Galgotias University

Across all courses, Galgotias University reports a ₹5.4 LPA average package and ₹60 lakh highest package for 2026, with 5,500+ offers from 1,200+ recruiting organizations. 

Galgotias University seems to offer students several ways to explore app development beyond regular coursework. Students can work on mobile-app projects, participate in hackathons and tech activities, and explore technologies such as Swift and Apple's iOS ecosystem.

What I like is that students can use these opportunities to build actual projects for their portfolios instead of limiting their learning to classroom theory. For CSE students who are interested in app development, it can be a good way to experiment, collaborate with peers, and gradually turn ideas into working apps. 

For students interested in app development, experimenting with technologies like Swift and turning classroom concepts into working projects can be a good addition. It shows both technical knowledge and the ability to actually build something useful.

The NVIDIA Supercomputing and AI Lab at Galgotias University gives students valuable hands-on exposure to AI, machine learning, deep learning, GPU computing, data analytics, and computer vision projects. Students can apply classroom concepts to practical problems, experiment with advanced computing technologies, and explore research-oriented projects. Overall, it is a useful facility for CSE and AI/ML students looking to strengthen their technical and project experience.

Galgotias University offers academics supported by laboratories, projects, technical activities, and workshops. Faculty experience can vary across departments. Campus life includes clubs, sports, cultural events, and competitions, while hostels provide on-campus accommodation. For B.Tech, it can be worth considering after comparing fees, branch, placements, facilities, and personal priorities.

For CSE/IT, the placement scenario at Galgotias University seems fairly active, with companies from IT, consulting, and other sectors visiting for recruitment. The opportunities are good, but students' skills, coding practice, and interview preparation make a big difference.

Students get support through aptitude training, communication sessions, mock interviews, resume guidance and placement-focused activities. It can be quite helpful if you actively participate and prepare alongside it.

The main difference lies in each track's area of focus. AI/ML centres on artificial intelligence and machine learning, Data Science focuses on analysing and modelling data, Cybersecurity covers digital security and ethical hacking, while Full Stack Development is more focused on building web and software applications. All of these specialisations include core CSE concepts, so the best choice depends on the field you genuinely want to explore.