M.Sc in Data Science and Business Analytics | Asia Pacific University (APU)

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M.Sc in Data Science and Business Analytics


Full time (12 months)
Part time (2.5 - 3 years)

Degree Award:

APU, Malaysia


Full-time: 05 August 2019 / 25 November 2019

Part-time: 06 Sep 2019 / 01 Nov 2019

Embracing the Wave of Industry Revolution 4.0

This programme is designed to provide students with knowledge and applied skills in data science, big data analytics and business intelligence. It aims to develop analytical and investigative knowledge and skills using data science tools and techniques, and to enhance data science knowledge and critical interpretation skills. Students will understand the impact of data science upon modern processes and businesses, be able to identify, and implement specific tools, practices, features and techniques to enhance the analysis of data.

Click here to download the Programme Brochure.

Admission Requirements

  • Bachelor’s degree with minimum CGPA of 2.75 or equivalent as acceptable by the Senate.
  • Bachelor’s degree with CGPA 2.50 but below CGPA 2.75; can be accepted with rigorous assessment (include test, interview or portfolio).
  • Bachelor’s degree with CGPA below 2.50 or qualification which is equivalent can be accepted with minimum 5 years relevant working experience in related field.

* For applicants who do not have a Computing - related degree, pre-requisite modules must be taken to prepare for the masters degree.
* Fundamental skills in programming, database, mathematics and statistics would be an added advantage.

Graduates will be equipped with knowledge, skills and experience in three major dimensions: Strategic and Commercial application, "hands-on" ICT skills and Statistics & Analytics. The programme is not merely analytics-oriented, but develops the ability to use analytics to drive key success metrics related to yield management and revenue generation in practically any business domain. There is a tremendous requirement for Data Scientists and Big Data Specialists worldwide now and in the future, with hundreds of thousands of new job opportunities emerging globally. In Malaysia alone, by the year 2020 this need is expected to reach atleast 15,000 professionals.

The Benefits of This Programme

On successful completion of this programme, you will be able to :

  • 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 industrial 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 Visualization, Customer/User Behavioural Studies, Forecasting Methods and to Presenting the Business Intelligence reports. 
  • External Programme Annual Reviews by experts from University of South Australia (UniSA).
  • Programme Support by an Industry Advisory Panel involving data analytical experts from Petronas ICT, RedTone, SharePoint, CyberSecurity Malaysia, Maxis, IBM, Microsoft and Xtrategize.
  • Research opportunities via APU’s Centre of Analytics – APCA.

The programme has been carefully designed by APU with inputs and contents from our partners, comprising major technology and software solutions providers, university partners as well as industry organisations who use analytics for strategic and competitive advantage.

The strength of these partnerships endures that the programme comprehensively addresses all key stakeholders - Technology providers, Employers, Government as well as Students - in its learning outcomes, curriculum content, delivery and assessment. Students also obtain certification jointly issued with industry partners, which would certainly give them a head start in the exciting world of Big Data.

Furthermore, APU is also poised to become a frontrunner in analytics research through the establishment of the Asia Pacific Centre of Analytics (APCA), through which research activities will be undertaken to challenge boundaries in the application of analytics.

Modules & Project / Dissertation

 Core Modules Elective Modules (Choose 2 only)
  • Big Data Analytics & Technologies
  • Behavioural Science, Social Media and Marketing Analysis
  • Data Management
  • Business Intelligence Systems
  • Research Methodology
  • Applied Machine Learning
  • Data Analytical Programming
  • Multivariate Methods for Data Analysis
  • Capstone Project 1
  • Advanced Business Analytics and Visualisation
  • Capstone Project 2
  • Time Series Analysis and Forecasting
  • Natural Language Processing
  • Operational Research and Optimization
  • Multilevel Data Analysis
  • Strategies in Emerging Markets

Course Fees:

Malaysian StudentsInternational Students

RM 36,800

RM 42,400 (USD 10,600)

* Fees stated above do not include Enrolment/Application Fees, Deposits and other Miscellaneous Fees. Please refer to Fee Guide for details.