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Master of Science in Data Science and Business Analytics (ODL)

Asia Pacific University of Technology & Innovation

Master Degree

Asia Pacific University of Technology & Innovation

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Duration

2.5 years

Study Format

Online

No. of Student Mentors

72

Total Tuition Fees

8,560 USD (Approx)

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ABOUT THIS PROGRAM

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.

The Benefits of the Programme

  • In addition to the degree award, a Joint Professional Certification will be offered by SAS Institute, USA.
  • 30% of the curriculum will allow for mini projects assessed as in-course work allowing for practical skills development in Data Analytics.
  • The curriculum covers a wide range of subject matter from Analytical Technologies, Exposure to tools such as R & SAS Modelers, Data Visualisation, Customer/User Behavioural Studies, Forecasting Methods and to Presenting the Business Intelligence reports.
  • External Programme Annual Reviews by International University Partners.
  • Programme Support by an Industry Advisory Panel involving data analytical experts from Petronas ICT, RedTone, SharePoint, CyberSecurity Malaysia, Maxis, IBM, Microsoft, Fusionex and Axiata.
  • Research opportunities via APU’s Centre of Analytics - APCA.


KEY INFORMATION

Degree

Master

Language

English

Location

Malaysia

Intake Start Date

Jan 2026

Study Format

Online

Duration

2.5 years

Program Highlight

Standard Program

Total Semester

5

Total Tuition Fees

8,560 USD (Approx) / in total

Application deadline

Feb 2026

ABOUT UNIVERSITY

Asia Ranking 2026

EduRank Ranking 597

Programs

125

Students

14,000

Asia Pacific University (APU) continues to solidify its reputation for graduate employability, achieving a remarkable 100% employment rate among its graduates. In recognition of its excellence, APU was named the 2025 Employers’ Choice of University in Talentbank’s annual national survey of top employers. Furthermore, APU graduates earned a prestigious 6-Star rating in the Employers' Top Choice categories for Computing & IT, Animation, Advertising, Finance, and Marketing.


APU also maintained its leading position as the Champion in the Computing & IT category nationwide. In the previous year, 2024, APU graduates were similarly recognized as Champions in Employers’ Top Choice for Computing & IT, Game Design and Development, Animation, and Finance & Islamic Finance - a testament to APU’s sustained excellence and industry relevance across multiple disciplines


APU is honoured to receive the Future-Ready University & College award in the private universities category at the LIFE AT WORK Awards 2025, organised by Talent Corporation Malaysia (TalentCorp).


This award recognises a Higher Educational Institution that goes beyond academic excellence to actively prepare their students for the realities of a dynamic, fast-changing workforce. This institution demonstrates a strong commitment to bridging the gap between education and career readiness. 


This recognition reflects APU’s commitment to nurturing a future-ready generation through an inclusive, innovative, and supportive environment that prepares both students and staff to succeed in the evolving digital landscape.

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PROGRAM STRUCTURE

Modules & Project

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).


Pre-Requisite Modules

(For Non-Computing Students: Duration: 4 months (ODL))

 

Programming in Python

Database Fundamentals

Statistics


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


Specialisation Modules (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 OperationsResearch and Optimization


Pathway 2 (Data Engineering):


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.



TUITION FEES

Tuition fees

8,560 USD (Approx) / in total

Application fees

3,350 MYR

Application fee cannot be refunded.

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ADMISSIONS PROCESS

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Entry Requirements

General Requirements

Bachelor’s degree

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.


Δ Fundamental skills in programming, database, mathematics and statistics would be an added advantage.

* Applicants without a Computing-related Bachelor’s degree must pass the pre-requisite modules to continue with the Master’s Degree.

 

Note: 

The above entry requirements may differ for specific programmes based on the latest programme standards published by Malaysian Qualifications Agency (MQA).

 

English Requirements

International Students

IELTS : 5.5

Possible Career Pathway


  • Data Engineer
  • Data Analyst
  • Business Analyst
  • Data Scientist
  • Chief Technology Officer (CTO)
  • Data Analytics Manager
  • Business Analyst Manager
  • Data Innovation Manager
  • Machine Learning Scientist
  • Business Process Engineer
  • Data Wrangler / Munger / Miner
  • Business Intelligence Manager
  • Analytics & Reporting Manager
  • Decision Analytics Manager


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