Amity University Noida B.Tech Admissions 2026
ApplyAmong Top 30 National Universities for Engineering (NIRF 2024) | 30+ Specializations | AI Powered Learning & State-of-the-Art Facilities
Total Fees 4.08 L |
₹ 4.08 L
MODE
Full timeDURATION
48 MonthsWith the rapid advancement of Artificial Intelligence and Machine Learning, industries worldwide are seeking skilled professionals who can develop intelligent systems, automate processes, and drive data-driven innovations. Keeping this in mind, SRMU has collaborated with the tech giant L&T to offer an industry-integrated BCA (Bachelor of Computer Application) with Specialization in Artificial Intelligence & Machine Learning. This cutting-edge program is designed to equip students with in-depth knowledge and practical expertise in AI-driven technologies, preparing them for the future of intelligent computing.
Understanding Artificial Intelligence & Machine Learning:
Artificial Intelligence & Machine Learning are revolutionizing industries by enabling machines to learn, adapt, and make decisions with minimal human intervention. AI-powered solutions are transforming sectors such as healthcare, finance, automation, and cybersecurity, making AI & ML specialists highly in demand. From Deep Learning and Neural Networks to Natural Language Processing and Computer Vision, AI professionals play a crucial role in shaping the future of technology.
At SRMU Lucknow, students benefit from an advanced AI & ML curriculum, designed in collaboration with L&T Edutech, providing hands-on training and real-world exposure in Machine Learning & Deep Learning, Natural Language Processing (NLP) & Chatbots, Computer Vision & Image Processing, AI-Powered Automation & Robotics, Big Data Analytics & Cloud Computing and Ethical AI & AI Security. As one of the Best BCA (AI & ML) colleges in Lucknow, Uttar Pradesh, SRMU ensures that students stay ahead in the fast-evolving AI landscape with a comprehensive, industry-aligned curriculum. Join the top university of Lucknow, Uttar Pradesh for BCA in AI & ML.
Candidate must have passed 10+2 or equivalent system from any recognized Board with minimum aggregate marks of 45% or equivalent grade for GEN /OBC and 40% marks or equivalent grade for SC/ ST Category.
Among Top 30 National Universities for Engineering (NIRF 2024) | 30+ Specializations | AI Powered Learning & State-of-the-Art Facilities
Ranked amongst top 3% universities globally (QS Rankings).
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