Course Structure Overview

The curriculum for the Innovation Management program is designed to provide students with a comprehensive understanding of innovation principles, methodologies, and practical applications. The program spans eight semesters, with each semester structured to build upon previous knowledge while introducing new concepts and skills.

Semester	Course Code	Course Title	Credit (L-T-P-C)	Prerequisites
Semester I	IM-101	Introduction to Innovation Management	3-0-0-3	-
	IM-102	Mathematics for Innovation	4-0-0-4	-
	IM-103	Engineering Drawing & Design	2-0-2-4	-
	IM-104	Basics of Programming	2-0-2-4	-
	IM-105	Business Communication Skills	2-0-0-2	-
	IM-106	Introduction to Design Thinking	3-0-0-3	-
	IM-107	Environmental Science & Sustainability	3-0-0-3	-
	IM-108	Workshop in Innovation Tools	0-0-2-2	-
	IM-109	Science Elective I	3-0-0-3	-
	IM-110	Science Elective II	3-0-0-3	-
	IM-111	Introduction to Innovation Lab	0-0-2-2	-
	IM-112	Entrepreneurship Fundamentals	2-0-0-2	-
Semester II	IM-201	Innovation Processes & Models	3-0-0-3	IM-101
	IM-202	Statistics for Innovation	3-0-0-3	IM-102
	IM-203	Engineering Materials & Processes	3-0-0-3	-
	IM-204	Computer Programming II	2-0-2-4	IM-104
	IM-205	Business Ethics & CSR	3-0-0-3	-
	IM-206	Project Management Fundamentals	3-0-0-3	-
	IM-207	Human Factors in Innovation	3-0-0-3	-
	IM-208	Workshop in Prototyping Tools	0-0-2-2	-
	IM-209	Science Elective III	3-0-0-3	-
	IM-210	Science Elective IV	3-0-0-3	-
	IM-211	Innovation Lab II	0-0-2-2	IM-111
	IM-212	Leadership & Team Dynamics	2-0-0-2	-
Semester III	IM-301	Strategic Innovation Management	3-0-0-3	IM-201
	IM-302	Data Analysis for Innovation	3-0-0-3	IM-202
	IM-303	Technology & Innovation Policy	3-0-0-3	-
	IM-304	Software Engineering Principles	3-0-0-3	IM-204
	IM-305	Innovation in Healthcare Systems	3-0-0-3	-
	IM-306	Marketing Innovation Strategies	3-0-0-3	-
	IM-307	Intellectual Property Rights	3-0-0-3	-
	IM-308	Workshop in Data Visualization	0-0-2-2	-
	IM-309	Departmental Elective I	3-0-0-3	-
	IM-310	Departmental Elective II	3-0-0-3	-
	IM-311	Innovation Lab III	0-0-2-2	IM-211
	IM-312	Cross-Cultural Innovation	2-0-0-2	-
Semester IV	IM-401	Innovation Ecosystems	3-0-0-3	IM-301
	IM-402	Advanced Business Analytics	3-0-0-3	IM-302
	IM-403	Product Development Lifecycle	3-0-0-3	-
	IM-404	Systems Thinking & Innovation	3-0-0-3	-
	IM-405	Financial Aspects of Innovation	3-0-0-3	-
	IM-406	Innovation Metrics & Impact Assessment	3-0-0-3	-
	IM-407	Workshop in Innovation Tools	0-0-2-2	-
	IM-408	Departmental Elective III	3-0-0-3	-
	IM-409	Departmental Elective IV	3-0-0-3	-
	IM-410	Innovation Lab IV	0-0-2-2	IM-311
	IM-411	Research Methodology in Innovation	3-0-0-3	-
	IM-412	Career & Personal Development	2-0-0-2	-
Semester V	IM-501	Digital Innovation & AI Applications	3-0-0-3	IM-402
	IM-502	Blockchain for Innovation	3-0-0-3	-
	IM-503	Sustainable Development Goals & Innovation	3-0-0-3	-
	IM-504	Entrepreneurship & Startup Ecosystems	3-0-0-3	-
	IM-505	Innovation in Public Sector	3-0-0-3	-
	IM-506	Cross-Domain Innovation	3-0-0-3	-
	IM-507	Workshop in Innovation Platforms	0-0-2-2	-
	IM-508	Departmental Elective V	3-0-0-3	-
	IM-509	Departmental Elective VI	3-0-0-3	-
	IM-510	Mini Project I	0-0-4-4	-
	IM-511	Innovation Lab V	0-0-2-2	IM-410
	IM-512	Industry Internship	0-0-6-6	-
Semester VI	IM-601	Advanced Innovation Strategy	3-0-0-3	IM-501
	IM-602	Global Innovation Trends	3-0-0-3	-
	IM-603	Innovation & Ethics	3-0-0-3	-
	IM-604	Risk Management in Innovation	3-0-0-3	-
	IM-605	Innovation Metrics & KPIs	3-0-0-3	-
	IM-606	Workshop in Innovation Tools II	0-0-2-2	-
	IM-607	Departmental Elective VII	3-0-0-3	-
	IM-608	Departmental Elective VIII	3-0-0-3	-
	IM-609	Mini Project II	0-0-4-4	IM-510
	IM-610	Innovation Lab VI	0-0-2-2	IM-511
	IM-611	Industry Internship II	0-0-6-6	IM-512
	IM-612	Final Year Thesis/Capstone Project	0-0-8-8	-

Advanced Departmental Electives

The department offers a range of advanced electives designed to allow students to specialize in specific areas within innovation management. These courses are delivered by faculty members who are experts in their respective fields and bring both academic rigor and industry experience.

• AI for Innovation: This course explores how artificial intelligence can be leveraged to accelerate innovation processes. Students learn about machine learning algorithms, natural language processing, computer vision, and deep learning applications in innovation contexts. Through hands-on labs and real-world projects, students develop AI-based tools that enhance idea generation, evaluation, and implementation.
• Cybersecurity Innovation: As cybersecurity threats continue to evolve, this course examines how innovation can be used to strengthen digital defenses. Students explore topics such as threat modeling, secure architecture design, blockchain-based security solutions, and privacy-preserving technologies. The course includes simulations and case studies from global cybersecurity incidents.
• Sustainable Product Innovation: Focused on environmental sustainability, this elective teaches students how to integrate sustainable practices into product development cycles. Topics include eco-design principles, lifecycle assessment, circular economy models, and green innovation strategies. Students work on projects that address real-world environmental challenges using innovative approaches.
• Innovation in Healthcare: This course examines the unique challenges and opportunities in healthcare innovation. Students study medical device design, digital health solutions, personalized medicine, regulatory compliance, and patient-centered care models. Collaborations with local hospitals and research centers provide students with practical exposure to healthcare innovation.
• Public Sector Innovation: Designed for students interested in working in government or public institutions, this elective focuses on innovation strategies that address societal challenges. Topics include policy innovation, citizen engagement, digital governance, and social impact measurement. Students engage in projects with local governments and NGOs to develop innovative solutions for community problems.
• Entrepreneurship & Innovation Ecosystems: This course provides an overview of how startups and entrepreneurs can thrive within larger innovation ecosystems. Students learn about venture capital financing, business model innovation, customer discovery, and scalable growth strategies. Real-world case studies from successful startups in India and abroad are analyzed to understand the dynamics of ecosystem development.
• Innovation Metrics & Impact Assessment: This elective teaches students how to measure the success of innovation initiatives using quantitative and qualitative methods. Students learn about key performance indicators, return on investment (ROI) analysis, impact mapping, and stakeholder feedback mechanisms. The course includes practical exercises in designing evaluation frameworks for innovation projects.
• User-Centered Design: Focused on understanding user needs and preferences, this course introduces students to design thinking methodologies, prototyping techniques, usability testing, and human factors engineering. Students work on real-world design challenges with users from diverse backgrounds, ensuring that their innovations are both functional and user-friendly.
• Open Innovation & Crowdsourcing: This course explores how organizations can leverage external sources of innovation to accelerate development cycles. Students examine open innovation platforms, crowdsourcing models, innovation networks, and collaborative ecosystems. The track includes internships with innovation hubs, startup accelerators, and corporate innovation labs.
• Business Model Innovation: Students learn how to create and test new business models that drive innovation and value creation. Topics include disruptive innovation, platform economics, subscription models, and monetization strategies. Through simulations and real-world projects, students experiment with innovative approaches to business model development.

Project-Based Learning Framework

Our department places a strong emphasis on project-based learning, which is integrated throughout the curriculum from early semesters to final year capstone projects. This approach ensures that students develop practical skills and apply theoretical concepts in real-world contexts.

The framework begins with mini-projects during the third and fourth semesters, where students work in teams to solve specific innovation challenges. These projects are guided by faculty mentors and often involve collaboration with industry partners. Students are expected to demonstrate their ability to identify problems, propose solutions, implement prototypes, and evaluate outcomes.

The final-year thesis/capstone project is a comprehensive endeavor that requires students to conduct independent research or develop a significant innovation initiative. The project must address a real-world problem, involve substantial research or experimentation, and result in a deliverable that demonstrates mastery of the subject matter.

Students are supported throughout their projects by dedicated faculty advisors, access to specialized tools and resources, and regular feedback sessions. The evaluation criteria include project design, execution quality, innovation potential, teamwork effectiveness, and presentation skills. Additionally, students present their projects at an annual Innovation Showcase, where they receive feedback from peers, faculty, and industry experts.

The department encourages students to seek mentorship from faculty members whose expertise aligns with their project interests. This ensures that students receive guidance tailored to their specific goals and challenges. Faculty mentors play a crucial role in helping students navigate technical difficulties, refine their ideas, and connect with relevant industry contacts.