Btech In Data Science And AI | Direct 2nd Yr

Programme Overview

The DSY program in AI & Data Science at Atharva University, Mumbai allows diploma holders to directly enter the second year of the B.Tech program. The curriculum is designed to give students an accelerated pathway into advanced AI and data technologies. With industries increasingly adopting automation, predictive analytics, and intelligent systems, this program offers a blend of mathematics, programming, machine learning, big data, and cloud computing. Students receive extensive practical exposure through labs, real datasets, and project-based learning. The program ensures that students build strong analytical thinking, technical knowledge, and problem-solving abilities required for modern tech careers.

Duration & Eligibility

Requirements and selection process for the B.Tech Artificial Intelligence and Data Science program

Duration

3 Years (Full-time)

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

Programme Highlights

Lateral entry to second year for diploma students
Curriculum covering ML, AI, Deep Learning, Big Data & Cloud Technologies
Hands-on training in Python, R, SQL, TensorFlow, Hadoop, Spark & other tools
Industry-led workshops, seminars & expert sessions
Labs equipped for coding, cloud computing & analytics
Live projects, internships & portfolio-based learning
Career readiness training in communication, teamwork & project execution

Career Prospects

Graduates can work as AI Engineers, Data Scientists, Machine Learning Engineers, Data Analysts, Big Data Engineers, Cloud Analysts, Automation Specialists and Software Developers. They are recruited by IT companies, analytics firms, startups, financial institutions, e-commerce companies, and research organizations.