Comprehensive Course Structure
The curriculum of the B.Tech in Retail Management at Asbm University Bhubaneswar is structured to provide a balanced mix of foundational knowledge, core competencies, and specialized skills. The program spans 8 semesters over 4 years, with each semester comprising core courses, departmental electives, science electives, and laboratory sessions.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | MAT101 | Mathematics I | 3-1-0-4 | - |
| 1 | PHY101 | Physics I | 3-1-0-4 | - |
| 1 | CHM101 | Chemistry I | 3-1-0-4 | - |
| 1 | CSE101 | Introduction to Computer Science | 2-1-0-3 | - |
| 1 | HSS101 | English for Communication | 2-0-0-2 | - |
| 1 | LIT101 | Introduction to Retail Industry | 2-0-0-2 | - |
| 2 | MAT102 | Mathematics II | 3-1-0-4 | MAT101 |
| 2 | PHY102 | Physics II | 3-1-0-4 | PHY101 |
| 2 | CHM102 | Chemistry II | 3-1-0-4 | CHM101 |
| 2 | CSE102 | Data Structures and Algorithms | 3-1-0-4 | CSE101 |
| 2 | HSS102 | Business Communication | 2-0-0-2 | - |
| 3 | MAT201 | Statistics and Probability | 3-1-0-4 | MAT102 |
| 3 | ECE101 | Electronics Fundamentals | 3-1-0-4 | - |
| 3 | CSE201 | Database Management Systems | 3-1-0-4 | CSE102 |
| 3 | ACC101 | Financial Accounting | 3-0-0-3 | - |
| 3 | BUS101 | Introduction to Business | 2-0-0-2 | - |
| 4 | MAT202 | Linear Algebra and Numerical Methods | 3-1-0-4 | MAT201 |
| 4 | ECE201 | Digital Electronics | 3-1-0-4 | ECE101 |
| 4 | CSE202 | Software Engineering | 3-1-0-4 | CSE201 |
| 4 | MAN101 | Organizational Behavior | 2-0-0-2 | - |
| 4 | MKT101 | Marketing Principles | 2-0-0-2 | - |
| 5 | ECO101 | Microeconomics | 3-0-0-3 | - |
| 5 | CSE301 | Machine Learning | 3-1-0-4 | CSE202 |
| 5 | LOG101 | Supply Chain Management | 2-0-0-2 | - |
| 5 | MKT201 | Consumer Behavior | 2-0-0-2 | MKT101 |
| 5 | BUS201 | Retail Strategy | 2-0-0-2 | BUS101 |
| 6 | ECO201 | Macroeconomics | 3-0-0-3 | ECO101 |
| 6 | CSE302 | Data Analytics for Retail | 3-1-0-4 | CSE301 |
| 6 | LOG201 | Inventory Control | 2-0-0-2 | LOG101 |
| 6 | MKT301 | Digital Marketing | 2-0-0-2 | MKT201 |
| 6 | BUS301 | International Retail | 2-0-0-2 | BUS201 |
| 7 | CSE401 | Capstone Project I | 0-0-6-6 | - |
| 7 | LOG301 | Retail Technology | 2-0-0-2 | LOG201 |
| 7 | MKT401 | Brand Management | 2-0-0-2 | MKT301 |
| 7 | BUS401 | Retail Entrepreneurship | 2-0-0-2 | BUS301 |
| 8 | CSE402 | Capstone Project II | 0-0-6-6 | - |
| 8 | LOG401 | Sustainable Retail | 2-0-0-2 | LOG301 |
| 8 | MKT501 | Retail Analytics | 2-0-0-2 | MKT401 |
| 8 | BUS501 | Global Retail Trends | 2-0-0-2 | BUS401 |
Detailed Elective Course Descriptions
Machine Learning for Retail Analytics: This advanced course introduces students to machine learning techniques specifically tailored for retail applications. Topics include clustering, classification, regression, and neural networks with practical implementation in real-world retail datasets. Students learn how to build predictive models for demand forecasting, customer segmentation, and pricing optimization.
Data Analytics for Retail: Designed to equip students with tools and methodologies for extracting insights from large volumes of retail data. The course covers statistical analysis, data visualization, SQL, Python libraries like Pandas and NumPy, and advanced analytics platforms such as Tableau and Power BI. Students apply these skills through case studies involving actual retail datasets.
Retail Technology: This course explores the latest technological innovations in retail, including automation, robotics, IoT devices, and smart shelves. Students examine how these technologies are transforming store operations, enhancing customer experiences, and improving supply chain efficiency. Practical sessions include simulations of automated inventory systems and AI-powered checkout solutions.
Retail Innovation and Entrepreneurship: Focused on fostering creativity and entrepreneurial thinking in retail environments, this course encourages students to ideate, prototype, and pitch innovative retail concepts. It includes guest lectures from successful entrepreneurs, hands-on workshops, and a capstone project where students develop a business plan for a new retail venture.
Sustainable Retail Practices: This elective delves into sustainable practices in retail operations, including green supply chains, waste reduction, ethical sourcing, and carbon footprint management. Students analyze case studies of companies implementing sustainability initiatives and propose solutions for their own retail ventures.
Retail Customer Experience Design: Emphasizing the importance of customer-centric design, this course teaches students how to map customer journeys, identify pain points, and create seamless shopping experiences across multiple channels. Tools like journey mapping, persona development, and usability testing are explored through practical exercises and real-world projects.
Global Retail Management: Provides an international perspective on retail operations, examining cultural differences in consumer behavior, regulatory frameworks, and market entry strategies. Students study global case studies from diverse markets and learn how to adapt retail strategies for different contexts.
Retail Financial Analysis: This course equips students with financial literacy specific to the retail industry. Topics include financial statement analysis, cost-volume-profit analysis, ROI calculations, performance metrics, and investment evaluation techniques used in retail decision-making.
Retail Brand Strategy: Focuses on brand development, positioning, and marketing communication strategies within the retail context. Students learn how to craft compelling brand narratives, conduct market research, and develop integrated marketing campaigns that resonate with target audiences.
Consumer Psychology in Retail: Explores the psychological factors influencing consumer decision-making processes in retail environments. The course covers cognitive biases, emotional triggers, social influence, and behavioral economics principles applied to retail strategy and customer engagement.
Project-Based Learning Framework
The department places a strong emphasis on project-based learning, recognizing that real-world application is essential for developing competent professionals. Mini-projects are introduced from the second year onwards, allowing students to apply theoretical concepts in practical settings.
Mini-projects typically span 4–6 weeks and involve small groups of 3–5 students working under faculty supervision. These projects often address current challenges faced by retail businesses, such as optimizing store layouts, designing loyalty programs, or analyzing sales data trends. Students are required to present their findings to industry experts and receive feedback on their methodology and outcomes.
The final-year thesis/capstone project is a significant component of the program, spanning 12 weeks and involving an in-depth investigation of a relevant retail topic. Students select their projects based on personal interest, faculty expertise, or industry needs, often collaborating with companies for real-world data access and mentorship.
Project selection involves a proposal submission process where students must demonstrate feasibility, relevance, and potential impact. Faculty mentors guide the research process, ensuring that projects meet academic standards while aligning with industry expectations. Evaluation criteria include originality, methodology, presentation quality, and contribution to retail knowledge or practice.