Pioneer 
PROGRAMME OUTLINE
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 utilization, to turn data into useful information via various processes.
ADMISSION REQUIREMENTS
| GENERAL REQUIREMENTS | |
| • Bachelor’s degree with minimum CGPA of 2.75 out of 4.00, or its equivalent qualification as acceptable by the Senate. • Bachelor’s degree with CGPA 2.50 out of 4.00, but below CGPA 2.75; can be accepted with rigorous assessment (include test, interview or portfolio). • Bachelor’s degree with CGPA below 2.50 out of 4.00, or qualification which is equivalent can be accepted with minimum 5 years relevant working experience in related field. | |
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 : 5.0 |
Students from English speaking countries and those with qualifications taught in English (previous Bachelor’s/Master’s Degree taught in English) are exempted from English requirements. Applications for exemption must be accompanied by supporting documents.
| Duration: | Awarded by: | Intakes: |
| Full time (1+ years) Part time (2-3 years) | APU, Malaysia | Full Time: 06 Dec 2021 | 04 Apr 2022 | 25 July 2022 | 07 Nov 2022 Part Time: 14 Jan 2022 | 11 Mar 2022 06 May 2022 | 01 Jul 2022 02 Sep 2022 | 04 Nov 2022 |
| 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 Visualization, 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.
| MODULES & PROJECT |
The programme comprises 4 pre-requisite modules (for non-Computing students), 10 coursework modules and a Capstone Project (2 parts).
| PRE-REQUISITE MODULES (FOR NON-COMPUTING STUDENTS: TO BE COMPLETED UPON 1st MONTH OF THE PROGRAMME) | |
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| CORE MODULES | |
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| SPECIALIZATION MODULES (CHOOSE 1 PATHWAY ONLY) | |
Pathway 1 (Business Intelligence):
| Pathway 2 (Data Engineering):
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* Specialization 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.
OPEN & DISTANCE LEARNING (ODL)
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CAREER OPTIONS
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