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 B Tech – AI & Machine Learning (Direct Second Year)

Program Review

The DSY AI & Machine Learning program at Atharva University, Mumbai is tailored for diploma students seeking to specialize in AI-driven automation, intelligent systems, and algorithmic development. The curriculum introduces students to the core principles of machine learning, neural networks, robotics, and computational modelling. The program focuses on practical application through hands-on labs, coding assignments, mini-projects, and collaborative learning. Students develop strong mathematical foundations and technical skills to innovate in various domains such as healthcare, fintech, gaming, automation, and cybersecurity.

Duration & Eligibility

Requirements and selection process for the B Tech – AI & Machine Learning (Direct Second Year) Program

AI & ML LABS | ATHARVA UNIVERSITY

Duration

3 Years

Eligibility

Passed Minimum 3 Year Diploma in Engineering / 2 Years Diploma After HSC with 45% and Technology from an AICTE-approved or Central/State Government approved Institution/Board or its equivalent. (Minimum 40% aggregate marks for candidates belonging to the Reserved Category)

Selection Process

Personal Interview

Program Highlights

  • Lateral entry directly into second year
  • Focus on ML, Neural Networks, Deep Learning & Intelligent Systems
  • Practical learning with real datasets & algorithm design
  • Training on Python, TensorFlow, Keras, Scikit-Learn & AI toolkits
  • Industry workshops, guest lectures & technical competitions
  • Internship and placement support to build industry experience
  • Project-based learning to develop technical confidence

Career Prospects

Students completing this program can pursue careers as Machine Learning Engineers, AI Developers, Automation Engineers, Data Analysts, NLP Engineers, Computer Vision Specialists, and Software Developers. They find opportunities in IT companies, AI startups, research labs, robotics companies, fintech, healthcare technology & manufacturing automation

Program Outcomes

  • Expertise in designing machine learning models and intelligent systems
  • Strong programming and analytical capabilities
  • Ability to apply ML techniques to solve real-world challenges
  • Knowledge of ethical, responsible, and safe AI practices
  • Preparedness for mid-level and advanced roles in AI-driven industries

Industrial Visit Of Our Students