Program Overview
The Master of Science in Business Analytics (MScBA) is a graduate-level program designed to equip students with the advanced analytical and technical skills needed to transform data into actionable business insights. It integrates knowledge from statistics, data science, information systems, and business strategy to support data-driven decision-making in modern enterprises.
Benefits
Benefits to the Graduate:
- Gaining advanced competencies in data analysis, machine learning, and business intelligence, making them highly competitive in a data-driven job market.
- Career Advancement Opportunities.
- Strategic Decision-Making Capabilities.
- Cross-Functional Versatility.
- Enhanced Problem-Solving and Innovation.
Benefits to the Organization:
- Improved Decision-Making.
- Increased Operational Efficiency.
- Competitive Advantage.
- Risk Management and Forecasting.
- Cultural Shift Towards Data-Driven Culture.
Career Opportunities
Master of Science in Business analytics prepares graduates to work in a wide range of management and analytical roles across sectors like finance, healthcare, technology, retail, and government., including:
- Business intelligence analyst
- Data scientist/manager
- Chief analytics officer
- Chief operations analyst
- Information architect and data modeler
The program has been awarded the accreditation by Ministry of Higher Education and Scientific Research, UAE on April 28, 2025.
The MScBA program is a market-relevant program, designed as per the QFEmirates level 9, with emphasis on well-focused program goals and program learning outcomes that prepare students to explore and to be knowledgeable about Data Science, Business Analytics, Business Intelligence, and IT Governance and management, and Programming for Data Analytics.
Master’s in Business Analytics Program Goals
- Goal 1 Equip students with advanced theories and concepts of Business Analytics.
- Goal 2 Prepare the student with competencies to identify business problems and goals necessitate using Business Analytics to be solved.
- Goal 3 Develop the students ability to apply the principles of Business Analytics to solve business problems.
- Goal 4 Enhance students ability to learn, improve, and apply their competencies and to communicate the business analytics insights with stakeholders.
Upon successful completion of the MScBA program, the graduate will be able to:
- PLO 1: Demonstrate advanced knowledge of business analytics theories and methodologies to address complex industry challenges.
- PLO 2: Apply cutting-edge analytics techniques and tools for sustainable business solutions.
- PLO 3: Articulate complex business insights persuasively to technical and non-technical stakeholders.
- PLO 4: Develop innovative entrepreneurial strategies by critically evaluating data-driven insights to enhance business performance.
- PLO 5: Implement data governance and ethical principles to ensure compliance with global regulatory standards.
- PLO 6: Perform effectively as a leader or a team member in multidisciplinary settings leveraging emerging technologies to achieve strategic outcomes.
- PLO 7: Engage in lifelong learning to anticipate and adapt to evolving business analytics challenges and trends.
The MScBA degree shall be awarded to a student upon completing the following requirements:
- A student enrolled in the MScBA program must have passed 30 credit hours.
- A student must have achieved a CGPA of not less than 3.0 on a scale of 4.0 points.
- A student must have earned at least 75% of credits at CUD.
- The Dissertation or Applied Research Project must be completed at CUD.
Dr. Mohamed Noureldin Abdelhakim
Professor
Email: mohamed.abdelhakim@cud.ac.ae
Phone: +971(04)7096817
Program Structure
| Requirements | Total Credit Hours |
|---|---|
| Core Courses | 18 |
| Electives | 06 |
| Dissertation | 06 |
| Total | 30 |
| Course Code | Course Title | Prerequisite | Credit Hours | ||||
|---|---|---|---|---|---|---|---|
|
Core Courses |
18 Cr. Hr. |
||||||
| MBN | 601 | Data Management and Visualization | None | 3 | |||
| MBN | 602 | Statistics for Data Analytics | None | 3 | |||
| MBN | 603 | Programming for Data Analytics | None | 3 | |||
| MBN | 604 | Information Assurance | MBN 601 | 3 | |||
| MIT | 621 | Data Sciences | None | 3 | |||
| MIT | 622 | Data Analytics for Managers | MIT 621 | 3 | |||
| Course Code | Course Title | Prerequisite | Credit Hours | ||||
|---|---|---|---|---|---|---|---|
|
Elective Course: Select two courses from the following elective courses. |
06 Cr. Hr. |
||||||
| MBN | 605 | Contemporary Topics in Business Analytics | MBN 601 | 3 | |||
| MIT | 623 | Business Intelligence | None | 3 | |||
| MBN | 607 | Data Governance and Knowledge Management | MBN 601 | 3 | |||
| Course Code | Course Title | Prerequisite | Credit Hours | ||||
|---|---|---|---|---|---|---|---|
|
Dissertation or Applied Research Project |
06 Cr. Hr. |
||||||
| MBN | 700 | Dissertation | Completion of 18 Cr. Hrs. | 06 | |||
|
OR |
|||||||
| MBN | 710 | Applied Research Project | |||||