Comprehensive Course Structure

Semester	Course Code	Course Title	Credit (L-T-P-C)	Pre-requisites
1	RM-101	Introduction to Retail Management	3-0-0-3	-
1	RM-102	Business Fundamentals	3-0-0-3	-
1	RM-103	Quantitative Methods for Business	3-0-0-3	-
1	RM-104	Introduction to Marketing	3-0-0-3	-
2	RM-201	Consumer Behavior	3-0-0-3	RM-101, RM-104
2	RM-202	Retail Operations	3-0-0-3	RM-101
2	RM-203	Supply Chain Management	3-0-0-3	RM-101
2	RM-204	Business Statistics	3-0-0-3	RM-103
3	RM-301	Retail Strategy	3-0-0-3	RM-201, RM-202
3	RM-302	E-commerce and Online Retailing	3-0-0-3	RM-101, RM-204
3	RM-303	Data Analytics in Retail	3-0-0-3	RM-204
3	RM-304	Retail Store Management	3-0-0-3	RM-202
4	RM-401	Omnichannel Retailing	3-0-0-3	RM-301, RM-302
4	RM-402	Retail Technology Integration	3-0-0-3	RM-302
4	RM-403	Retail Pricing Strategies	3-0-0-3	RM-301, RM-304
4	RM-404	Retail Branding and Communication	3-0-0-3	RM-301, RM-302
5	RM-501	Sustainable Retail Practices	3-0-0-3	RM-401, RM-402
5	RM-502	Retail Innovation and Entrepreneurship	3-0-0-3	RM-401, RM-403
5	RM-503	International Retail Management	3-0-0-3	RM-401, RM-402
5	RM-504	Retail Customer Experience Design	3-0-0-3	RM-401, RM-402
6	RM-601	Retail Analytics and Predictive Modeling	3-0-0-3	RM-501, RM-503
6	RM-602	Retail Risk Management	3-0-0-3	RM-501, RM-502
6	RM-603	Retail Supply Chain Optimization	3-0-0-3	RM-501, RM-503
6	RM-604	Retail Leadership and Organizational Behavior	3-0-0-3	RM-502, RM-504
7	RM-701	Retail Capstone Project	4-0-0-4	All previous courses
7	RM-702	Retail Research Methodology	3-0-0-3	RM-601, RM-602
7	RM-703	Retail Policy and Ethics	3-0-0-3	RM-601, RM-602
7	RM-704	Retail Innovation Lab	3-0-0-3	All previous courses
8	RM-801	Retail Thesis	6-0-0-6	RM-701, RM-702
8	RM-802	Retail Industry Internship	3-0-0-3	All previous courses
8	RM-803	Retail Leadership Workshop	2-0-0-2	All previous courses
8	RM-804	Retail Capstone Presentation	2-0-0-2	RM-801, RM-802

Detailed Course Descriptions

Retail Analytics and Predictive Modeling (RM-601): This course delves into advanced statistical techniques and machine learning algorithms used in retail analytics. Students learn to predict consumer trends, optimize inventory levels, and personalize customer experiences using big data tools like Python, R, and SQL.

Retail Risk Management (RM-602): The focus of this course is identifying, assessing, and mitigating risks in retail operations. Topics include financial risk, operational risk, cybersecurity threats, and compliance issues relevant to modern retail environments.

Retail Supply Chain Optimization (RM-603): This course explores optimization strategies for supply chains, including demand forecasting, warehouse management, logistics coordination, and supplier relationship management. Practical applications involve simulation exercises using real-world datasets.

Retail Leadership and Organizational Behavior (RM-604): Designed to develop leadership capabilities in retail contexts, this course covers team dynamics, change management, organizational culture, and ethical decision-making in business settings.

Retail Capstone Project (RM-701): A comprehensive project where students work in teams on a real-world problem identified by industry partners. The project integrates all concepts learned throughout the program and culminates in a detailed report and presentation.

Retail Research Methodology (RM-702): This course introduces students to research design, data collection techniques, hypothesis testing, and qualitative analysis methods specific to retail environments. Students learn how to conduct academic research while applying it to practical business scenarios.

Retail Policy and Ethics (RM-703): Examines the role of policy and ethics in shaping retail practices. Students explore regulatory frameworks, corporate social responsibility initiatives, labor standards, and sustainable development goals within the context of global retail operations.

Retail Innovation Lab (RM-704): An experiential learning environment where students experiment with emerging technologies like IoT, AR/VR, blockchain, and AI in retail applications. The lab encourages creativity and innovation through hands-on experimentation and prototyping.

Retail Thesis (RM-801): A capstone research project that allows students to explore a specialized area of interest within retail management. Students conduct original research under faculty supervision, contributing new knowledge or insights to the field.

Retail Industry Internship (RM-802): Provides students with real-world experience in retail organizations. Internships are arranged through industry partnerships and offer exposure to practical challenges, professional development opportunities, and networking within the sector.

Retail Leadership Workshop (RM-803): A series of interactive workshops focused on developing leadership skills essential for retail professionals. Topics include strategic thinking, communication strategies, emotional intelligence, and cross-cultural management.

Retail Capstone Presentation (RM-804): Final presentation event where students showcase their capstone projects to faculty, industry experts, and peers. The session evaluates both the quality of research and presentation skills developed during the program.

Project-Based Learning Philosophy

Our department believes that project-based learning is integral to mastering retail management principles. Students engage in both individual and collaborative projects throughout their academic journey, beginning with small-scale assignments in early semesters and progressing to large-scale capstone initiatives in the final year.

Mini-projects are typically undertaken during the second semester of each academic year. These projects involve applying theoretical concepts to real-world situations, often sourced from industry partners or published case studies. Evaluation criteria include research quality, presentation skills, teamwork, and innovation in addressing business challenges.

The final-year thesis/capstone project is a significant undertaking that requires students to select a topic of interest within the field of retail management. They collaborate with faculty mentors to design a study, collect and analyze data, and produce a comprehensive report. This process develops critical thinking, research competence, and professional maturity necessary for success in the industry.

Project selection is facilitated through a structured process involving topic proposals, faculty mentorship matching, and approval from departmental committees. Students are encouraged to choose topics that align with their career interests while contributing valuable insights to current retail practices or emerging trends in the sector.