Comprehensive Course Schedule Across 8 Semesters

Detailed Course Descriptions for Advanced Departmental Electives

Advanced Analytics for Operations: This course delves into the application of statistical modeling, machine learning algorithms, and predictive analytics in optimizing operational processes. Students will learn to use tools such as Python, R, and Tableau to analyze complex datasets and derive actionable insights for decision-making.

Service Operations: Designed for students interested in service delivery industries, this course explores the unique challenges of managing service operations, including customer experience design, service quality measurement, and service innovation strategies.

Sustainable Operations: This elective focuses on integrating environmental sustainability into operational practices. Topics include green supply chains, carbon footprint reduction, circular economy principles, and compliance with environmental regulations.

Business Intelligence: Students are introduced to data warehousing, business intelligence frameworks, and dashboard development using platforms like Power BI and Qlik Sense. The course emphasizes translating data into strategic business insights.

Operations Consulting: This capstone-level course simulates real-world consulting engagements where students work with companies to solve operational problems using structured methodologies and analytical tools.

Innovation in Operations: Focused on fostering creativity, this course teaches students how to generate and implement innovative ideas within operational contexts. Case studies from leading firms provide practical examples of innovation in action.

Industry 4.0 Technologies: This course explores the integration of IoT, AI, robotics, and cyber-physical systems in manufacturing environments. Students will gain hands-on experience with simulation tools and real-world applications in smart factories.

Advanced Project Management: Building upon foundational project management concepts, this course introduces advanced techniques for managing complex projects, including risk mitigation, stakeholder engagement, and agile methodologies.

Lean Manufacturing: Students will study lean principles and tools such as 5S, value stream mapping, and kaizen events. The course includes visits to manufacturing plants and practical workshops on continuous improvement.

Risk Management in Operations: This course examines various operational risks and develops strategies for identifying, assessing, and mitigating them. Topics include supply chain disruptions, cybersecurity threats, and regulatory compliance.

Project-Based Learning Philosophy

The department's philosophy on project-based learning is rooted in the belief that students learn best when they engage with real-world challenges. Projects are designed to simulate actual business environments, requiring students to apply theoretical knowledge to practical situations.

Mini-projects begin in the third year and involve small teams working under faculty supervision. These projects typically span 6-8 weeks and focus on specific operational problems within a chosen industry sector.

The final-year thesis or capstone project is a major undertaking that spans the entire semester. Students select topics based on their interests and career goals, often in collaboration with industry partners. Faculty mentors guide students through the research process, helping them refine hypotheses, design experiments, and present findings.

Evaluation criteria include technical depth, innovation, clarity of presentation, teamwork, and adherence to deadlines. Students must demonstrate critical thinking, problem-solving abilities, and effective communication skills throughout their project journey.