Course Structure Overview
The B.Tech Marketing program is structured over 8 semesters, with each semester containing a mix of core courses, departmental electives, science electives, and lab sessions. The curriculum is designed to progressively build foundational knowledge, introduce specialized concepts, and culminate in comprehensive project-based learning experiences.
Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
---|---|---|---|---|
1 | MG101 | Introduction to Marketing | 3-0-0-3 | - |
1 | MG102 | Business Communication | 3-0-0-3 | - |
1 | MG103 | Quantitative Methods for Business | 3-0-0-3 | - |
1 | MG104 | Introduction to Management | 3-0-0-3 | - |
1 | MG105 | Marketing Lab I | 0-0-2-1 | - |
2 | MG201 | Consumer Behavior | 3-0-0-3 | MG101 |
2 | MG202 | Marketing Research | 3-0-0-3 | MG103 |
2 | MG203 | Principles of Management | 3-0-0-3 | MG104 |
2 | MG204 | Marketing Environment | 3-0-0-3 | - |
2 | MG205 | Marketing Lab II | 0-0-2-1 | MG105 |
3 | MG301 | Digital Marketing Strategy | 3-0-0-3 | MG201, MG202 |
3 | MG302 | Brand Management | 3-0-0-3 | MG201 |
3 | MG303 | Sales Force Management | 3-0-0-3 | MG203 |
3 | MG304 | International Marketing | 3-0-0-3 | MG204 |
3 | MG305 | Marketing Analytics Lab | 0-0-2-1 | MG202 |
4 | MG401 | E-commerce Strategy | 3-0-0-3 | MG301 |
4 | MG402 | Customer Relationship Management | 3-0-0-3 | MG302 |
4 | MG403 | Event Marketing | 3-0-0-3 | MG301 |
4 | MG404 | Marketing Innovation | 3-0-0-3 | - |
4 | MG405 | Marketing Capstone Project | 0-0-6-3 | MG301, MG302 |
5 | MG501 | Data Mining for Marketing | 3-0-0-3 | MG202 |
5 | MG502 | Sustainable Marketing Practices | 3-0-0-3 | - |
5 | MG503 | Marketing in Emerging Markets | 3-0-0-3 | MG304 |
5 | MG504 | Advanced Brand Strategy | 3-0-0-3 | MG302 |
5 | MG505 | Marketing Research Project | 0-0-4-2 | MG202, MG301 |
6 | MG601 | Digital Advertising Platforms | 3-0-0-3 | MG301 |
6 | MG602 | Behavioral Economics in Marketing | 3-0-0-3 | MG201 |
6 | MG603 | Sales Force Optimization | 3-0-0-3 | MG303 |
6 | MG604 | Global Brand Management | 3-0-0-3 | MG302 |
6 | MG605 | Marketing Innovation Lab | 0-0-4-2 | MG501, MG502 |
7 | MG701 | Entrepreneurial Marketing | 3-0-0-3 | - |
7 | MG702 | Marketing Ethics and CSR | 3-0-0-3 | - |
7 | MG703 | Advanced Analytics in Marketing | 3-0-0-3 | MG501 |
7 | MG704 | Strategic Brand Planning | 3-0-0-3 | MG302 |
7 | MG705 | Marketing Capstone Project | 0-0-6-3 | MG405, MG505 |
8 | MG801 | Final Year Thesis | 0-0-6-6 | MG705 |
8 | MG802 | Marketing Internship | 0-0-0-3 | - |
8 | MG803 | Capstone Presentation | 0-0-2-1 | MG705 |
Advanced Departmental Electives
The department offers several advanced elective courses designed to deepen student understanding and prepare them for specialized roles in marketing. These courses are taught by faculty with industry experience and academic excellence.
Digital Advertising Platforms: This course delves into the mechanics of various digital advertising platforms including Google Ads, Meta Ads, Amazon DSP, and LinkedIn Ads. Students learn to optimize campaigns, analyze performance metrics, and understand targeting strategies. The course includes hands-on projects with real-world clients.
Behavioral Economics in Marketing: This elective explores how psychological factors influence consumer decision-making. Students study cognitive biases, heuristics, and nudging techniques used in marketing to shape preferences and behaviors.
Sales Force Optimization: Focused on maximizing sales performance through strategic planning, CRM systems, and team management. The course includes simulations and case studies from leading organizations.
Global Brand Management: Students examine how brands adapt their strategies across different cultures and markets. Topics include brand localization, cultural sensitivity, and international expansion challenges.
Advanced Analytics in Marketing: This course integrates advanced statistical techniques with marketing applications. Students learn to build predictive models, perform segmentation analysis, and use machine learning algorithms for customer insights.
Marketing Ethics and CSR: Addresses ethical considerations in marketing practices and corporate social responsibility initiatives. The course explores regulatory frameworks, sustainability practices, and stakeholder expectations.
Strategic Brand Planning: A comprehensive approach to brand development, including brand architecture, brand equity measurement, and long-term brand strategy formulation.
Entrepreneurial Marketing: Designed for aspiring entrepreneurs, this course focuses on marketing strategies for startups, innovation management, and resource-constrained environments.
Marketing Innovation Lab: Provides an immersive environment where students engage in real-world marketing challenges, working with industry partners to develop innovative solutions.
Data Mining for Marketing: Students learn to extract valuable insights from large datasets using tools like Python and R. The course covers clustering, classification, regression analysis, and association rule mining.
Project-Based Learning Philosophy
The department’s philosophy on project-based learning is rooted in the belief that effective marketing education must be grounded in real-world application. Projects are designed to mirror actual industry challenges, encouraging students to think strategically while working collaboratively.
Mini-projects are integrated into core courses and typically span one semester. These projects involve small teams of students who work under faculty mentorship on specific business problems provided by industry partners. The scope of these projects includes market research, brand strategy development, campaign planning, and performance analysis.
The final-year thesis/capstone project is a significant component of the program. Students select a topic relevant to their specialization or area of interest, conduct extensive research, and present findings to a panel of faculty members and industry experts. This process develops both analytical and communication skills essential for professional success.
Students are encouraged to identify projects aligned with their career goals and interests, often collaborating with faculty mentors who provide guidance throughout the research process. The selection process involves proposal presentations, peer reviews, and mentor assignments to ensure alignment between student aspirations and project feasibility.