B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) in Association with Xebia at MRIIRS Faridabad

B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) in Association with Xebia at MRIIRS Faridabad in Faridabad, Haryana is a 4-year undergraduate programme. The total fee on record is ₹8.64 lakh – ₹12.36 lakh, which works out to about ₹2.16 lakh 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.

MRIIRS Faridabad is a other institute, founded in 2004. This page brings together what is on record for this course at MRIIRS Faridabad — 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 MRIIRS Faridabad 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 MRIIRS Faridabad as a group.

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

For admission to B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) in Association with Xebia, 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 MRIIRS Faridabad are: X: 0.0, XII: 60.0, 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 MRIIRS Faridabad'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 MRIIRS Faridabad on its website (manavrachna.edu.in/university) 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 (2023) show a highest package of ₹60 lakh at MRIIRS Faridabad. These are college-wide figures, not only for this specialisation.

For B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) in Association with Xebia specifically, the average salary on record is ₹4.25 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.

MRIIRS Faridabad runs 19 B.Tech specialisations in all. The others you can compare it with:

• B. Tech. in Robotics and Artificial Intelligence
• B.Tech. in Mechanical Engineering (Smart Manufacturing and Automation)
• B.Tech. in Computer Science and Engineering
• B.Tech. in Computer Science and Engineering (Cyber Security and Threat Intelligence) in Association with Quick Heal
• B.Tech. in Computer Science and Engineering (Lateral Entry)
• Discontinued (Oct 2023)- B.Tech. in Electronics and Computer Engineering
• B.Tech. in Mechanical Engineering (Lateral Entry)
• B.Tech. in Computer Science and Engineering (Cloud, DevOps and Fullstack Development) in Association with Xebia
• B. Tech. in Robotics and Artificial Intelligence(Lateral Entry)
• B.Tech. in CSE (Cloud, DevOps and Fullstack Development) in Association with Xebia (Lateral Entry)
• B.Tech. in Electronics and Communication Engineering (Lateral Entry)
• B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) in Association with Xebia (Lateral Entry)
• B.Tech. in Mechanical Engineering
• B.Tech. in Electronics and Communication Engineering
• B.Tech. in Electronics and Communication Engineering (VLSI Design and Verification) (Lateral Entry)
• B.Tech. in CSE (Cyber Security and Threat Intelligence) in Association with Quick Heal (Lateral Entry)
• B.Tech. in Mechanical Engineering (Smart Manufacturing and Automation) (Lateral Entry)
• B.Tech. in Electronics and Communication Engineering (VLSI Design and Verification)

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 ₹8.64 lakh – ₹12.36 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 MRIIRS Faridabad compare with other colleges offering B.Tech in and around Faridabad?