Comprehensive Course Listing Across 8 Semesters

Semester	Course Code	Full Course Title	Credit Structure (L-T-P-C)	Pre-requisites
1	RM-101	Introduction to Retail Management	3-0-0-3	None
1	RM-102	Business Mathematics and Statistics	3-0-0-3	None
1	RM-103	Principles of Management	3-0-0-3	None
1	RM-104	Introduction to Economics	3-0-0-3	None
1	RM-105	Computer Applications for Business	2-0-2-3	None
2	RM-201	Retail Operations and Store Management	3-0-0-3	RM-101
2	RM-202	Consumer Behavior and Psychology	3-0-0-3	RM-103
2	RM-203	Marketing Principles	3-0-0-3	RM-104
2	RM-204	Business Communication and Ethics	3-0-0-3	None
2	RM-205	Introduction to Data Analysis	2-0-2-3	RM-102
3	RM-301	Retail Strategy and Planning	3-0-0-3	RM-201
3	RM-302	Supply Chain Management	3-0-0-3	RM-201
3	RM-303	Brand Management and Advertising	3-0-0-3	RM-203
3	RM-304	Financial Management for Retail	3-0-0-3	RM-102
3	RM-305	Retail Analytics and Data Science	2-0-2-3	RM-205
4	RM-401	Digital Retail Technologies	3-0-0-3	RM-301
4	RM-402	Retail Innovation and Entrepreneurship	3-0-0-3	RM-301
4	RM-403	Sustainable Retail Practices	3-0-0-3	RM-302
4	RM-404	Retail Customer Experience Design	3-0-0-3	RM-202
4	RM-405	International Retail Management	3-0-0-3	RM-301
5	RM-501	Advanced Retail Strategy	3-0-0-3	RM-401
5	RM-502	Global Supply Chain Optimization	3-0-0-3	RM-302
5	RM-503	Retail Risk Management	3-0-0-3	RM-403
5	RM-504	Consumer Insight Analytics	2-0-2-3	RM-305
5	RM-505	Retail Project Management	3-0-0-3	RM-401
6	RM-601	Industry Internship	2-0-0-2	RM-501
6	RM-602	Retail Capstone Project	3-0-0-3	RM-505
7	RM-701	Specialized Elective I	3-0-0-3	RM-602
7	RM-702	Specialized Elective II	3-0-0-3	RM-602
8	RM-801	Retail Thesis/Research	3-0-0-3	RM-701

Detailed Departmental Elective Courses

Advanced departmental electives form a crucial part of the Retail Management program, offering students specialized knowledge and skills in niche areas. These courses are designed to be both rigorous and practical, preparing students for real-world challenges in retail.

Retail Analytics and Data Science (RM-305)

This course delves into the application of statistical methods and machine learning algorithms to analyze consumer data, optimize pricing strategies, and enhance customer segmentation. Students learn to use tools like Python, R, and Tableau for predictive modeling.

Digital Retail Technologies (RM-401)

Exploring emerging technologies such as augmented reality, blockchain, IoT sensors, and AI chatbots in retail contexts, this course provides hands-on experience with digital tools used by leading retailers. Students work on simulations to understand how these technologies can improve operational efficiency.

Retail Customer Experience Design (RM-404)

Focusing on designing seamless customer journeys across multiple touchpoints, this course integrates psychology, design thinking, and user experience principles. Students create mockups for store layouts and online interfaces that enhance customer satisfaction.

Sustainable Retail Practices (RM-303)

This course examines environmental sustainability initiatives in retail, including green supply chains, circular economy models, and ethical sourcing. Students explore case studies of companies implementing sustainable practices and develop their own sustainability strategies.

Retail Innovation and Entrepreneurship (RM-402)

Designed to foster entrepreneurial thinking, this course encourages students to identify market gaps and develop innovative solutions. Through pitch competitions and mentorship from industry experts, students gain practical skills in business development and startup creation.

Consumer Insight Analytics (RM-504)

This advanced course focuses on extracting meaningful insights from large datasets to drive consumer-driven strategies. Students utilize advanced analytics techniques to understand purchasing behavior, loyalty patterns, and brand perception across different demographics.

Retail Risk Management (RM-503)

Examining financial, operational, and reputational risks in retail environments, this course provides frameworks for identifying vulnerabilities and developing mitigation strategies. Real-world case studies from global retailers are used to illustrate risk scenarios and management approaches.

Global Supply Chain Optimization (RM-502)

This course explores the complexities of managing supply chains across multiple countries and cultures. Students learn about cross-border logistics, regulatory compliance, and cultural adaptation strategies necessary for global retail success.

Retail Strategy and Planning (RM-301)

Building on foundational knowledge, this course provides strategic frameworks for developing long-term retail plans. Students engage in simulations to make strategic decisions affecting store locations, product mix, pricing, and promotional strategies.

International Retail Management (RM-405)

Understanding the nuances of international markets, this course examines cultural differences, regulatory environments, and market entry strategies. Students analyze global retail expansions and develop plans for entering new markets.

Project-Based Learning Philosophy

Our program emphasizes project-based learning as a core component of education. This approach encourages students to apply theoretical concepts to real-world problems, fostering deeper understanding and practical skills.

Mini-Projects Structure

Mini-projects are integrated throughout the curriculum, typically lasting 2-4 weeks. Each project is aligned with specific learning outcomes and involves a team of 3-5 students working under faculty guidance. Projects often involve collaboration with industry partners, ensuring relevance and impact.

Final-Year Thesis/Capstone Project

The final-year capstone project represents the culmination of academic learning. Students select topics based on personal interests or industry needs, often resulting in publishable research or innovative solutions. Faculty mentors guide students through the process of literature review, methodology, implementation, and presentation.

Project Selection and Mentorship

Students choose projects from a curated list provided by faculty members or propose their own ideas after consultation with advisors. The selection process ensures alignment with academic rigor and industry relevance. Mentors are assigned based on expertise in the chosen domain, providing personalized support throughout the project lifecycle.