MSc in Data Science and Business Analytics | Asia Pacific University (APU)

You are here

MSc in Data Science and Business Analytics

Duration:

Full time (12 months)
Part time (24+ months)

Degree Award:

APU, Malaysia

Intake:

Full-time: 27 November 2017 / 09 April 2018

Part-time: 03 September 2017 / 12 January 2018

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 in a relevant field with minimum CGPA of 2.75 or equivalent as acceptable by the Senate; OR
  • Bachelor’s degree or equivalent in a relevant field but for CGPA below 2.75; can be accepted provided that the candidates must have 5 years working experience in relevant field.
  • Graduates of equivalent qualifications who have several years of relevant industry experience.
  • Evidence of satisfactory English language skills is required for candidates where English is not their first language, such as IELTS 6.0 or above or TOEFL 550 or above.

Graduates will be equipped with knowledge, skills and experience in three major dimensions: Strategic and Commercial applicatio, "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 t 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. 
  • Industrial Final Semester Capstone Project from top IT firms such as Hilti Malaysia, IBM, Maxis, InfoPro, EMC, BIIT Consulting and Fusionex.
  • 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, compirisng 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 adn assessment. Students also obtain certiifcation 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.<