Collegese

Welcome to Collegese! Sign in →

Collegese
  • Colleges
  • Courses
  • Exams
  • Scholarships
  • Blog

Search colleges and courses

Search and navigate to colleges and courses

Start your journey

Ready to find your dream college?

Join thousands of students making smarter education decisions.

Watch How It WorksGet Started

Discover

Browse & filter colleges

Compare

Side-by-side analysis

Explore

Detailed course info

Collegese

India's education marketplace helping students discover the right colleges, compare courses, and build careers they deserve.

© 2026 Collegese. All rights reserved. A product of Nxthub Consulting Pvt. Ltd.

Apply

Scholarships & exams

support@collegese.com
+91 88943 57155
Pune, Maharashtra, India

Duration

4 Years

Retail Management

Asbm University Bhubaneswar
Duration
4 Years
Retail Management UG OFFLINE

Duration

4 Years

Retail Management

Asbm University Bhubaneswar
Duration
Apply

Fees

₹5,00,000

Placement

93.0%

Avg Package

₹4,50,000

Highest Package

₹8,50,000

OverviewAdmissionsCurriculumFeesPlacements
4 Years
Retail Management
UG
OFFLINE

Fees

₹5,00,000

Placement

93.0%

Avg Package

₹4,50,000

Highest Package

₹8,50,000

Seats

120

Students

120

ApplyCollege

Seats

120

Students

120

Curriculum

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.

SemesterCourse CodeCourse TitleCredit Structure (L-T-P-C)Prerequisites
1MAT101Mathematics I3-1-0-4-
1PHY101Physics I3-1-0-4-
1CHM101Chemistry I3-1-0-4-
1CSE101Introduction to Computer Science2-1-0-3-
1HSS101English for Communication2-0-0-2-
1LIT101Introduction to Retail Industry2-0-0-2-
2MAT102Mathematics II3-1-0-4MAT101
2PHY102Physics II3-1-0-4PHY101
2CHM102Chemistry II3-1-0-4CHM101
2CSE102Data Structures and Algorithms3-1-0-4CSE101
2HSS102Business Communication2-0-0-2-
3MAT201Statistics and Probability3-1-0-4MAT102
3ECE101Electronics Fundamentals3-1-0-4-
3CSE201Database Management Systems3-1-0-4CSE102
3ACC101Financial Accounting3-0-0-3-
3BUS101Introduction to Business2-0-0-2-
4MAT202Linear Algebra and Numerical Methods3-1-0-4MAT201
4ECE201Digital Electronics3-1-0-4ECE101
4CSE202Software Engineering3-1-0-4CSE201
4MAN101Organizational Behavior2-0-0-2-
4MKT101Marketing Principles2-0-0-2-
5ECO101Microeconomics3-0-0-3-
5CSE301Machine Learning3-1-0-4CSE202
5LOG101Supply Chain Management2-0-0-2-
5MKT201Consumer Behavior2-0-0-2MKT101
5BUS201Retail Strategy2-0-0-2BUS101
6ECO201Macroeconomics3-0-0-3ECO101
6CSE302Data Analytics for Retail3-1-0-4CSE301
6LOG201Inventory Control2-0-0-2LOG101
6MKT301Digital Marketing2-0-0-2MKT201
6BUS301International Retail2-0-0-2BUS201
7CSE401Capstone Project I0-0-6-6-
7LOG301Retail Technology2-0-0-2LOG201
7MKT401Brand Management2-0-0-2MKT301
7BUS401Retail Entrepreneurship2-0-0-2BUS301
8CSE402Capstone Project II0-0-6-6-
8LOG401Sustainable Retail2-0-0-2LOG301
8MKT501Retail Analytics2-0-0-2MKT401
8BUS501Global Retail Trends2-0-0-2BUS401

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.