A Computer Science Engineering in AI & ML
"Artificial Intelligence and Machine Learning in Computer Science"
Artificial Intelligence (AI) enables computer systems to perform tasks like visual perception, speech recognition, decision-making, and language translation, mimicking human intelligence. Machine Learning (ML), a key aspect of AI, automates data analysis and model creation.
The demand for AI and ML in industry and academia is soaring, with companies like Microsoft, Google, Amazon, Tesla, and NVIDIA integrating these technologies into their products. Students in this field learn to design intelligent solutions for diverse business challenges, gaining skills applicable across various domains.
VVIT offers a four-year "B.E. in CSE (AI & ML)" program, focusing on neural networks, robotics, deep learning, natural language processing, and other AI technologies. The program equips students with world-class expertise and a strong technical foundation.
Our experienced faculty blend academic and industry insights to prepare students for high industry standards. Modern labs, aligned with VTU guidelines, feature advanced desktops and high-speed internet to support research and learning.
The "CSE AI & ML Department" is dedicated to producing skilled professionals who meet the nation’s technical needs.
B.E. (Computer Science Engineering in Artificial Intelligence & Machine Learning)
Approved Intake – 60
The Department of Computer Science and Engineering in AI & ML aims to provide world-class education in Information Technology, equipping students with state-of-the-art infrastructure and diverse computing platforms to meet the demands of the IT industry. Offering a BE program in Computer Science and Engineering (intake of 60) and an M.Tech in Computer Network Engineering (intake of 18), the department fosters confident, skilled professionals prepared for real-world challenges. With a highly qualified faculty team, it creates an excellent academic environment that encourages technical skill development and teamwork. Motivated students, aligned with industry dynamics, secure placements in top Indian and multinational IT companies, achieving notable career success. The department wishes all students a disciplined and successful future.
Faculty
HOD & Associate Professor
E.X.E Engg, Computer Science Engg, Cloud Computing
Email: nazneentaj98@gmail.com
Assistant Professor
Information Science Engg, Computer Science Engg, (Data Science).
Email: shushma.r65@gmail.com



