The Master of Science (MSc) in Business Data Analytics is a rigorous, future-focused graduate program designed to prepare professionals to navigate and lead in data-driven business environments. Anchored in both local and global perspectives, the program equips students with advanced competencies in data analytics, big data, and machine learning, enabling them to critically evaluate complex business scenarios and formulate innovative, evidence-based solutions.
Through a combination of technical expertise, strategic insight, and ethical foundations, students will master the skill of transforming data into actionable intelligence. Emphasis is placed on effective communication using modern visualization tools, interdisciplinary collaboration, and cultural sensitivity in team management. The curriculum nurtures strong research skills and analytical thinking, empowering graduates to drive organizational change and sustainable growth in dynamic business environments.
Graduates will emerge as ethically responsible leaders and skilled analysts, capable of integrating advanced analytical tools across diverse business functions and shaping strategic decisions that are both impactful and sustainable.
Goal#01:
Graduates will be equipped to critically analyze and interpret complex business scenarios by applying data analytics, big data, and machine learning techniques in both local and global contexts. They will integrate critical thinking and problem-solving skills to design innovative, data-driven business solutions.
Goal#02:
Graduates will demonstrate the ability to communicate business insights effectively through advanced data visualization and technological tools, manage professional teams, and foster relationships that respect socio-cultural norms to achieve strategic objectives.
Goal#03:
Graduates will be capable of applying ethical reasoning, sustainability principles, and corporate social responsibility in data-driven decision-making processes, while utilizing interdisciplinary knowledge and analytical tools across key business functions.
Goal#04:
Graduates will develop intense research and analytical competencies to investigate complex business challenges and lead organizational change by leveraging data analytics in dynamic and evolving business environments.
| Course No | Course Title | CR.H. | Prerequisite |
|---|---|---|---|
| Core Courses (21) CR.H. | |||
| 0507611 | Data Governance, Strategy & Management | 3 | |
| 0507612 | Database Management | 3 | |
| 0507613 | Business Data Analytics | 3 | |
| 0507614 | Business Intelligence and Data Visualization | 3 | |
| 0507615 | Machine Learning for Business | 3 | 0507613 |
| 0507616 | Data Ethics and Legal Frameworks | 3 | |
| 0507617 | Cloud Computing for Analytics | 3 | |
| Applied Research Projects (6) CR.H. | |||
| 0507680 | Predictive Data Analytics | 3 | 0507613 |
| 0507690 | Business Data Analytics Capstone | 3 | 0507615 |
| Elective Courses (6) CR.H. | |||
| 0502622 | Financial and Accounting Analytics | 3 | 0507613 |
| 0504621 | Marketing Analytics | 3 | 0507613 |
| 0506622 | Supply Chain Analytics | 3 | 0507613 |
| 0506623 | Big Data Analytics & Technologies | 3 | 0507613 |
| 0506626 | Programming for Business Data Analytics | 3 | 0507613 |
| 0506627 | Advanced Topics in Machine Learning | 3 | 0507613 |
| 0507624 | Healthcare Analytics | 3 | 0507613 |
| 0508625 | Project Management Analytics | 3 | 0507613 |
