Artificial Intelligence

The VTU BE cutoff 2025 was released for admission to various BE course specialisations for multiple categories under both the All India and Home State quota. 

The cutoff for the BE in Artificial Intelligence and Machine Learning  ranged from 14044 to 109296 for the General AI category. Among all the colleges offeering this course, the hardest for admission was Ramaiah Institute of Technology. Students can refer to the table below to know the round 1 and last round cutoff ranks for this course and category. 

Note: This is the cutoff for the General AI category for the BE AI and ML course; other categories, rounds, specialisations, etc. will have different cutoff accordingly.

The specialisations in AI and Data Science offered by Shri Ramswaroop Memorial University (SRMU) for the CSE/related programmes contribute positively towards placements but like any institution, their effectiveness depends on how the student leverages them.

Why the specialisations help:

1. SRMU has defined programmes such as B.Tech in CSE (Artificial Intelligence & Machine Learning) and BCA in Data Science & Artificial Intelligence, where the curriculum emphasises emerging technologies (e.g., neural networks, deep-learning, big data, computer vision) and hands-on labs. 

2. The placement cell at SRMU reports strong efforts: partnerships with industry, placement-assistance training and a claimed 90 % placement rate in CMM level-5 companies. 

3. For students specialising in AI/Data Science, the domain itself is in demand, which adds value to their CV and improves chances of being recruited for data-/AI-focused roles.

Why the specialisations are moderately effective (and what to watch):

1. While the highest packages at SRMU have gone up (e.g., one report shows a the highest package of ₹30 LPA in 2025) the average package remains modest  for many programmes.

2. The placement statistics vary significantly by branch, batch, student performance and actual uptake of internship/project experience which are critical in AI/Data Science roles.

3. The specialisation alone does not guarantee placement in top companies or high salary: students must build strong programming, analytics, machine learning skills, project work, internships and soft skills to stand out
   In short, SRMU's AI & Data Science specialisations provide a good foundation and reasonable placement support, especially if the student actively engages with labs, internships and industry aligned projects. For excellent placements (top companies, high salary), the student will need to go the extra mile (strong performance, strong portfolio, relevant internships) rather than rely solely on the specialisation label.