Introduction
Future-Proofing Leadership: The Nexus of Management and Data. The Management and Business Analytics Department pioneers the next generation of global leaders, equipping them with the dual mastery of strategic organizational leadership and advanced data intelligence. We don't just teach management; we teach Management in the Digital Age. Our program flawlessly merges core management principles with cutting-edge Business Analytics to empower you to drive strategic growth, solve complex organizational challenges, and lead market transformation. Graduates emerge as confident, influential professionals prepared to harness the power of data to create unprecedented value across every sector.
Mission
To forge strategic, data-driven leaders capable of commanding the complex, information-rich landscape of modern business. We provide an unparalleled education that flawlessly integrates advanced analytical expertise with core management principles. We commit to equipping graduates with the vision, technical proficiency, ethical judgment, and business acumen necessary to translate complex data into sustainable strategic advantage and lead organizational success in the digital era.
Objectives
Strategic Data Mastery: Achieve fluency in advanced analytical and statistical methods, enabling the translation of complex organizational data into clear, strategic business insights.
Integrated Management Application: Apply data-driven techniques seamlessly across all management functions, including Strategic Management, Finance, and Operations, for maximized organizational effectiveness.
Technology Command: Develop practical expertise in cutting-edge Big Data and AI tools, ensuring immediate career readiness with industry-standard software and platforms.
Decisive Leadership: Cultivate advanced critical thinking and complex problem-solving skills, preparing students to make high-stakes, data-informed decisions under pressure.
Impactful Communication: Master the ability to present analytical findings and business recommendations clearly and persuasively to diverse leadership and technical teams.
Ethical Governance: Instill a rigorous foundation in data governance, security, and ethical management practices, ensuring responsible and compliant leadership.
Future-Ready Adaptability: Foster a commitment to continuous professional development, ensuring graduates are prepared to lead change and adapt to emerging technologies like Machine Learning and Predictive Analytics.
Program Learning Outcome
Apply advanced analytical and statistical methods to interpret complex business data and generate strategic insights.
Integrate data-driven decision-making techniques across diverse business functions and organizational contexts.
Demonstrate proficiency in using industry-standard analytics tools, software, and technologies for data visualization and modeling.
Think critically and creatively to solve complex business problems using analytical frameworks and methodologies.
Communicate analytical findings effectively to diverse stakeholders through clear visualizations and presentations.
Apply ethical principles and data governance standards in all aspects of data collection, analysis, and reporting.
Demonstrate leadership, teamwork, and a commitment to continuous professional development in the field of Management and Business Analytics.
Structure of the program
University requirement:
| Program Name | Business Analytics Program |
|---|---|
| Program Code | BSBA |
| Credits Units | 120 |
| Language of Instruction | English |
| Mode of Study | On-Campus |
| Study Duration | 4 Years |
| Number of Levels | 8 Levels |
| Number of weeks\levels | 15 Weeks |
| Graduation requirements | GPA 2.0 out of 4.0 |