Yearly Tuition fees | |||
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Year | Fee | ||
1st Year | MYR 36,800 |
Other Fees | |||
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Description | Fee | ||
Library & Personal Bond Deposit (Refundable) | MYR 1,500 | ||
University Administrative Fees | MYR 5,800 |
Embark on a transformative journey with APU University Malaysia Master of Science in Data Science and Business Analytics program. Explore a myriad of invaluable insights and skills, detailed below:
Upon completing the Master of Science in Data Science and Business Analytics program, graduates will possess a diverse skill set tailored for success in today's data-driven business landscape. They'll adeptly collect, clean, and analyze large datasets to extract valuable insights, driving strategic decision-making. Additionally, graduates excel in predictive modeling, fostering innovation, and effectively communicate findings to stakeholders. Ethical considerations and regulatory compliance are also emphasized, ensuring responsible data handling. Overall, graduates emerge as versatile professionals capable of driving organizational growth and innovation through strategic data analytics.
Students who joined the Master of Science in Data Science and Business Analytics program at APU University Malaysia will have the option to apply for the APU-DMU Dual Degree Scheme. Under this Scheme, students will be able to get 2 Degree Certificates and transcripts upon graduation: 1 from Asia Pacific University (APU), Malaysia, and 1 from De Montfort University (DMU), UK. please note this is optional and costs GBP 375 Per year. For more information about this Scheme (Click here)
• 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.
The programme comprises 4 pre-requisite modules (for non-Computing students), 11 coursework modules and a Capstone Project (2 parts).
PRE-REQUISITE MODULES
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CORE MODULES |
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SPECIALISATION MODULES (CHOOSE 1 PATHWAY ONLY) |
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Pathway 1 (Business Intelligence):
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Pathway 2 (Data Engineering):
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