Newton School of Technology Invites Applications For B.Tech In Computer Science & AI

Newton School of Technology, in collaboration with Rishihood University, is now accepting applications for the online entrance exam NSAT (Newton Scholastic Aptitude Test) for the batch of 2024.Upto January 12, students from across the country who have secured more than 50% in their Higher Secondary School exams in 2022, 2023 or 2024- from a recognised board can apply for a B.Tech. in Computer Science and Artificial Intelligence here.

Through the early intake round, applicants can avail a bunch of scholarships and increase their chances of admissions. Based on NSAT, Interview scores, JEE, CBSE, KVPY and Olympiads performance, students can avail up to 100% merit-based scholarships for tuition fees. To encourage more students to achieve their academic goals the programme additionally offers higher scholarship on tuition fee for female students across all 4 years. The meticulously curated curriculum of the course is designed to empower individuals to think critically, solve complex problems and thrive in the fast-paced tech first environment ensuring success in the industry.

Located in Delhi NCR, the course offers students opportunities for global exposure with funded international study trips and conferences, classes from international faculty from MIT, Duke University and tech leaders from Amazon, Google, and more. NST students have qualified for ICPC (International Collegiate Programming Contest) regionals- world’s most sought after student coding competition- under the mentorship of industry experts, just in their first semester, outperforming India’s top colleges. The course also offers students the opportunity to pitch their start-up ideas directly to venture capitalists and stand a chance to raise funds with an added advantage of a ₹1 cr start-up fund available to the students.

In the first and second years, students focus on programming fundamentals, data structures and algorithms, web development, and foundational software engineering. The third-year advances into intricate user research and growth strategy, mathematics for AI, machine learning, and NLP. The final year centers on entrepreneurship- building start-ups, leading teams, and comprehensive understanding of the start-up environment, preparing students as future tech leaders.