MSc in Data Science and Business Analytics

Integrated Masters with deeper specialization and research focus
Taught in English
Duration 1 Years
Mode On Campus
Level Postgraduate
Degree Masters Degree
Closing soon April 2027

Course Overview

The MSc in Data Science and Business Analytics at the Asia Pacific University of Technology and Innovation is designed for ambitious professionals seeking to master the intersection of data, technology, and strategic decision-making. You will explore how to harness the power of big data analytics, business intelligence systems, and applied machine learning to drive innovation and solve complex business challenges. This postgraduate programme equips you with the essential knowledge and practical skills to transform raw data into actionable insights, making you an invaluable asset in today's data-driven economy.

This full-time, on-campus Masters degree is studied over one year, comprising 11 coursework modules and a substantial Capstone Project. You will delve into core areas such as Data Management, Multivariate Methods, and Data Analytical Programming, with opportunities to specialise in Business Intelligence or Data Engineering pathways. Through hands-on projects and advanced analytical techniques, you will develop your ability to manage, analyse, and interpret large datasets. Graduates will be prepared for dynamic roles in data science, business analytics, and data engineering across various industries.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

This MSc program equips students with advanced skills in data science and business analytics. Core modules cover big data technologies, data management, business intelligence, research methodology, applied machine learning, and programming for data analysis. Students will also engage in a two-part capstone project to apply their learning. Specialization pathways allow for in-depth study in areas such as marketing analytics, time series forecasting, operational research, cloud services, deep learning, natural language processing, or IoT applications.

1 CORE 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
Advanced Business Analytics and Visualisation
Capstone Project 2

2 SPECIALIZATION MODULES (CHOOSE 1 PATHWAY ONLY)

Behavioural Science, Social Media and Marketing Analytics
Time Series Analysis and Forecasting
Strategies in Emerging Markets
Multilevel Data Analysis
Operational Research and Optimization
Cloud Infrastructure and Services
Deep Learning
Natural Language Processing
Building IoT Applications
Data Protection and Management

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

First Year Fee Tuition fee
USD 10,420.00
Total Program Cost Estimated total tuition
USD 10,420.00

Currency note: Program costs shown in USD based on the available tuition breakdown.

Living Costs

Accommodation
USD 167.00 - USD 639.00
Food & Groceries USD 906.00 - USD 2,114.00
Transport USD 151.00 - USD 453.00
Utilities & Bills USD 242.00 - USD 604.00
Estimated Total USD 1,299.00 - USD 3,171.00

Living cost estimates are based on Kuala Lumpur Campus.

Outcomes & Employability

What happens after you graduate

100%
Graduate Employment Rate Within 6 to 12 months of graduation

Common Graduate Roles

Advertising Finance & OperationsAviation Maintenance & RepairAviation Safety & RegulationCustomer Experience & SupportEdTech & E-LearningEnvironmental & Sustainability ServicesFintech & Mobile MoneyRenewable Energy (Solar & Wind)Social Media & Community ManagementUnmanned Aerial Vehicles (Drones)

Top Employers Hiring for this course

AIA Commercial Brokers

Accenture

Asia Pacific University of Technology & Innovation (APU)

BASF

Concentrix

Deloitte

Double Eleven

EY

Why Study MSc in Data Science and Business Analytics at Asia Pacific University of Technology and Innovation

What makes this program stand out

April 2027 Closing soon

Next intake is in April 2027

Very Fast Application response time

Asia Pacific University of Technology and Innovation typically responds to applications within 1 - 2 days, giving you clarity on your options quickly.

Life at Asia Pacific University of Technology and Innovation in Malaysia

What daily life looks like for international students

Language

English

Primary language everywhere

Climate

Mild & Rainy

10-20°C average, pack layers

Safety (Numbeo Safety Index)

Very Safe

Exeter is one of UK's safest cities

Frequently Asked Questions

Common questions about MSc in Data Science and Business Analytics at Asia Pacific University of Technology and Innovation

Can I work while studying?

International students cannot work during term time but may work up to 20 hours per week during breaks. A work permit is needed for specific sectors, including restaurants and hotels.

Is this qualification recognised internationally?

Yes. This course is accredited by Malaysian Qualification Agency.

What English language score do I need for this course?

You need to meet specific English language requirements: TOEFL scores of 11.5 in listening and 46 overall, IELTS scores of 5 in all components, or PTE scores of 51 across all areas.

What jobs can I get after studying this course?

Graduates can pursue roles such as Data Analyst, Business Analyst, Data Scientist, Business Intelligence Consultant, and Data Engineer.

What will I actually study in this course?

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.

When can I start — what are the intake months?

This program offers intakes in April and August. Make sure to apply before the deadline for your preferred month.
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