Candidates must have completed 10+2 (Intermediate) with Physics, Chemistry, and Mathematics (PCM) from a recognized board. A minimum aggregate of 50% marks is required for general category students, while students from reserved categories are eligible with 45% marks.
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Yes, students appearing for their board exams in 2026 can apply on a provisional basis. Admission is officially confirmed once you submit your final marksheet during the counseling phase, provided you meet the minimum eligibility percentage.
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Absolutely. The institution offers various scholarship schemes based on Class 12 merit and entrance ranks. Top-performing students in the Puran Murti Entrance Test (PMET) or JEE Main can qualify for up to 100% tuition fee waivers.
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Following our "Practical-First" model, students spend 60% of their time in high-tech AI labs. Training includes working with GPUs for deep learning, cloud computing setups with AWS and Google Cloud, and building real-world automation projects to ensure you are "day-zero productive."
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Our graduates are recruited by global tech giants and consultancy firms, including Google, Microsoft, Amazon, Adobe, IBM and Cisco, as well as major Indian firms like TCS and Infosys. Exceptional candidates have secured salary packages reaching up to ₹39.5 LPA.
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Yes, the program includes mandatory internships with top-tier organizations such as AWS, IBM and various AI startups. Students participate in hackathons, research cells, and certification labs to build a portfolio of real-world solutions before they graduate.
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Yes, candidates holding a 3-year diploma in a relevant engineering branch are eligible for lateral entry. This allows them to join the B.Tech CSE (AI & ML) program directly in the second year (3rd semester).
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Puran Murti Vidyapeeth features a secure residential ecosystem with separate hostels for boys and girls. The campus provides 24/7 security, high-speed Wi-Fi for research and mess facilities serving healthy, balanced meals to students from across India.
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Graduates are prepared for high-demand roles such as AI/ML engineer, data scientist, robotics engineer, NLP specialist, big data engineer and research scientist in sectors ranging from healthcare and finance to cybersecurity and space tech.
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