Average infrastructure, supportive teachers, decent placements, great location, & good campus life.
Placements: Batch 2021–25 AI & Data Science. Around 60–65% of students get placed through on-campus and off-campus drives. The highest package is about 10 LPA, the lowest around 3 LPA, and the average is about 5–6 LPA. Recruiters include TCS, Infosys, Accenture, Wipro, Cognizant, and some startups. Around 45–50% of students have internships, mostly self-applied at IT companies, startups, and data firms. Top roles offered are Software Developer, Data Analyst, AI/ML Trainee, Business Analyst, and IT Engineer.
Infrastructure: For AI & Data Science, the infrastructure is decent. Classrooms are big and airy. Most rooms have projectors, but not all are smart classrooms. Some rooms look old, but they are comfortable enough to study in. Computer labs are available for coding, data, and AI subjects. Sometimes systems or the internet become slow, especially when many students use them at the same time, but work still gets done. Wi-Fi is available on campus. Speed is average. It works fine for basic use, but is not always very fast. The library is one of the best parts. There is no hostel.
Faculty: Most teachers in the AI & Data Science department are helpful and supportive. Many are well-qualified and have good subject knowledge. Some explain concepts very clearly and are always ready to clear doubts, even after class. The curriculum covers important subjects like programming, data structures, machine learning, data analytics, AI basics, databases, and project work. To be job-ready, students must focus on practical skills. Semester exams are moderate. They are not very easy, but not too difficult either. The pass percentage is quite good. Around 80–90% of students pass if they are regular in their studies.
Other: I chose AI & Data Science because it is a growing field with good future scope. The course is modern and in-demand, with a good mix of coding, data, and AI subjects. Projects help in understanding real-life applications. There is a need for more practical training and hands-on sessions, better lab systems, faster internet, more companies for core AI/Data roles, and more internship support from the college. The college has cultural fests, technical events, and competitions. Students get chances to participate in tech fests, cultural programs, and sports events. The campus crowd is mixed. You will find serious students, fun-loving students, and everything in between. Overall, the environment is friendly. Scholarships are available for government category students, minority students, and economically weaker students. There are sports, cultural activities, clubs, and competitions.
How can I get into Rizvi College of Engineering, Mumbai for UG/PG courses? Am I eligible for admission?