B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at JNTUH

B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at JNTUH in Hyderabad, Telangana is a 4-year undergraduate programme. Each year's batch has 180 seats. The total fee on record is ₹83,500 – ₹11.83 lakh, which works out to about ₹21,000 a year.

The course is about 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.

JNTUH is a other institute, founded in 1972. This page brings together what is on record for this course at JNTUH — 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 JNTUH for the current semester-wise plan.

This is what the course costs, as recorded. Fees are for the whole course unless marked otherwise, and apply to B.Tech programmes at JNTUH as a group.

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

For admission to B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning), 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. The minimum marks on record at JNTUH are: X: 0.0, XII: 45.0, Graduation: 0.0.

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 JNTUH's prospectus for the exact cut-off this year.

The admission process usually runs like this:

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 JNTUH on its website (vnrvjiet.ac.in) 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.

Going by the latest placement record (2022) show a highest package of ₹46 lakh at JNTUH. These are college-wide figures, not only for this specialisation.

For B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) specifically, the average salary on record is ₹4.5 lakh a year.

Placement numbers vary a lot by year and by branch. Ask the placement cell for the branch-wise report of the last two batches.

JNTUH runs 69 B.Tech specialisations in all. The others you can compare it with:

• Bachelor of Technology (B.Tech.) (Lateral Entry)
• B.Tech. in Computer Science and Engineering
• B.Tech. in Computer Science and Engineering
• B.Tech. in Information Technology
• B.Tech. in Artificial Intelligence and Data Science
• B.Tech. in Civil Engineering
• B.Tech. in Computer Science and Engineering (Lateral Entry)
• B.Tech. in Electronics and Instrumentation Engineering
• B.Tech. in Electrical and Electronics Engineering (Lateral Entry)
• B.Tech. in Information Technology
• B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
• B.Tech. in Computer Science and Engineering
• B.Tech. in Computer Science and Business Systems
• B.Tech. in Electronics and Communication Engineering
• B.Tech. in Computer Science and Engineering (Data Science)
• B.Tech. in Aeronautical Engineering (Lateral Entry)
• B.Tech. in Electrical and Electronics Engineering
• B.Tech. in Computer Science and Engineering
• B.Tech. in Mechanical Engineering
• B.Tech. in Electrical and Electronics Engineering
• B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
• B.Tech. in Civil Engineering (Lateral Entry)
• B.Tech. in Computer Science and Engineering
• B.Tech. in Computer Science and Engineering (Cyber Security)
• B.Tech. in Computer Science Engineering
• B.Tech. in Electronics and Communication Engineering
• B.Tech. in Computer Science and Engineering
• B.Tech. in Automobile Engineering
• B.Tech. in Computer Science and Engineering
• B.Tech. in Electrical and Electronics Engineering

A few questions worth answering before you apply:

• Are you genuinely interested in how machines learn from data? You will spend 4 years on it.
• Can you manage ₹83,500 – ₹11.83 lakh over the course, plus hostel and living costs? Ask about scholarships and education loans.
• Are the placement figures above good enough for your goals? Ask for the branch-wise numbers.
• How does JNTUH compare with other colleges offering B.Tech in and around Hyderabad?