Comprehensive Course List
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | MBA101 | Foundations of Management | 3-0-0-3 | None |
| 1 | MBA102 | Business Statistics and Analytics | 3-0-0-3 | Mathematics |
| 1 | MBA103 | Financial Accounting | 3-0-0-3 | None |
| 1 | MBA104 | Economic Principles | 3-0-0-3 | Mathematics |
| 1 | MBA105 | Organizational Behavior | 3-0-0-3 | None |
| 2 | MBA201 | Strategic Management | 3-0-0-3 | MBA101 |
| 2 | MBA202 | Marketing Management | 3-0-0-3 | MBA104 |
| 2 | MBA203 | Operations Management | 3-0-0-3 | MBA102 |
| 2 | MBA204 | Human Resource Management | 3-0-0-3 | MBA105 |
| 2 | MBA205 | Business Ethics and Corporate Governance | 3-0-0-3 | MBA101 |
| 3 | MBA301 | Advanced Financial Management | 3-0-0-3 | MBA103 |
| 3 | MBA302 | Research Methodology | 3-0-0-3 | MBA102 |
| 3 | MBA303 | International Business | 3-0-0-3 | MBA202 |
| 3 | MBA304 | Data Analytics for Decision Making | 3-0-0-3 | MBA102 |
| 3 | MBA305 | Sustainable Business Practices | 3-0-0-3 | MBA205 |
| 4 | MBA401 | Capstone Project | 3-0-0-3 | All previous courses |
| 4 | MBA402 | Entrepreneurship and Innovation | 3-0-0-3 | MBA201 |
| 4 | MBA403 | Leadership Development | 3-0-0-3 | MBA205 |
| 4 | MBA404 | Business Communication and Negotiation | 3-0-0-3 | MBA101 |
| 4 | MBA405 | Corporate Finance | 3-0-0-3 | MBA301 |
Advanced Departmental Electives
The following departmental electives provide in-depth knowledge and specialized skills:
- Advanced Financial Management: This course delves into complex financial instruments, risk management strategies, and advanced valuation techniques. Students explore derivative securities, portfolio theory, and capital structure decisions under various market conditions.
- Research Methodology: Designed to equip students with rigorous research skills, this course covers qualitative and quantitative methods, hypothesis testing, data collection, and academic writing standards. It prepares students for thesis development and scholarly inquiry.
- International Business: Students examine global trade dynamics, cultural differences in business practices, and international expansion strategies. Case studies from multinational corporations illustrate real-world applications of theoretical frameworks.
- Data Analytics for Decision Making: This course introduces students to statistical modeling, machine learning algorithms, and big data analytics. Through practical projects, students learn to interpret complex datasets and derive actionable insights for business decisions.
- Sustainable Business Practices: Exploring environmental sustainability and corporate responsibility, this elective addresses ethical considerations in business operations, green supply chain management, and ESG investing strategies.
Project-Based Learning Philosophy
Our department emphasizes project-based learning as a cornerstone of the MBA experience. This approach integrates theory with practice, enabling students to apply learned concepts to real-world scenarios.
The curriculum includes mandatory mini-projects in the second year and a final capstone project in the fourth year. These projects are designed to develop critical thinking, analytical skills, and teamwork capabilities. Students select topics aligned with their interests or industry needs, guided by faculty mentors who provide academic supervision and professional feedback.
Mini-projects span 8-12 weeks and involve collaborative teams working on specific business challenges posed by industry partners or internal university initiatives. The capstone project is a comprehensive, long-term endeavor that requires students to conduct original research, synthesize knowledge from multiple disciplines, and present findings to stakeholders including faculty, peers, and industry professionals.
Evaluation criteria for projects include innovation, feasibility, impact assessment, presentation quality, and peer collaboration. Faculty members assess each component using rubrics that ensure consistent grading standards and meaningful feedback mechanisms.