Course Structure and Semester-wise Breakdown
The curriculum is structured over 4 semesters, with each semester comprising a mix of core subjects, departmental electives, science electives, and laboratory components designed to provide students with a holistic understanding of operations management principles and their application in real-world settings.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | MBA101 | Managerial Economics | 3-0-0-3 | - |
| 1 | MBA102 | Business Statistics | 3-0-0-3 | - |
| 1 | MBA103 | Organizational Behavior | 3-0-0-3 | - |
| 1 | MBA104 | Financial Accounting | 3-0-0-3 | - |
| 1 | MBA105 | Operations Strategy | 3-0-0-3 | - |
| 1 | MBA106 | Introduction to Operations Management | 3-0-0-3 | - |
| 2 | MBA201 | Supply Chain Management | 3-0-0-3 | MBA101, MBA102 |
| 2 | MBA202 | Process Design and Analysis | 3-0-0-3 | MBA101, MBA105 |
| 2 | MBA203 | Quality Management Systems | 3-0-0-3 | MBA101, MBA102 |
| 2 | MBA204 | Inventory Control | 3-0-0-3 | MBA101, MBA102 |
| 2 | MBA205 | Laboratory: Operations Simulation | 0-0-3-1 | - |
| 3 | MBA301 | Lean Six Sigma | 3-0-0-3 | MBA201, MBA202 |
| 3 | MBA302 | Operations Research | 3-0-0-3 | MBA102, MBA204 |
| 3 | MBA303 | Data Analytics for Business | 3-0-0-3 | MBA102, MBA202 |
| 3 | MBA304 | Strategic Planning | 3-0-0-3 | MBA101, MBA105 |
| 3 | MBA305 | Laboratory: Data Analysis and Visualization | 0-0-3-1 | - |
| 4 | MBA401 | Capstone Project I | 0-0-6-3 | MBA301, MBA302, MBA303 |
| 4 | MBA402 | Capstone Project II | 0-0-6-3 | MBA401 |
| 4 | MBA403 | Operations Thesis | 0-0-0-6 | MBA402 |
| 4 | MBA404 | Industry Internship | 0-0-0-3 | MBA401, MBA402 |
Advanced Departmental Electives
The program includes several advanced departmental electives that allow students to specialize in specific areas within operations management. These courses are taught by faculty members who are active researchers and consultants in their respective fields.
Lean Six Sigma: This course focuses on improving process efficiency through statistical analysis and continuous improvement methodologies. Students learn how to apply Lean principles and Six Sigma tools to eliminate waste, reduce variation, and improve quality in manufacturing and service environments. The course combines theoretical instruction with hands-on practice using real-world case studies.
Operations Research: This course delves into mathematical modeling techniques used in operations management, including linear programming, network flow models, queuing theory, and decision analysis. Students learn how to formulate complex problems mathematically and solve them using computational tools like Excel Solver, Python, and specialized software packages.
Data Analytics for Business: With the rise of big data and artificial intelligence, this course prepares students to leverage analytical frameworks for strategic decision-making. Topics include data mining, predictive modeling, machine learning algorithms, business intelligence platforms, and dashboard development using tools like Tableau, Power BI, and R.
Supply Chain Analytics: This elective explores the integration of analytics into supply chain management processes. Students learn how to use forecasting models, optimization algorithms, and simulation techniques to enhance supply chain performance. The course emphasizes practical applications through projects with real companies.
Sustainable Operations: Focused on environmental responsibility in business operations, this course examines sustainability metrics, lifecycle assessment, carbon footprint analysis, and green supply chain management strategies. Students gain insights into regulatory frameworks and corporate sustainability reporting practices.
Digital Transformation in Operations: As digital technologies reshape traditional industries, this course explores how companies can leverage IoT, AI, robotics, blockchain, and cloud computing to transform their operations. It includes discussions on change management, innovation strategy, and implementation challenges in digital environments.
Healthcare Operations: This course addresses operational challenges unique to healthcare institutions, including patient flow optimization, resource allocation in critical care units, quality improvement initiatives, and regulatory compliance in healthcare delivery systems.
Project Management & Innovation: Designed for students interested in leading complex projects, this course covers project planning, risk assessment, team coordination, innovation management, and agile methodologies. Students develop practical skills through simulations and real-world consulting projects.
Manufacturing Systems: This course provides an in-depth look at modern manufacturing technologies, lean production systems, automation, quality control, and process optimization techniques used by leading manufacturers globally.
Risk Management & Business Continuity: Students learn how to identify operational risks, assess their impact, and develop mitigation strategies. The course covers business continuity planning, disaster recovery protocols, and regulatory compliance in risk-sensitive industries.
Project-Based Learning Approach
The program emphasizes project-based learning as a key component of the educational experience. Students engage in both mini-projects and a final-year capstone project that allows them to apply theoretical knowledge to real-world problems.
Mini-projects are assigned in the second semester and involve small teams working on specific operational challenges faced by organizations. These projects typically last 6-8 weeks and are evaluated based on feasibility, innovation, impact assessment, and presentation quality. Faculty mentors guide students through each phase of the project lifecycle.
The capstone project begins in the third semester and continues into the fourth. Students select a topic related to their area of interest and work closely with faculty advisors and industry partners. The project must demonstrate originality, rigor, and relevance to current industry trends. A final thesis report is submitted, along with a presentation to an external panel of experts.
Students have the opportunity to choose from various project domains such as supply chain optimization, process redesign, digital transformation, sustainability initiatives, or innovation management. The selection process involves submitting proposals that are reviewed by faculty members based on alignment with program objectives and available resources.