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Fees
₹4,80,000
Placement
96.5%
Avg Package
₹8,00,000
Highest Package
₹15,00,000
Fees
₹4,80,000
Placement
96.5%
Avg Package
₹8,00,000
Highest Package
₹15,00,000
Seats
120
Students
1,200
Seats
120
Students
1,200
The curriculum for the Digital Marketing program at INDORE INTERNATIONAL COLLEGE is meticulously structured to provide students with a robust foundation in both theoretical concepts and practical applications. The program spans eight semesters, offering a balanced mix of core courses, departmental electives, science electives, and laboratory sessions designed to foster critical thinking and innovation.
The curriculum is divided into several categories:
The following table presents a detailed list of all courses offered across the eight semesters:
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | DM-101 | Introduction to Digital Marketing | 3-0-0-3 | - |
| 1 | DM-102 | Business Communication Skills | 2-0-0-2 | - |
| 1 | DM-103 | Web Technologies and Design | 3-0-0-3 | - |
| 1 | DM-104 | Introduction to Data Analytics | 2-0-0-2 | - |
| 1 | DM-105 | Business Mathematics and Statistics | 3-0-0-3 | - |
| 1 | DM-106 | Computer Programming Fundamentals | 3-0-0-3 | - |
| 2 | DM-201 | Digital Marketing Strategy | 3-0-0-3 | DM-101 |
| 2 | DM-202 | Social Media Marketing | 2-0-0-2 | DM-101 |
| 2 | DM-203 | E-commerce Fundamentals | 3-0-0-3 | DM-101 |
| 2 | DM-204 | Content Strategy and Copywriting | 2-0-0-2 | DM-102 |
| 2 | DM-205 | Digital Advertising and PPC | 3-0-0-3 | DM-201 |
| 2 | DM-206 | Customer Relationship Management | 2-0-0-2 | DM-101 |
| 3 | DM-301 | Search Engine Optimization (SEO) | 3-0-0-3 | DM-201 |
| 3 | DM-302 | Advanced Data Analytics for Marketing | 3-0-0-3 | DM-104 |
| 3 | DM-303 | Brand Management and Identity | 2-0-0-2 | DM-201 |
| 3 | DM-304 | Digital Marketing Research Methods | 2-0-0-2 | DM-205 |
| 3 | DM-305 | Mobile Marketing and App Store Optimization | 2-0-0-2 | DM-201 |
| 3 | DM-306 | Marketing Automation Tools | 2-0-0-2 | DM-205 |
| 4 | DM-401 | AI and Machine Learning in Marketing | 3-0-0-3 | DM-302 |
| 4 | DM-402 | International Digital Marketing | 2-0-0-2 | DM-301 |
| 4 | DM-403 | Marketing Analytics and Reporting | 3-0-0-3 | DM-302 |
| 4 | DM-404 | Product Launch Strategy | 2-0-0-2 | DM-303 |
| 4 | DM-405 | Digital Marketing Ethics and Governance | 2-0-0-2 | DM-301 |
| 4 | DM-406 | Capstone Project I | 3-0-0-3 | DM-301 |
| 5 | DM-501 | Digital Marketing Innovation | 2-0-0-2 | DM-406 |
| 5 | DM-502 | Marketing Campaign Management | 3-0-0-3 | DM-406 |
| 5 | DM-503 | Digital Branding and Storytelling | 2-0-0-2 | DM-401 |
| 5 | DM-504 | Global Marketing Strategy | 3-0-0-3 | DM-402 |
| 5 | DM-505 | Marketing Technology and Tools | 3-0-0-3 | DM-401 |
| 5 | DM-506 | Capstone Project II | 3-0-0-3 | DM-501 |
| 6 | DM-601 | Digital Marketing Capstone | 3-0-0-3 | DM-506 |
| 6 | DM-602 | Leadership in Digital Marketing | 2-0-0-2 | DM-501 |
| 6 | DM-603 | Research Methodology and Ethics | 2-0-0-2 | DM-405 |
| 6 | DM-604 | Advanced Data Visualization | 2-0-0-2 | DM-302 |
| 6 | DM-605 | Marketing Case Studies | 2-0-0-2 | DM-401 |
| 7 | DM-701 | Internship Preparation and Industry Exposure | 3-0-0-3 | - |
| 7 | DM-702 | Capstone Research Paper | 3-0-0-3 | DM-601 |
| 8 | DM-801 | Final Project and Thesis | 4-0-0-4 | DM-702 |
The department offers a rich selection of advanced elective courses that allow students to explore specialized areas within digital marketing. These courses are designed to be both challenging and relevant, providing students with cutting-edge knowledge and skills needed in today's rapidly evolving industry.
This course focuses on improving website visibility through organic search rankings. Students learn to utilize tools like Google Search Console, Ahrefs, and Screaming Frog to conduct comprehensive SEO audits, identify optimization opportunities, and implement effective strategies for local and international markets.
This elective delves into the application of advanced statistical methods and machine learning algorithms in marketing contexts. Students gain proficiency in Python, R, SQL, and Tableau to analyze large datasets, predict consumer behavior, and build data-driven marketing models that optimize campaign performance.
This course explores the strategic development and maintenance of brand identity. Students study brand architecture, visual identity design, brand storytelling, and brand positioning techniques used by global leaders to create lasting consumer connections and differentiate their offerings in competitive markets.
Designed for students interested in research-oriented careers, this course teaches quantitative and qualitative methods for conducting marketing research. Topics include survey design, focus group methodology, A/B testing, experimental design, and statistical analysis of marketing data to support decision-making.
This course examines mobile-first marketing strategies, including app store optimization (ASO), SMS marketing, push notification campaigns, and in-app advertising. Students learn to leverage mobile-specific features to enhance user engagement and drive conversions across various mobile platforms.
Students explore the integration of marketing automation platforms such as HubSpot, Marketo, and Pardot. The course covers lead nurturing workflows, personalized email campaigns, CRM integrations, and analytics dashboards that streamline marketing operations and improve customer experience.
This advanced course introduces students to the application of artificial intelligence and machine learning in marketing. Topics include predictive modeling, recommendation systems, chatbots, natural language processing, and automated content creation tools that enable marketers to scale their efforts efficiently.
This course addresses global digital marketing challenges, focusing on cultural nuances, cross-border campaigns, localization strategies, and international SEO practices. Students gain insights into managing multi-regional marketing efforts while respecting local regulations and consumer preferences.
This elective emphasizes the importance of data-driven decision-making in marketing. Students learn to create comprehensive analytics reports, interpret performance metrics, build dashboards, and present findings to stakeholders using tools like Google Data Studio, Power BI, and Excel.
This course focuses on the end-to-end process of launching new products or services in digital environments. Students study pre-launch planning, launch timing, integrated marketing communications, influencer partnerships, and post-launch evaluation techniques to ensure successful market entry.
This course examines ethical considerations in digital marketing, including privacy laws (GDPR, CCPA), transparency in advertising, responsible data usage, and corporate social responsibility. Students learn to navigate regulatory landscapes while maintaining brand integrity and consumer trust.
The department's philosophy on project-based learning is centered around fostering innovation, creativity, and real-world problem-solving capabilities. Projects are designed to simulate actual industry scenarios, allowing students to apply theoretical knowledge in practical contexts while developing critical thinking skills.
The structure of the project-based learning framework includes:
The scope and evaluation criteria for these projects are as follows:
Students select their projects in consultation with faculty mentors, ensuring alignment with personal interests and career goals. The mentorship system provides guidance, resources, and networking opportunities that enhance the learning experience.