Artificial Intelligence and Machine Learning are reshaping the world by driving innovation across industries such as, healthcare, finance, robotics, e-commerce, transportation, and more. As global economies increasingly depend on intelligent systems and automation, the demand for skilled professionals in AI and ML continues to grow exponentially.
Recognizing this emerging need, Dwarkadas J. Sanghvi College of Engineering introduced an AICTE approved specialized undergraduate program â€" B.Tech in Artificial Intelligence and Machine Learning â€" from the academic year 2021â€"2022 with the intake of 60 seats. This intake was increased to 120 seats from the year 2024-25. This four-year program is tailored to develop strong foundational knowledge in computer science alongside focused expertise in cutting-edge AI and ML technologies. The program combines rigorous theoretical instruction with practical, hands-on experience. The department, supported by experienced faculty, headed by Dr. Aruna Gawade, has state of the art infrastructure including well-equipped laboratories, specious classrooms, industry-relevant curriculum, and an active mentorship and internship ecosystem.
The department has a student chapter DJS ACM
SIGAI (Special Interest Group on Artificial Intelligence) which is a vibrant
community dedicated to driving innovation and fostering curiosity in the field
of Artificial Intelligence. Established to empower the next generation of AI
enthusiasts, this chapter bridges the gap between academia and industry,
encouraging interdisciplinary collaboration and hands-on learning.
Why Choose us?
Future-Focused Curriculum: The B. Tech program in AI & ML is meticulously curated to balance theory with application. It covers foundational topics like, Machine Learning, Computer Vision, Deep Learning, Natural Language Processing, Large Language Modelling and Reinforcement Learning, while integrating advanced areas such as, Generative AI, AI in finance, AI in Healthcare, Robotics, Quantum Computing and Ethical AI. Considering the ever-changing technology and demand of Industry, we also offer Honours Degree programs in the domain of Immersive Technology and FinTech.
Industry-Relevant Skills for a Global Market:With the AI/ML sector experiencing a global talent shortage, and India contributing to over 6% of the world’s AI job market, this program uniquely positions students to meet both domestic and internationaldemands for skilled professionals.
High-Demand Career Opportunities: AI and ML are consistently ranked among the top career choices worldwide. Roles such as, AI/ML Engineer, Data Scientist, AI Researcher, NLP Engineer, GenAI engineer, Full stack Developer, Dev-Ops Engineer, ML-Ops engineer are seeing exponential growth across industries. Our graduates are equipped with in-demand skills that make them highly employable in today’s and tomorrow’s job market with students placed in companies in the domain of Banking, Finance, Consulting, Trading, Marketing and Innovative Start-ups.
Hands-on and Project-Based Learning:Students gain exposure through practical labs, real-world projects, industry internships, Kaggle challenges, and hackathons, ensuring readiness for both employment and entrepreneurship.
Interdisciplinary Innovation: Students explore applications of AI in healthcare, cybersecurity, bioinformatics, finance, robotics, education, and even computational linguistics. Collaborations with other departments encourage cross-domain research and problem-solving.
Pathway to Higher Studies: The rigorous academic foundation, research-oriented approach, and exposure to cutting-edge technologies make this program an excellent launchpad for higher education in India and abroad. Graduates are well-prepared for MS, M.Tech or MBA (Tech), and PhD programs at premier institutions such as, IITs, IISc, IIITs, and top global universities like, Arizona State University, University of South California, Dublin City University, Rutgers University, North-western University, Rice University etc.
| Duration 4 Years |
Year of establishment 2021 |
Intake 120 |
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| Degree B.Tech(Artificial Intelligence and Machine Learning) |
||||
Second Year
| Sem III (revised as per NEP) | Sem IV (revised as per NEP) |
|---|---|
| Linear Algebra and Optimization Techniques | Probability and Statistical Inference |
| Data Structures | Design and Analysis of Algorithms |
| Python Laboratory | Artificial Intelligence |
| Operating Systems | Programming Laboratory-II (Web Development) |
| Product Lifecycle Management Management Information System Operations Research Personal Finance Management Public System & Policies Fundamentals of Biomedical Instruments IPR & Patenting Entrepreneurship and Startup Ecosystem |
Project Management Cyber Security, Policies and Laws Advanced Operations Research Corporate Finance Management Corporate Social Responsibility Bioinformatics Human Resource Management Digital Marketing Management Logistics and Supply Chain Management |
| Professional and Business Communication | Database Management Systems |
| Economics and Financial Management | Design Thinking |
| Community Engagement Service | Universal Human Values |
| Innovative Product Development I | Innovative Product Development II |
Third Year
| Sem V (revised as per NEP) | Sem VI (revised as per NEP) |
|---|---|
| Machine Learning | Large Language Models |
| Natural Language Processing | Deep Learning |
| Image Processing and Computer Vision | MLOPS & DEVOPS |
| Computer Network | Internet of Things |
| Programming Laboratory-III(Full Stack Development using NextJs) | Probabilistic Graph Models |
| Human Machine Interaction | Cybersecurity |
| Advanced Data Structures and Algorithms | AI in Healthcare |
| Recommendation Systems | Time Series analysis for Financial Applications |
| Environmental Studies | Robotics |
| Innovative Product Development III | Big Data Analytics |
Final Year
| Sem VII (revised as per NEP) | Sem VIII (revised as per NEP) |
|---|---|
| High Performance Computing | Reinforcement Learning |
| Large Language Models | Ethical AI |
| Big Data Laboratory | AI in Healthcare |
| Robotics | Quantum AI |
| Artificial Intelligence in Finance | Image Generative AI |
| Artificial Intelligence in Cybersecurity | |
| Product Lifecycle Management Management Information System Operations Research Cyber Security and Laws Personal Finance Management Energy Audit and Management Disaster Management and Mitigation Measures Science of Well-being Research Methodology Public Systems and Policies |
Project Management Entrepreneurship Development and Management Corporate Social Responsibility Human Resource Management Corporate Finance Management Logistics and Supply Chain Management IPR and Patenting Digital Marketing Management Environmental Management Labour and Corporate Law |
| Project Stage I | Project Stage II |
View Syllabus:
| Year/Scheme | DJ19 | DJS22 | DJS23 | Honors (DJ19) |
Honors (DJS22) |
Honors (DJS23) |
|---|---|---|---|---|---|---|
| S.Y. | Sem-III | Sem-III | Sem-III | Sem-III (Immersive Tech.) Sem-III (Fintech) |
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| Sem-IV | Sem-IV | Sem-IV | Sem-IV | |||
| T.Y. | Sem-V | Sem-V | Sem-V | Sem-V | Sem-V | Sem-V |
| Sem-VI | Sem-VI | Sem-VI | Sem-VI | |||
| B.Tech | Sem-VII | Sem-VII | Sem-VII | Sem-VII | ||
| Sem-VIII | Sem-VIII |
