The Master of Business Data Science programme aims to produce professionals with the skills and knowledge to delve into strategic data analytical aspects of business and its growth. In today’s rapidly evolving digital environment, the ability to interpret and leverage data is crucial. The programme prepares students for key analytical skills important in today's digital environment, such as business analytics, data analytics, machine learning engineering and data science. Graduates of this programme will be well-prepared to tackle real-world business problems, utilising a blend of theoretical knowledge and practical application.
Bachelor’s Degree in a related field |
A Bachelor’s Degree in Computing or related fields, with a minimum CGPA of 2.50 |
Bachelor’s Degree in a related field |
A Bachelor’s Degree in Computing or related fields or equivalent with a minimum CGPA of 2.00, and a minimum of 5 years of working experience in the related field and rigorous internal assessment. |
Equivalent Bachelor’s Degree (in related field) |
Other qualifications equivalent to a Bachelor’s Degree in the field of Computing or related fields recognised by the Government of Malaysia must undergo appropriate prerequisite courses as determined by the University. |
Bachelor’s Degree (in non-related field) |
A minimum CGPA of 2.00, and a minimum of 5 years of working experience in the related field. Subject to rigorous internal assessment and must undergo appropriate prerequisite courses as determined by the University. |
APEL A |
Entry requirements for admission into the Bachelor's programme through Accreditation of Prior Experiential Learning (APEL) as approved by the Ministry of Education (MOHE). Applicants should be / have the following: A Malaysian citizen More than 21 years of age Relevant work experience / prior experiential learning Pass APEL assessment Credit in SPM / UEC for Maths or equivalent |
English Qualifications |
IELTS - Minimum score of 6.0 or its equivalent |
Graduates of the Master of Business Data Science can work in various roles in business, but it can also be typically narrowed to:
Data analyst |
Business analyst |
Machine learning engineer |
Data scientist |
Entrepreneurs and technopreneurs |
Graduates can find employment opportunities in organisations such as:
Banks/Financial services |
Consulting firms |
Business intelligence research centres |
Semester 1 |
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Semester 2 |
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Semester 3 |
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