B.E. in Artificial Intelligence and Data Science at Keystone School of Engineering

If you are looking at B.E. in Artificial Intelligence and Data Science, Keystone School of Engineering runs it as a 4-year, full-time undergraduate course. The intake is 60 seats a year. The total fee on record is ₹3.1 lakh, which works out to about ₹78,000 a year.

At its core, the programme covers how machines learn from data: programming in Python, probability and statistics, machine learning, neural networks, computer vision and natural language processing, with projects on real datasets.

Keystone School of Engineering is a private institute, founded in 2012. This page brings together what is on record for this course at Keystone School of Engineering — fees, seats, eligibility, the admission route and placements — so you can judge it before you apply.

Most B.Tech programmes follow a similar pattern: the first year builds the foundations (mathematics, science and programming), the middle years go deep into the subject, and the final year is given over to electives, a major project and usually an internship.

Here that means how machines learn from data: programming in Python, probability and statistics, machine learning, neural networks, computer vision and natural language processing, with projects on real datasets. Typical first jobs: machine learning engineer, AI developer, data scientist or research engineer. Many graduates also go on to a master's degree.

The exact syllabus is set by the college or its affiliating university and changes from year to year, so ask Keystone School of Engineering for the current semester-wise plan.

Here is how the fee on record breaks down. Fees are for the whole course unless marked otherwise, and apply to B.Tech programmes at Keystone School of Engineering as a group.

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Colleges revise fees most years, and hostel, transport and exam charges are often billed separately. Confirm the current figure with Keystone School of Engineering before you pay anything.

To be considered for B.E. in Artificial Intelligence and Data Science, you usually need Class 12 with Physics and Mathematics, plus Chemistry, Computer Science or another technical subject; most colleges ask for roughly 45–60% in these subjects.

Admission to this kind of course is usually through JEE Main and state engineering entrance exams. Reserved-category candidates generally get a relaxation in the minimum marks. Check Keystone School of Engineering's prospectus for the exact cut-off this year.

Here is the usual route in:

1. Check that you meet the eligibility above and register for the entrance exam in time.
2. Take JEE Main and state engineering entrance exams and keep your scorecard.
3. Apply to Keystone School of Engineering or through the enquiry form on this page, and take part in counselling if a state or central body runs it.
4. Once you are offered a seat, verify your documents (marksheets, ID, category certificate if any) and pay the admission fee to confirm it.

Keystone School of Engineering runs 4 B.Tech specialisations in all. Worth comparing before you decide:

• B.E. in Electronics and Telecommunication Engineering
• B.E. in Computer Engineering
• B.E. in Mechanical Engineering

Before you decide, it helps to be clear on these:

• Are you genuinely interested in how machines learn from data? You will spend 4 years on it.
• Can you manage ₹3.1 lakh over the course, plus hostel and living costs? Ask about scholarships and education loans.
• What do recent graduates of this course actually go on to do?
• How does Keystone School of Engineering compare with other colleges offering B.Tech?