B.Tech in Computer Science with Artificial Intelligence and Machine Learning (AIML) at GLA University

GLA University, Mathura, Uttar Pradesh, offers B.Tech in Computer Science with Artificial Intelligence and Machine Learning (AIML) as a 4-year undergraduate degree. The total fee on record is ₹5.44 lakh – ₹14.14 lakh, which works out to about ₹1.36 lakh a year.

Expect to spend most of your time on 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.

GLA University is a other institute, founded in 2010. This page brings together what is on record for this course at GLA University — 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 GLA University for the current semester-wise plan.

The fee figures on record for this course are below. Fees are for the whole course unless marked otherwise, and apply to B.Tech programmes at GLA University as a group.

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

To get into B.Tech in Computer Science with Artificial Intelligence and Machine Learning (AIML), 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 GLA University are: X: 0.0, XII: 50.0, 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 GLA University's prospectus for the exact cut-off this year.

In most years, admission follows these steps:

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 GLA University on its website (gla.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.

The most recent placement data we hold (2023) show an average package of ₹6.3 lakh and a highest package of ₹55 lakh at GLA University. 3,322 students were placed that year. These are college-wide figures, not only for this specialisation.

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

GLA University runs 30 B.Tech specialisations in all. If this one is not quite right, compare it with:

• B.Tech in Biotechnology
• B.Tech. (Hons.) in Computer Science and Engineering in Artificial Intelligence and Analytics in partnership with Intel and NEC
• B.Tech. in Computer Science and Engineering (Cyber Security and Forensic) in academic collaboration with IBM
• B.Tech. in Electrical Engineering
• B.Tech. in Computer Science and Engineering (Artificial Intelligence and Internet of Things) in academic collaboration with DCS
• B.Tech. in Computer Science and Engineering (Lateral Entry)
• B.Tech. in Civil Engineering
• B.Tech. in Mechanical Engineering (Smart Manufacturing) in academic collaboration with DCS
• B.Tech. in Electronics and Communication Engineering
• B.Tech. in Computer Science and Engineering
• B.Tech. in Computer Science and Engineering (Data Analytics) in academic collaboration with IBM
• B.Tech. in Mechanical Engineering
• B.Tech. in Computer Science and Engineering (Cloud Computing and Virtualization) in academic collaboration with IBM
• B. Tech (Hons.) in Computer Science and Engineering
• B. Tech in Electronics & Computer Science Engineering
• B.Tech. in Electrical and Electronics Engineering
• B.Tech. in Electronics and Communication Engineering (Lateral Entry)
• B.Tech. in Mechanical Engineering (Computer Science)
• B.Tech. in Civil Engineering (Computer Science)
• B.Tech. in Electrical Engineering (Lateral Entry)
• B.Tech. in Electronics and Communication Engineering (VLSI)
• B.Tech. in Mechanical Engineering (Mechatronics)
• B.Tech. in Mechanical Engineering (Lateral Entry)
• B.Tech. in Electrical Engineering (Computer Science)
• B.Tech in Electronics and Computer Engineering
• B.Tech. in Electronics and Communication Engineering (Computer Science)
• B.Tech. in Civil Engineering (Lateral Entry)
• B.Tech in Electrical Engineering (Electric Vehicle Technology)
• B.Tech. in Computer Science and Engineering (Block Chain Technology)

Ask yourself — and the college — these questions first:

• Are you genuinely interested in how machines learn from data? You will spend 4 years on it.
• Can you manage ₹5.44 lakh – ₹14.14 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 GLA University compare with other colleges offering B.Tech in and around Mathura?