MSc in Data Science and Business Analytics
Kuala Lumpur, Malaysia
DURATION
1 up to 3 Years
LANGUAGES
English
PACE
Full time, Part time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
Jun 2024
TUITION FEES
MYR 36,800 / per year *
STUDY FORMAT
On-Campus
* for Malaysian students. RM42,400 (USD 10,735) for international students
Introduction
This programme is designed to provide students with the 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.
| Duration: Full-time (12 months) Part-time (24+ months) | Dual Degree Award: Asia Pacific University, Malaysia and De Montfort University, UK | Intake: Full-time: 26 June 2023/ 16 Oct 2023 Part-time: 11 Aug 2023/ 20 Oct 2023 |
Curriculum
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 | |
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| CORE MODULES | |
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| SPECIALIZATION MODULES (CHOOSE 1 PATHWAY ONLY) | |
| Pathway 1 (Business Intelligence):
OR Multilevel Data Analysis | Pathway 2 (Data Engineering):
OR Building IoT Applications |
JOINT PROFESSIONAL CERTIFICATION BY TIBCO SOFTWARE INC.
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| Upon completion of the MSc in Data Science & Business Analytics programme, in addition to their Masters Degrees, students will receive a professional certificate from TIBCO Software Inc. TIBCO is amongst the global leaders in Integration, Data Management and Analytics platforms that has a global clientele. In addition to the certification, TIBCO, as APU’s industry partner, has provided all students & lecturers with complimentary access to the TIBCO Spotfire software for academic purposes. Students are utilizing the software to perform tasks & projects related to data analytics. |
SAS - APU JOINT CERTIFICATE IN DATA SCIENCE AND BUSINESS ANALYTICS
| | APU and SAS have signed an MoA in partnership to develop Data Scientists in Malaysia. SAS also has endorsed the UG and PG level programmes in Data Analytics by providing tools and educational material support for learning and research purposes. All UG and PG Data Analytics graduates will receive a Joint Professional Certificate from SAS. |
Gallery
Program Outcome
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 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.
Admissions
Ideal Students
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.
Career Opportunities
CAREER OPTIONS
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