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Master of Business Data Science
About
The Master of Business Data Science programme is designed to develop professionals with the analytical and strategic skills needed to drive business growth in today’s data-driven world. Students gain expertise in key areas such as business analytics, data analytics, machine learning, and data science, enabling them to translate complex data into actionable business insights. Combining theory with practical application, the programme equips graduates to tackle real-world challenges and make data-informed decisions in a rapidly evolving digital economy.
Key facts
| Qualification | Master's Degree |
| Study mode | Full-time |
| Duration | 1 year |
| Intakes | February, June, October |
| Total estimated cost (local) | $ 11,875 |
| Total estimated cost (foreign) | $ 8,485 |
Subjects
-
Business
-
Other Sciences
Duration
1 year
Tuition fees
| Description | Local students | Foreign students |
|---|---|---|
| Tuition fee | $ 10,429 | $ 5,096 |
| Miscellaneous fees | $ 1,446 | $ 3,389 |
| Total estimated cost of attendance | $ 11,875 | $ 8,485 |
| Estimated cost per year | $ 11,875 | $ 8,485 |
Miscellanous fees explained
Local students
| Description | Amount |
|---|---|
| Registration Fee | $ 474 |
| Resource Fee | $ 30-$ 3,413 |
| Selection Fee | $ 0-$ 119 |
Foreign students
| Description | Amount |
|---|---|
| Processing Fee | $ 356 |
| Visa Application Fee (EMGS) | $ 521 |
| Registration Fee | $ 474 |
| Administration Fee | $ 711-$ 1,896 |
| Resource Fee | $ 569-$ 3,555 |
Estimated cost as reported by the institution. There may be additional administrative fees. Please contact us for the latest information.
Every effort has been made to ensure that information contained in this website is correct. Changes to any aspects of the programmes may be made from time to time due to unforeseeable circumstances beyond our control and the Institution and EasyUni reserve the right to make amendments to any information contained in this website without prior notice. The Institution and EasyUni accept no liability for any loss or damage arising from any use or misuse of or reliance on any information contained in this website.
Admissions
Intakes
Entry Requirements
Any of these:
- Bachelor’s Degree in a related field (Bachelor's Degree Level):
- A Bachelor’s Degree in Computing or related fields, with a minimum CGPA of 2.50.
- Bachelor’s Degree in a related field (Bachelor's Degree Level):
- 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) (Bachelor's Degree Level):
- 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) (Bachelor's Degree Level):
- 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
English Proficiency (For International Students):
- Minimum IELTS score of 6.0 or equivalent.
Curriculum
Semester 1:
- Coding for Data Science
- Business Data Techniques & Analytics
- Research Methods for Business Data Science
- Data Management
Semester 2:
- Applied Machine Learning
- Behavioural Science for Business Domain
- Data Mining and Statistical Methods
- Research Project 1
Semester 3:
- Cloud Infrastructure and Services
- Data Storytelling and Analytics
- Natural Language Processing
- Research Project 2