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Fees
₹8,00,000
Placement
92.5%
Avg Package
₹12,00,000
Highest Package
₹40,00,000
Fees
₹8,00,000
Placement
92.5%
Avg Package
₹12,00,000
Highest Package
₹40,00,000
Seats
150
Students
1,500
Seats
150
Students
1,500
The Tech Entrepreneurship program at Kerala University of Digital Sciences Innovation and Technology is structured over 8 semesters, with each semester designed to progressively build upon foundational knowledge and introduce advanced concepts. The curriculum combines core engineering principles, interdisciplinary electives, laboratory work, and experiential learning components to ensure a holistic educational experience.
| Semester | Course Code | Course Title | Credits (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | CS101 | Introduction to Programming | 3-0-0-3 | None |
| 1 | CS102 | Mathematics for Engineers | 3-0-0-3 | None |
| 1 | CS103 | Physics for Computing | 3-0-0-3 | None |
| 1 | CS104 | Design Thinking and Innovation | 2-0-0-2 | None |
| 1 | CS105 | English Communication Skills | 2-0-0-2 | None |
| 1 | CS106 | Introduction to Digital Systems | 3-0-0-3 | None |
| 1 | LAB101 | Programming Lab | 0-0-2-1 | CS101 |
| 2 | CS201 | Data Structures and Algorithms | 3-0-0-3 | CS101 |
| 2 | CS202 | Digital Electronics | 3-0-0-3 | CS106 |
| 2 | CS203 | Object-Oriented Programming | 3-0-0-3 | CS101 |
| 2 | CS204 | Business Fundamentals | 2-0-0-2 | None |
| 2 | CS205 | Entrepreneurship Essentials | 2-0-0-2 | CS104 |
| 2 | CS206 | Statistics for Data Science | 3-0-0-3 | CS102 |
| 2 | LAB201 | Computer Architecture Lab | 0-0-2-1 | CS202 |
| 3 | CS301 | Database Management Systems | 3-0-0-3 | CS201 |
| 3 | CS302 | Software Engineering | 3-0-0-3 | CS203 |
| 3 | CS303 | Web Technologies | 3-0-0-3 | CS201 |
| 3 | CS304 | Entrepreneurial Economics | 2-0-0-2 | CS204 |
| 3 | CS305 | Financial Literacy for Startups | 2-0-0-2 | CS204 |
| 3 | CS306 | Human Resource Management | 2-0-0-2 | CS204 |
| 3 | LAB301 | Software Development Lab | 0-0-2-1 | CS302 |
| 4 | CS401 | Machine Learning Fundamentals | 3-0-0-3 | CS201, CS206 |
| 4 | CS402 | Cybersecurity Essentials | 3-0-0-3 | CS202 |
| 4 | CS403 | Digital Marketing Strategies | 2-0-0-2 | CS304 |
| 4 | CS404 | Product Design Thinking | 2-0-0-2 | CS104 |
| 4 | CS405 | Project Management | 2-0-0-2 | CS204 |
| 4 | CS406 | Sustainable Business Models | 2-0-0-2 | CS304 |
| 4 | LAB401 | AI & ML Lab | 0-0-2-1 | CS401 |
| 5 | CS501 | Advanced Data Analytics | 3-0-0-3 | CS301, CS206 |
| 5 | CS502 | Blockchain Technology | 3-0-0-3 | CS402 |
| 5 | CS503 | Entrepreneurial Leadership | 2-0-0-2 | CS404 |
| 5 | CS504 | Business Strategy & Planning | 2-0-0-2 | CS304 |
| 5 | CS505 | Entrepreneurship Law | 2-0-0-2 | CS305 |
| 5 | CS506 | Capstone Project Preparation | 2-0-0-2 | CS401, CS402 |
| 5 | LAB501 | Advanced Analytics Lab | 0-0-2-1 | CS501 |
| 6 | CS601 | Advanced Machine Learning | 3-0-0-3 | CS401 |
| 6 | CS602 | Cloud Computing & DevOps | 3-0-0-3 | CS303 |
| 6 | CS603 | Startup Ecosystem Analysis | 2-0-0-2 | CS503 |
| 6 | CS604 | Customer Experience Design | 2-0-0-2 | CS404 |
| 6 | CS605 | Investment Banking for Tech | 2-0-0-2 | CS305 |
| 6 | CS606 | Research Methodology | 2-0-0-2 | CS501 |
| 6 | LAB601 | DevOps & Cloud Lab | 0-0-2-1 | CS602 |
| 7 | CS701 | Capstone Project I | 4-0-0-4 | CS506, CS603 |
| 7 | CS702 | Advanced Entrepreneurial Finance | 2-0-0-2 | CS505 |
| 7 | CS703 | Global Market Entry Strategy | 2-0-0-2 | CS404 |
| 7 | CS704 | Entrepreneurial Communication | 2-0-0-2 | CS503 |
| 7 | CS705 | Technology Transfer & IP | 2-0-0-2 | CS505 |
| 7 | LAB701 | Capstone Project Lab | 0-0-4-2 | CS701 |
| 8 | CS801 | Capstone Project II | 6-0-0-6 | CS701 |
| 8 | CS802 | Entrepreneurship Internship | 2-0-0-2 | CS503, CS603 |
| 8 | CS803 | Final Presentation & Defense | 2-0-0-2 | CS701 |
| 8 | CS804 | Leadership in Tech Ventures | 2-0-0-2 | CS704 |
| 8 | CS805 | Post-Graduate Readiness | 2-0-0-2 | CS701 |
| 8 | LAB801 | Final Capstone Lab | 0-0-4-2 | CS801 |
Advanced departmental elective courses are designed to deepen students' understanding in specialized areas and prepare them for real-world challenges. These subjects are often taught by industry experts or researchers with strong academic credentials.
This course explores how machine learning algorithms can be applied to solve complex business problems, particularly in areas like customer segmentation, fraud detection, recommendation systems, and predictive maintenance. Students will learn practical implementation using Python libraries such as Scikit-Learn, TensorFlow, and Keras.
Designed for students interested in protecting digital assets and infrastructure, this course covers network security protocols, encryption techniques, risk assessment methodologies, and ethical hacking practices. Practical labs simulate real-world threats and responses to enhance learning outcomes.
This elective teaches students how to leverage data-driven insights for marketing campaigns. Topics include Google Analytics, social media analytics, conversion rate optimization, A/B testing, and ROI measurement across various digital platforms.
Students learn the principles of product development from ideation to launch. The course includes user research, competitive analysis, feature prioritization, agile methodologies, and portfolio management. Real-world case studies from successful startups are analyzed for deeper understanding.
This subject introduces students to blockchain architecture, consensus mechanisms, smart contract development using Solidity, decentralized applications (dApps), and cryptocurrency systems. Emphasis is placed on practical implementation through hands-on labs and project work.
Focuses on creating sustainable business models that minimize environmental impact while maximizing value creation. Students explore renewable energy solutions, circular economy principles, waste reduction strategies, and green technology innovations.
This course emphasizes human-centered design thinking in product development. Students learn to conduct user research, create wireframes and prototypes, perform usability testing, and implement feedback loops using tools like Figma, Sketch, and InVision.
Students study financial modeling for startups, venture capital financing, angel investing, equity valuation, and IPO processes. The course includes simulations of fundraising scenarios and case studies of successful funding rounds.
This elective explores emerging technologies in finance, including robo-advisors, digital payments, blockchain-based financial services, and regulatory compliance frameworks. Students examine real-world examples and discuss policy implications for fintech startups.
Students learn about urban planning using IoT sensors, data analytics, smart transportation systems, energy-efficient buildings, and public safety networks. Projects involve designing solutions for real cities using simulation tools and crowd-sourced data.
The program strongly emphasizes project-based learning as a core component of education. Projects are designed to be interdisciplinary, collaborative, and outcome-focused. Students work in teams to tackle real-world problems, applying theoretical knowledge to practical situations.
Mini-projects are introduced in the second year, where students select topics related to their interests or industry needs. These projects are supervised by faculty members with expertise in relevant fields. Evaluation criteria include innovation, feasibility, impact assessment, and presentation quality.
The final-year capstone project is a comprehensive initiative that allows students to propose and execute an entrepreneurial venture from concept to implementation. This project serves as the culmination of their academic journey and provides them with tangible experience for future endeavors.
Faculty mentors play a crucial role in guiding students throughout their projects. Mentors are selected based on their expertise, availability, and alignment with student interests. Regular meetings, progress reviews, and peer feedback sessions ensure continuous improvement and accountability.