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Duration

4 Years

Retail Management

Matrix Skilltech University Geyzing
Duration
4 Years
Retail Management UG OFFLINE

Duration

4 Years

Retail Management

Matrix Skilltech University Geyzing
Duration
Apply

Fees

₹1,50,000

Placement

92.0%

Avg Package

₹4,50,000

Highest Package

₹8,00,000

OverviewAdmissionsCurriculumFeesPlacements
4 Years
Retail Management
UG
OFFLINE

Fees

₹1,50,000

Placement

92.0%

Avg Package

₹4,50,000

Highest Package

₹8,00,000

Seats

300

Students

300

ApplyCollege

Seats

300

Students

300

Curriculum

Comprehensive Course Structure

The Retail Management program at Matrix Skilltech University Geyzing is meticulously structured to provide a well-rounded education that balances theoretical knowledge with practical application. The curriculum spans eight semesters, with each semester comprising core courses, departmental electives, science electives, and laboratory components.

SemesterCourse CodeCourse TitleCredit Structure (L-T-P-C)Prerequisites
1RMT101Introduction to Retail Management3-0-0-3-
1RMT102Business Fundamentals3-0-0-3-
1RMT103Consumer Psychology3-0-0-3-
1RMT104Mathematics for Business3-0-0-3-
1RMT105Introduction to Marketing3-0-0-3-
1RMT106Lab: Consumer Behavior Observation0-0-3-1-
2RMT201Business Economics3-0-0-3RMT102
2RMT202Financial Accounting3-0-0-3RMT102
2RMT203Operations Management3-0-0-3RMT102
2RMT204Retail Merchandising3-0-0-3RMT105
2RMT205Organizational Behavior3-0-0-3-
2RMT206Lab: Inventory Management Simulation0-0-3-1RMT201
3RMT301E-Commerce Strategy3-0-0-3RMT204
3RMT302Retail Technology & Innovation3-0-0-3RMT201
3RMT303Retail Analytics3-0-0-3RMT104
3RMT304Supply Chain Management3-0-0-3RMT203
3RMT305Sustainable Retail Practices3-0-0-3RMT102
3RMT306Lab: Retail Analytics with R0-0-3-1RMT303
4RMT401Digital Marketing in Retail3-0-0-3RMT205
4RMT402Consumer Data Science3-0-0-3RMT303
4RMT403Retail Brand Management3-0-0-3RMT205
4RMT404International Retail Expansion3-0-0-3RMT301
4RMT405Retail Finance & Investment3-0-0-3RMT202
4RMT406Lab: Customer Experience Design0-0-3-1RMT401
5RMT501Retail Innovation Lab3-0-0-3RMT302, RMT402
5RMT502Advanced Retail Analytics3-0-0-3RMT303
5RMT503Strategic Retail Management3-0-0-3RMT403
5RMT504Retail Entrepreneurship3-0-0-3RMT401
5RMT505Retail Research Methods3-0-0-3RMT402
5RMT506Lab: Capstone Project Planning0-0-3-1RMT501
6RMT601Capstone Project I3-0-0-3RMT501
6RMT602Retail Consulting Project3-0-0-3RMT501
6RMT603Retail Policy & Ethics3-0-0-3RMT403
6RMT604Advanced Retail Technology3-0-0-3RMT302
6RMT605Industry Internship3-0-0-3-
6RMT606Lab: Final Capstone Implementation0-0-3-1RMT601
7RMT701Capstone Project II3-0-0-3RMT601
7RMT702Retail Case Studies3-0-0-3RMT601
7RMT703Retail Innovation Workshop3-0-0-3RMT501
7RMT704Global Retail Trends3-0-0-3RMT404
7RMT705Research Thesis Preparation3-0-0-3RMT505
7RMT706Lab: Thesis Development0-0-3-1RMT705
8RMT801Research Thesis3-0-0-3RMT705
8RMT802Final Presentation & Defense3-0-0-3RMT801
8RMT803Retail Industry Report3-0-0-3RMT702
8RMT804Capstone Portfolio Development3-0-0-3RMT601
8RMT805Final Capstone Implementation3-0-0-3RMT801
8RMT806Lab: Final Capstone Presentation0-0-3-1RMT801

Advanced Departmental Electives

Advanced departmental electives in the Retail Management program are designed to deepen students' understanding of specialized areas within the field. These courses are typically offered in the later semesters and include both theoretical components and practical applications.

Retail Analytics & Data Science: This course introduces students to advanced statistical methods, machine learning algorithms, and data visualization tools used in retail environments. Students learn how to build predictive models for demand forecasting, customer segmentation, and pricing optimization using platforms like Python, R, SQL, Tableau, and Power BI.

Digital Marketing in Retail: This course explores the integration of digital channels into retail strategies, including social media marketing, email campaigns, search engine optimization (SEO), and content marketing. Students gain hands-on experience with tools such as Google Analytics, Facebook Ads Manager, Hootsuite, and HubSpot.

Retail Technology & Innovation: This course focuses on emerging technologies that are transforming retail operations, including IoT sensors, RFID tracking, augmented reality (AR), virtual reality (VR), blockchain for supply chain transparency, and artificial intelligence (AI) applications in customer service and inventory management.

Consumer Data Science: Students learn how to collect, process, analyze, and interpret large volumes of consumer data to inform strategic business decisions. The course covers topics such as behavioral economics, psychographics, sentiment analysis, and real-time personalization engines.

Sustainable Retail Practices: This course addresses the environmental and social impacts of retail operations and explores strategies for reducing waste, improving energy efficiency, sourcing ethically, and promoting circular economy principles in retail environments.

Retail Brand Management: This course examines the development, maintenance, and evolution of brand identity within retail contexts. Students study brand architecture, brand equity, co-branding strategies, and brand extension decisions through case studies and interactive exercises.

International Retail Expansion: This course analyzes the challenges and opportunities involved in expanding retail operations into new geographic markets. Topics include cultural adaptation, legal frameworks, supply chain logistics, and risk management strategies for global expansion.

Retail Finance & Investment: This course provides an overview of financial analysis techniques specific to the retail industry, including valuation models, capital structure decisions, merger and acquisition activities, and investment strategies tailored to retail businesses.

Retail Entrepreneurship: Designed for students interested in starting their own ventures, this course covers business planning, funding sources, market validation, product development, and scaling strategies within the retail sector. Guest speakers from successful retail startups provide real-world insights.

Supply Chain Management: This course explores the complexities of managing supply chains across multiple stakeholders, including suppliers, manufacturers, distributors, and retailers. Students learn about inventory optimization, logistics planning, supplier relationship management, and performance measurement systems.

Retail Innovation Lab: A hands-on laboratory experience where students collaborate with industry partners to solve real-world problems in retail innovation. Projects may include designing new store formats, developing mobile applications, or implementing emerging technologies in retail environments.

Retail Policy & Ethics: This course addresses the ethical considerations and regulatory frameworks that govern retail operations, including fair labor practices, consumer protection laws, data privacy regulations, and corporate social responsibility initiatives.

Global Retail Trends: Students examine current trends shaping the global retail landscape, including e-commerce growth, omnichannel strategies, sustainability movements, and consumer behavior shifts driven by technology and demographic changes.

Retail Case Studies: Through in-depth analysis of real-world retail cases, students develop critical thinking skills and learn how to apply theoretical concepts to complex business situations. Each case study involves group presentations and class discussions led by industry experts.

Project-Based Learning Approach

The Retail Management program at Matrix Skilltech University Geyzing places a strong emphasis on project-based learning as a means of fostering critical thinking, collaboration, and real-world application of academic concepts. The curriculum includes both mandatory mini-projects and a final-year thesis/capstone project that allows students to explore topics of personal interest while contributing to the broader field of retail management.

Mini-projects are integrated into various courses throughout the program and typically involve small teams of 3-5 students working under faculty supervision. These projects aim to reinforce learning objectives through practical application, often requiring students to conduct market research, analyze data, design solutions, or develop prototypes. For example, in the Retail Analytics course, students might be tasked with analyzing sales data from a local retailer to identify seasonal trends and recommend inventory adjustments.

The final-year capstone project is a comprehensive endeavor that spans multiple semesters and requires students to apply all the knowledge and skills they have acquired during their undergraduate studies. Students work closely with faculty mentors and industry partners to select a relevant topic, conduct independent research, and produce a substantial deliverable such as a business plan, strategic report, or innovation proposal.

The capstone project process begins in the fifth semester when students begin exploring potential topics and identifying suitable faculty advisors. By the sixth semester, students have finalized their projects and started gathering data, conducting literature reviews, and developing methodologies. The final presentation occurs in the eighth semester, where students defend their work before a panel of faculty members and industry professionals.

Throughout the project lifecycle, students receive regular feedback from mentors and peers, ensuring that they stay on track and meet quality standards. This iterative process encourages continuous improvement and helps students develop professional communication and presentation skills essential for success in their future careers.