Full time:
1+ months

Part time:
2.5 - 3 years

Total: Malaysian - RM 40,800 | International - RM 42,400

Full-time
• 04 Jun 2024
• 18 Sep 2024

Part-time
• 07 Jun 2024
• 16 Aug 2024
• 25 Oct 2024

Asia Pacific University, Malaysia

The programme comprises of 11 coursework modules (including Research Methodology module) and a Capstone Project (2 parts).

* 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.

• 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. Who Should Atten

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.

Why Study MSc in Data Science and Business Analytics?

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 at least 15,000 professionals.

The Malaysia Big Data Vision - Demand for Data Science Professionals

“By the year 2020, it is envisioned that Malaysia will need to reach 15,000 Data Professionals”
- Multimedia Development Corporation (MDeC)

“12,000 Big Data scientists are needed within the next five years to spur Malaysia's data-driven economy”
- Datuk Seri Idris Jusoh, Higher Education Minister (September 2015)

“We have partnered with five universities in Malaysia to embed analytics into their computer science curriculum. Also, we are working with these universities to upgrade the syllabus to produce data scientists to address future needs”
- Paul Moung, Managing Director of IBM Malaysia

TURNING BIG DATA INTO VALUE - 4Vs

Dream Big: Think BIG - Reasons to Study BIG Data:

1. “The United States alone faces a shortage of 140,000 to 190,000 people with analytical expertise and 1.5 million managers and analysts with the skills to understand and make decisions based on the analysis of big data.” - McKinsey Report on BIG DATA

2. “Starting salaries for data scientists have gone north of $200,000” - Bloomberg

3. “The Whitehouse Administration is investing $200 Million into big data research projects” - Mushroom Networks

4. “Data scientists are the new superheroes,” says Pascal Clement, the Head of Amadeus Travel Intelligence in Madrid

5. “Malaysia needs additional 12,000 Data Scientists” - Ministry of Education

6.  “Data Scientist: The Sexiest Job of the 21st Century.” - Harvard Business Review

Source:

https://hbr.org/2012/10/data-scientist-the-sexiest-job-of-the-21st-century

https://www.mckinsey.com/business-functions/mckinsey-digital/our-insights/big-data-the-next-frontier-for-innovation

https://www.bloomberg.com/news/articles/2015-06-04/help-wanted-black-belts-in-data

https://www.mushroomnetworks.com/

Data Science @ APU - FORTIFIED through PARTNERSHIPS

The programme has been carefully designed by APU with inputs and content 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 ensures 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.

Graduates from this programme will not only gain an academic qualification from APU, but would also automatically attain a Globally Recognised Professional Industry Certification from SAS. Along the way, graduates would also gain exposure to industrial workshops led by experts from the industry, providing a valuable gateway into future careers.