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.

Who Should Attend

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.

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

• 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
• Data Architect