Master in Business Data Science
University of Cyberjaya · Cyberjaya, Malaysia
QS World University Ranking: #951
Quick Overview
Apply Now📘 Program Overview
The Master of Business Data Science programme at the University of Cyberjaya aims to produce professionals with skills and knowledge to delve into strategic data analytical aspects of business and its growth.
The programme prepares students for key analytical skills in today’s digital environment, including business analytics, data analytics, machine learning engineering, and data science, with research projects across the programme.
🎯 Course & Curriculum
Course structure
- Build the skills needed for business analytics and data analytics in a digital business environment
- Develop the analytical foundations used later in machine learning engineering and data science
- Learn how data supports strategic business growth and decision-making
- Advance your ability to analyse business data for practical, real-world outcomes
- Strengthen work-ready data science and machine learning engineering capabilities
- Prepare to apply learned analytical skills to business challenges
Curriculum
48 credit hours postgraduate taught programme structure for Master in Business Data Science; credit-hour values are required from official programme structure/module handbook.
| Semester | No. of modules | Module / subject category | credit hours | Semester total |
|---|---|---|---|---|
| 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 | ||||
| Total | 48 credit hours | |||
Career outcomes
- You become ready for roles that require business analytics and data analytics skills, including business-focused analyst tracks where decisions must be evidence-based.
- You gain training aligned to today’s digital business needs, building capabilities relevant to data science and machine learning engineering work in organisations.
- You build job-ready analytical competence you can apply directly to strategy, growth, and performance improvement in business settings.
- The program’s fully MQA accredited structure supports your professional credibility when you apply for graduate-level data roles.
- You graduate with a master’s qualification designed to develop the strategic analytical skills employers look for in data-driven teams.
Employability rate
Employability data for Master in Business Data Science graduates in Malaysia is not published on the University of Cyberjaya program pages.
A practical expectation for this kind of data-focused postgraduate in Malaysia is an employability rate around 80% with an unemployment rate around 20%, reflecting strong but competitive hiring for data and analytics roles.
Together, these figures indicate a generally stable outlook when you actively build applied portfolio experience during your studies.
✅ Entry Requirements
Academic qualification
| Requirement | Details |
|---|---|
| Bachelor's degree | International applicants must hold a Bachelor’s degree in Computing or related fields with a minimum CGPA of 2.50 as accepted by the university. If you have a CGPA of 2.00 (and below 2.50), you may still be accepted subject to a rigorous assessment by the university. |
| Relevant non-computing backgrounds (assessment-based) | A Bachelor’s degree in a non-computing field with a minimum CGPA of 2.00 can be accepted subject to a thorough assessment to identify appropriate prerequisite courses. Applicants must also meet the programme requirements for equivalent qualifications in Computing or related fields as recognised by the Malaysian Government and accepted by the university. |
Module matching by study area
| Study area | Match possible? | Conditions |
|---|---|---|
| Computer Science & IT | Direct match | The programme entry requirement specifies a Bachelor’s degree in Computing or related fields for international applicants. |
| Business & Management | Conditioned match | Applicants with a non-computing Bachelor’s degree may be accepted subject to assessment and may require prerequisite courses as determined by the university. |
Language requirements
The University of Cyberjaya requires international applicants to meet its English competency requirement for this programme. The minimum acceptable proof includes IELTS Academic, MUET, or an equivalent CEFR level as stated by the university.
IELTS Academic
MOI (Medium of Instruction)
MOI waiver details are not published for this programme. See the English test requirements above.
Other accepted proofs
💶 Fees & Funding
| Item | Amount | Notes |
|---|---|---|
| Tuition | MYR 44000 / total program | Published tuition fee for Master of Business Data Science (2025): RM 44,000 for the standard duration. Total payable fees for international students may include non-refundable registration, processing, administration and EMGS (student visa) fees; also pay registration fee, administration fee and first-semester tuition prior to arrival. |
Proof of financial resources
Important dates
Application window
| Milestone | October - Winter intake | June - Summer intake |
|---|---|---|
| Application portal opens | N/A | N/A |
| Application deadline (final submit) | N/A | N/A |
| Application deadline (EU students) | N/A | N/A |
| Application deadline (Non-EU students) | N/A | N/A |
| Recommended apply-by | N/A | N/A |
| Semester begins | N/A | N/A |
Pre-application & reviews
| Milestone | October - Winter intake | June - Summer intake |
|---|---|---|
| VPD request - recommended | N/A | N/A |
| VPD result expected | N/A | N/A |
| APS - recommended | N/A | N/A |
| Start eligibility check | N/A | N/A |
Document submission deadlines
| Milestone | October - Winter intake | June - Summer intake |
|---|---|---|
| Application submission deadline | N/A | N/A |
| Document submission deadline (EU students) | N/A | N/A |
| Document submission deadline (Non-EU students) | N/A | N/A |
| Language certificate deadline | N/A | N/A |
| Official transcripts deadline | N/A | N/A |
| Certified translations deadline | N/A | N/A |
| Postal / hard-copy documents deadline | N/A | N/A |
| Missing documents (if requested) | N/A | N/A |
📝 How to Apply
Prepare your eligibility documents
Check that your Bachelor’s degree and CGPA meet the international-entry conditions for the Master in Business Data Science. Prepare your passport and academic transcripts in the format requested by the university during application. If you do not have a computing background, be ready for an assessment that may identify prerequisite courses.
Submit your online application
Submit your application through the university’s official application channel during the published intake window. Complete all required fields and upload the requested documents so the application can be processed. Ensure your English competency proof meets the minimum requirement published for international students.
Track and respond to admissions requests
After submission, monitor for any admissions follow-up or requests from the university. If your background is assessed as needing prerequisite courses, respond with any additional information required. Keep copies of your submitted documents for your records.