LATE G. N. SAPKAL COLLEGE OF ENGINEERING

The Department of Artificial Intelligence & Data Science Engineering at Late G. N. Sapkal College of Engineering, Nashik was started in the academic year 2023–24 with an intake capacity of 60 students. As part of one of the top engineering colleges in Nashik, the department offers a future-focused learning environment with excellent infrastructure, well-equipped laboratories, highly configured computer systems, organized classrooms and experienced faculty members.

Recognized as a growing choice for students searching for an Artificial Intelligence and Data Science Engineering college in Nashik, the department focuses on important areas such as artificial intelligence, data science, machine learning, data analytics, statistics, computer science, information science, mathematics and domain-based problem solving. The program is designed to help students understand how intelligent systems, algorithms and data-driven technologies are transforming industries across the world.

Artificial Intelligence and Data Science is one of the fastest-growing fields in engineering and technology. It combines the power of AI, machine learning, data analysis and computational techniques to convert raw data into useful insights. Students learn how to design, develop and use modern tools and technologies to solve real-world industrial and social problems through data-based decision-making.

The main objective of the AI & Data Science Engineering program at LGNSCOE Nashik is to prepare students for the next generation of artificial intelligence, automation and analytics-driven careers. The course helps students build strong technical skills for industries such as healthcare, finance, manufacturing, retail, IT services, automation, research and product development.

Graduates in Artificial Intelligence and Data Science can explore career opportunities as Data Scientist, Artificial Intelligence Engineer, Machine Learning Engineer, Data Analyst, Data Engineer, Business Analyst, AI Consultant, Data Architect, Database Administrator, Research Scientist, Big Data Architect, Software Engineer, Analytics Manager and other technology-driven roles.

With qualified faculty, practical lab-based training, modern infrastructure and industry-oriented learning, the department aims to develop skilled professionals who are ready for the future of AI, data science and digital transformation.