Shri Ramswaroop Memorial University Lucknow Answered Questions

At SRMU, agricultural education goes beyond books. Students receive hands-on experience through modern laboratories, well-equipped research farms, and field-based training programmes like RAWE the Rural Agricultural Work Experience. The university follows the latest ICAR guidelines to ensure that students learn both traditional and modern farming techniques.Through exposure to precision farming, sustainable agriculture, and agribusiness management, SRMU prepares students to become future ready professionals and entrepreneurs. With industrial visits, expert lectures, and practical crop production training, students gain real-world knowledge that connects classrooms to the fields.In short, SRMU helps agriculture students grow with technology, innovation, and purpose  shaping them into the changemakers of tomorrow's farming world.

Yes, Shri Ramswaroop Memorial University (SRMU) is good for BCA and MCA in terms of skill development, placements, and live projects. The university focuses on practical learning through coding labs, internships, and real industry projects. Students get opportunities to improve their technical and communication skills. The placement cell is active and helps students get jobs in top companies. Overall, SRMU provides a good environment for learning and career growth in computer applications.

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: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. 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. 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):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.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.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 outIn 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.