and business analytics techniques.
• Gain practical experience using industry-standard tools for data analytics and visualisation.
• Opportunity to earn SAS certifications in selected modules.
• Access to APU's AI Supercomputing Lab, powered by NVIDIA DGX Spark systems.
• Suitable for both computing graduates and professionals seeking to specialise in data science and analytics.
• Strong emphasis on real-world projects, research, and business problem-solving.

Programme Structure / Subjects

The programme combines coursework with an applied research project.

Core Modules

Typical study areas include:

• Data Management
• Data Analytical Programming
• Advanced Business Analytics & Visualisation
• Machine Learning
• Data Mining
• Big Data Analytics
• Business Intelligence
• Predictive Analytics
• Artificial Intelligence Applications
• Research Methodology
• Project Paper / Capstone Project

Disciplines / Specialisations Covered

Students develop expertise in:

• Data Science
• Business Analytics
• Big Data Analytics
• Business Intelligence
• Machine Learning
• Predictive Analytics
• Data Visualisation
• Data Management
• Statistical Analysis
• Artificial Intelligence
• Research Methodology
• Digital Transformation

Programme Highlights

• Ranked among the Top 2% of Universities Worldwide.
• Industry-focused curriculum aligned with Industry 4.0.
• Access to APU's AI Supercomputing Lab powered by NVIDIA DGX Spark.
• Opportunity to obtain SAS professional certifications.
• Flexible full-time and part-time study modes.
• Practical projects using real-world business datasets.
• Strong emphasis on AI, big data, predictive analytics, and business intelligence.
• International campus with students from over 130 countries. 

Career Outcomes

Graduates are prepared for advanced roles such as:

• Data Scientist
• Business Intelligence Analyst
• Business Analytics Consultant
• Data Analyst
• Big Data Engineer
• Machine Learning Engineer
• Data Engineer
• Artificial Intelligence Specialist
• Analytics Consultant
• Quantitative Analyst
• Data Architect
• Research Scientist
• Digital Transformation Consultant
• Decision Support Analyst

Visa Requirements (International Students)

International students must obtain a Malaysian Student Pass (Student Visa) before commencing their studies.

Typical requirements include:

• Valid passport
• Official APU Offer Letter
• Acceptance of admission
• Academic transcripts and certificates
• English language proficiency documents
• Passport-sized photographs
• Medical examination and Education Malaysia Global Services (EMGS) health screening
• Proof of sufficient financial resources
• Student Pass application processed through APU's International Student Office

Latest Updates (2026)

• The MSc in Data Science and Business Analytics is offered in full-time (1 year) and part-time (2 years 6 months) study modes.
• The latest published intakes are 3 August 2026 and 30 November 2026 for full-time students, and 21 August 2026 and 30 October 2026 for part-time students.
• APU has introduced an AI Supercomputing Lab powered by NVIDIA DGX Spark, providing students with access to advanced AI and high-performance computing infrastructure for research and analytics.
• Students completing designated modules can earn SAS professional certifications in Data Management, Data Analytical Programming, and Advanced Business Analytics & Visualisation.