Course Structure Overview

Advanced Departmental Electives

These advanced courses are designed to deepen students' understanding of specialized areas within business administration:

• Business Analytics: This course focuses on leveraging data science techniques for strategic decision-making in organizations. Students learn statistical modeling, predictive analytics, and machine learning applications.
• Digital Marketing Strategy: An exploration of online marketing channels, including social media, email marketing, SEO, and paid advertising. Students gain practical skills in campaign planning and performance analysis.
• Entrepreneurship & Innovation Management: Covers ideation, business model development, innovation frameworks, and startup financing strategies. Emphasis is placed on creating viable business concepts from scratch.
• Sustainable Business Practices: Examines the intersection of environmental stewardship and corporate strategy, focusing on green supply chains, carbon footprint reduction, and sustainable product design.
• Global Supply Chain Management: Analyzes logistics, procurement, inventory control, and cross-border coordination in international business environments.
• Cross-Cultural Leadership: Prepares students to lead diverse teams in multicultural settings by examining cultural dimensions, communication styles, and global leadership theories.
• Financial Risk Assessment: Teaches risk identification, measurement, and mitigation strategies using financial instruments and regulatory frameworks.
• Corporate Governance & Ethics: Focuses on legal structures, ethical dilemmas, compliance, and stakeholder management in modern corporations.
• Human Capital Analytics: Utilizes data analytics to optimize recruitment, retention, performance evaluation, and employee development strategies.
• Innovation Ecosystems: Explores the role of government policies, universities, incubators, and venture capital in fostering innovation within industries.

Project-Based Learning Philosophy

The program strongly emphasizes project-based learning to ensure students develop hands-on experience that mirrors real-world challenges. Projects are structured across multiple semesters, with each phase building upon previous learnings.

Mini-projects begin in the second year and culminate in a final-year capstone thesis. Students select projects aligned with their interests and career aspirations, working closely with faculty mentors who guide them through research, analysis, and implementation stages.

Evaluation criteria include project proposal quality, methodology rigor, data interpretation, presentation skills, and peer feedback. The final thesis is assessed based on originality, depth of analysis, contribution to literature, and practical applicability.

Faculty mentors are chosen based on expertise in the respective fields, ensuring that students receive guidance from professionals who understand both academic rigor and industry relevance. The mentorship process encourages continuous improvement and fosters a collaborative environment where ideas are challenged and refined.