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Fees
₹12,00,000
Placement
92.0%
Avg Package
₹4,50,000
Highest Package
₹9,00,000
Fees
₹12,00,000
Placement
92.0%
Avg Package
₹4,50,000
Highest Package
₹9,00,000
Seats
250
Students
300
Seats
250
Students
300
The curriculum for the B.Tech in Digital Marketing at MAHARISHI CENTRE FOR EDUCATIONAL EXCELLENCE is designed to provide a robust academic foundation while fostering innovation and practical application. The program spans eight semesters, with each semester offering a balanced mix of core courses, departmental electives, science electives, and laboratory sessions.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Pre-requisites |
|---|---|---|---|---|
| 1 | DM101 | Introduction to Digital Marketing | 3-0-0-3 | - |
| 1 | DM102 | Business Fundamentals | 3-0-0-3 | - |
| 1 | DM103 | Communication Skills | 2-0-0-2 | - |
| 1 | DM104 | Mathematics for Digital Marketing | 4-0-0-4 | - |
| 1 | DM105 | Web Technologies Fundamentals | 3-0-0-3 | - |
| 2 | DM201 | Digital Analytics & Data Interpretation | 3-0-0-3 | DM104 |
| 2 | DM202 | Search Engine Optimization (SEO) | 3-0-0-3 | - |
| 2 | DM203 | Social Media Strategy & Management | 3-0-0-3 | - |
| 2 | DM204 | Content Creation & Storytelling | 2-0-0-2 | - |
| 2 | DM205 | Web Design Principles | 3-0-0-3 | DM105 |
| 3 | DM301 | Data Visualization & Reporting | 3-0-0-3 | DM201 |
| 3 | DM302 | Digital Advertising Platforms | 3-0-0-3 | - |
| 3 | DM303 | Customer Behavior Analysis | 3-0-0-3 | DM201 |
| 3 | DM304 | Brand Management & Positioning | 3-0-0-3 | - |
| 3 | DM305 | Marketing Research Methods | 3-0-0-3 | DM201 |
| 4 | DM401 | E-commerce Strategy & Optimization | 3-0-0-3 | DM301 |
| 4 | DM402 | Conversion Rate Optimization | 3-0-0-3 | DM301 |
| 4 | DM403 | Digital Product Marketing | 3-0-0-3 | - |
| 4 | DM404 | Advanced Web Analytics | 3-0-0-3 | DM201 |
| 4 | DM405 | Mobile Marketing Strategy | 3-0-0-3 | - |
| 5 | DM501 | Marketing Automation & AI | 3-0-0-3 | DM401 |
| 5 | DM502 | Creative Digital Storytelling | 3-0-0-3 | - |
| 5 | DM503 | Digital Brand Experience Design | 3-0-0-3 | - |
| 5 | DM504 | Social Media Innovation | 3-0-0-3 | - |
| 5 | DM505 | Marketing Data Science | 3-0-0-3 | DM201 |
| 6 | DM601 | Digital Marketing Capstone Project I | 4-0-0-4 | - |
| 6 | DM602 | Advanced PPC Campaigns | 3-0-0-3 | - |
| 6 | DM603 | International Digital Marketing | 3-0-0-3 | - |
| 6 | DM604 | Digital Ethics & Compliance | 2-0-0-2 | - |
| 6 | DM605 | Entrepreneurial Marketing | 3-0-0-3 | - |
| 7 | DM701 | Digital Marketing Capstone Project II | 4-0-0-4 | - |
| 7 | DM702 | Advanced Brand Strategy | 3-0-0-3 | - |
| 7 | DM703 | Global Digital Trends & Forecasting | 3-0-0-3 | - |
| 7 | DM704 | Digital Marketing Leadership | 3-0-0-3 | - |
| 7 | DM705 | Capstone Project Lab | 2-0-0-2 | - |
| 8 | DM801 | Final Year Thesis / Capstone | 6-0-0-6 | - |
| 8 | DM802 | Industry Internship | 3-0-0-3 | - |
| 8 | DM803 | Digital Marketing Portfolio Development | 2-0-0-2 | - |
| 8 | DM804 | Capstone Presentation & Defense | 2-0-0-2 | - |
The following are descriptions of advanced departmental elective courses offered in the program:
This course equips students with skills in transforming raw data into visual formats that aid decision-making. Students learn to use tools like Tableau, Power BI, and Python libraries for creating interactive dashboards and reports.
Students explore platforms such as Google Ads, Facebook Ads, LinkedIn Ads, and TikTok Ads. The course covers targeting strategies, budget management, ad copywriting, and performance tracking.
This course delves into understanding consumer psychology through behavioral data analysis. Students learn to segment customers using clustering algorithms and predict future behavior patterns.
Focused on designing immersive brand experiences across digital touchpoints, this course integrates user experience design principles with branding strategies.
This course builds upon basic analytics knowledge by introducing advanced concepts like attribution modeling, funnel analysis, and predictive analytics for web performance.
Students learn how to market tech products effectively, focusing on user-centric approaches, product positioning, and go-to-market strategies in digital environments.
This course introduces data science techniques specifically applied to marketing. Topics include machine learning models for customer segmentation, recommendation systems, and churn prediction.
With mobile usage surpassing desktop, this course explores strategies for engaging users on mobile devices, including app store optimization, SMS marketing, and push notifications.
This course covers emerging trends in social media platforms, influencer collaborations, community building, and viral content creation strategies.
Students work on real-world marketing challenges with industry clients. These projects allow them to apply theoretical knowledge to practical scenarios under expert mentorship.
The program emphasizes project-based learning as a core component of the educational experience. Projects are assigned at both the mini-project and capstone levels, each designed to reinforce specific competencies while encouraging creativity and innovation.
Mini-projects are typically completed in groups over 4-6 weeks and involve applying newly acquired skills to small-scale problems. These projects often mirror real-world scenarios, such as designing a campaign for a local business or analyzing social media engagement metrics.
The final-year capstone project is an extended endeavor that spans several months. Students select a topic aligned with their interests and career goals, develop a comprehensive strategy, and present findings to industry experts and faculty members.
Faculty mentors are carefully selected based on expertise in the relevant domain, ensuring students receive guidance tailored to their specific needs. The evaluation criteria include innovation, technical execution, impact assessment, and presentation quality.
