Comprehensive Course Structure
The Retail Management program is structured over 8 semesters, with each semester comprising core subjects, departmental electives, science electives, and laboratory sessions. The following table outlines the complete course structure:
| Semester | Course Code | Course Title | Credits (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | RM-101 | Introduction to Retail Management | 3-0-0-3 | - |
| 1 | RM-102 | Business Fundamentals | 3-0-0-3 | - |
| 1 | RM-103 | Consumer Behavior | 3-0-0-3 | - |
| 1 | RM-104 | Mathematics for Business | 3-0-0-3 | - |
| 1 | RM-105 | Introduction to Data Analytics | 2-0-2-2 | - |
| 1 | RM-106 | English for Business Communication | 2-0-0-2 | - |
| 2 | RM-201 | Retail Strategy and Planning | 3-0-0-3 | RM-101, RM-102 |
| 2 | RM-202 | Supply Chain Management | 3-0-0-3 | RM-102 |
| 2 | RM-203 | Financial Accounting | 3-0-0-3 | - |
| 2 | RM-204 | Data Visualization and Tools | 2-0-2-2 | RM-105 |
| 2 | RM-205 | Organizational Behavior | 3-0-0-3 | - |
| 2 | RM-206 | Marketing Principles | 3-0-0-3 | - |
| 3 | RM-301 | Retail Analytics and Forecasting | 3-0-0-3 | RM-204 |
| 3 | RM-302 | E-commerce Platforms and Technologies | 3-0-0-3 | RM-105 |
| 3 | RM-303 | Digital Marketing in Retail | 3-0-0-3 | RM-206 |
| 3 | RM-304 | Consumer Psychology and Insights | 3-0-0-3 | RM-103 |
| 3 | RM-305 | Operations Management | 3-0-0-3 | RM-202 |
| 3 | RM-306 | Retail Data Science with Python | 2-0-2-2 | RM-204 |
| 4 | RM-401 | Sustainable Retail Practices | 3-0-0-3 | RM-301, RM-305 |
| 4 | RM-402 | Retail Innovation and Entrepreneurship | 3-0-0-3 | - |
| 4 | RM-403 | Global Retail Strategy | 3-0-0-3 | RM-201 |
| 4 | RM-404 | Retail Branding and Communication | 3-0-0-3 | RM-206 |
| 4 | RM-405 | Behavioral Economics in Retail | 3-0-0-3 | - |
| 4 | RM-406 | Internship and Project Development | 2-0-0-2 | - |
| 5 | RM-501 | Advanced Retail Analytics | 3-0-0-3 | RM-301, RM-306 |
| 5 | RM-502 | Retail Data Science with R | 2-0-2-2 | RM-306 |
| 5 | RM-503 | Customer Experience Design | 3-0-0-3 | RM-304 |
| 5 | RM-504 | AI and Machine Learning in Retail | 3-0-0-3 | RM-204, RM-301 |
| 5 | RM-505 | Retail Strategy Consulting | 3-0-0-3 | - |
| 5 | RM-506 | Industry Research Project | 2-0-0-2 | - |
| 6 | RM-601 | Retail Business Innovation Lab | 3-0-0-3 | RM-504, RM-505 |
| 6 | RM-602 | Global Retail Case Studies | 3-0-0-3 | - |
| 6 | RM-603 | Retail Ethics and Corporate Social Responsibility | 3-0-0-3 | - |
| 6 | RM-604 | Capstone Project | 2-0-0-2 | - |
| 6 | RM-605 | Final Year Thesis | 3-0-0-3 | - |
| 7 | RM-701 | Advanced Retail Technologies | 3-0-0-3 | RM-604 |
| 7 | RM-702 | Retail Innovation Workshop | 2-0-2-2 | - |
| 7 | RM-703 | Leadership in Retail | 3-0-0-3 | - |
| 7 | RM-704 | Research Methods in Retail Management | 2-0-0-2 | - |
| 8 | RM-801 | Retail Consulting Internship | 2-0-0-2 | - |
| 8 | RM-802 | Capstone Project Presentation | 2-0-0-2 | - |
Detailed Course Descriptions
The following are descriptions of advanced departmental elective courses offered in the Retail Management program:
Retail Analytics and Forecasting
This course delves into statistical models used for predicting consumer demand, optimizing pricing strategies, and enhancing retail performance. Students learn to use forecasting tools such as ARIMA, exponential smoothing, and machine learning algorithms to generate actionable insights.
E-commerce Platforms and Technologies
Students explore the architecture of major e-commerce platforms, including user interface design, backend infrastructure, payment gateways, and mobile commerce solutions. The course also covers emerging trends like voice shopping, social commerce, and virtual try-on technologies.
Digital Marketing in Retail
This course focuses on leveraging digital channels such as social media, email marketing, SEO, and PPC advertising to drive customer acquisition and retention in retail environments. Students learn to create integrated campaigns that align with brand values and consumer preferences.
Consumer Psychology and Insights
Examining the cognitive and emotional drivers behind purchasing decisions, this course introduces students to behavioral theories and psychological frameworks that influence retail behavior. Practical applications include customer segmentation, loyalty program design, and brand positioning.
Operations Management
This course provides a comprehensive overview of operational processes in retail, including warehouse management, logistics, inventory control, and performance metrics. Students gain hands-on experience through simulations and case studies involving leading retailers.
Retail Data Science with Python
Utilizing Python libraries such as pandas, NumPy, scikit-learn, and matplotlib, students learn to extract meaningful patterns from large datasets and build predictive models for retail applications. The course emphasizes practical implementation and real-world problem-solving.
Sustainable Retail Practices
Focusing on environmental sustainability and ethical consumption, this course explores how retailers can reduce their carbon footprint while maintaining profitability. Topics include green supply chains, circular economy principles, and eco-friendly packaging solutions.
Retail Innovation and Entrepreneurship
This elective encourages creative thinking and innovation in retail by introducing students to design thinking methodologies, ideation workshops, and startup incubation processes. Students develop business models for new retail ventures and pitch them to industry experts.
Global Retail Strategy
Students analyze the complexities of operating a retail business across different cultural, regulatory, and economic environments. The course includes comparative case studies from global markets and explores strategies for entering international territories effectively.
Retail Branding and Communication
This course examines how branding shapes consumer perception and drives loyalty in competitive retail markets. Students learn to craft compelling brand narratives and execute effective communication campaigns across various touchpoints.
Project-Based Learning Framework
Our department believes that learning is most effective when it is experiential. Project-based learning forms a core component of the Retail Management curriculum, with students engaging in both mini-projects and final-year capstone initiatives. The structure involves selecting a relevant business problem, conducting research, developing a solution, and presenting findings to faculty and industry mentors.
Mini-projects are typically completed during the third and fourth years, focusing on specific aspects such as market analysis, pricing strategy, or customer segmentation. Final-year capstone projects involve working closely with industry partners, where students propose innovative solutions to real-world retail challenges. These projects often result in patents, published papers, or successful business ventures.
Evaluation criteria include project proposal quality, methodology rigor, data interpretation, presentation skills, and impact potential. Faculty mentors are selected based on their expertise in the relevant domain, ensuring that students receive guidance tailored to their specific interests and career goals.