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Artificial Intelligence and Machine Learning

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About Us

 

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 – B.Tech in Artificial Intelligence and Machine Learning – from the academic year 2021–2022 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.


 

Key Points

Duration
4 Years
Year of establishment
2021
Intake
120
Degree
B.Tech(Artificial Intelligence and Machine Learning)

Syllabus

Second Year

Semester III Semester IV
Linear Algebra and Optimization Techniques
Statistics for Engineers
Data Structures Innovative Product Development II
Python Laboratory Artificial Intelligence
Operating Systems
Data Mining and Analytics
Open Elective
Design and Analysis of Algorithms
Innovative Product Development I Programming Laboratory-II (Web Development)
Professional and Business Communication Tutorial 
Design Thinking Laboratory
Economics and Financial Management
Constitution of India
Community Engagement Service

Third Year

Semester V Semester VI
Digital Signal and Image Processing Computer Vision
Machine Learning Deep Learning
Natural Language Processing
Machine Learning Operations (MLOps)
Programming Laboratory-III(Full stack development using python) Design Thinking Laboratory
Department Elective 1: Computer Network Security Department Elective 1: IoT Foundations
Department Elective 2: Advanced Data Structures and Algorithms Department Elective 2 : Time Series Analysis
Department Elective 3: Recommendation Systems Department Elective 3: Human Machine Interaction
Environmental Studies Professional and Business Communication Laboratory
Innovative Product Development III Innovative Product Development IV

Final Year

Semester VII Semester VIII
High Performance Computing Reinforcement Learning
Large Language Models Ethical AI
Big Data Laboratory AI in Healthcare
Elective1: Robotics Quantum AI
Elective 2: Artificial Intelligence in Finance Image Generative AI
Elective 3: Artificial Intelligence in Cyber Security Institute Level Elective Courses- II
Institute Level Elective Courses- I Project Stage - II
Project Stage - I

View Syllabus:

Year/Scheme DJ19 DJS22 DJS23 Honors
(DJ19)
Honors
(DJS22)
Honors
(DJS23)
S.Y. Sem-III Sem-III Sem-III Sem-III
Sem-IV Sem-IV Sem-IV Sem-IV
T.Y. Sem-V Sem-V Sem-V Sem-V
Sem-VI Sem-VI Sem-VI Sem-VI
B.Tech Sem-VII Sem-VII
  Sem-VIII      Sem-VIII    


Scheme and Syllabus of Minors Degree Program