I got cse core in lpu, cse in ai and ml in vit chennai and ece in SRM. Since I am interested in cse core and don't want to do specialization couse ,I choose lpu. But when I told people what i choose ,people start to criticizing the cse core option as well as the college lpu. Which makes me rethink of my decision as I did a little bit of research on lpu cse alumni from linkdin,lpu placement. Is their hate justified?Please guide me

Ans: Lovely Professional University’s B.Tech in Computer Science & Engineering (CSE) is NBA-accredited and NAAC A++-rated, featuring a broad curriculum in data structures, algorithms, operating systems, software engineering and elective streams in AI/ML, cybersecurity and cloud computing delivered through over 47 specialized labs. Its School of Computer Science and Engineering achieved an 88.12% placement rate in 2024 and facilitated more than 6,000 offers across 2,225 recruiters, with an average package of ?7.92 LPA for the top quartile—testament to strong industry partnerships with Google, Microsoft, Apple, Bosch and BoschCapgemini. However, the annual CSE intake of approximately 480 seats scales to a batch strength exceeding 2,000 due to multiple specializations; alumni and student forums on LinkedIn and ReviewAdda note that intense competition limits Tier-I placements to roughly 13% of candidates, underscoring the need for proactive upskilling, personal projects and coding practice to secure top roles.

In contrast, VIT Chennai’s B.Tech in CSE (AI & ML) is A++ NAAC-accredited, with a focused AI-centric curriculum covering machine learning, neural networks, computer vision and natural language processing. Its placement cell reported a 93% success rate in 2024–25, generating 3,160 offers (2,192 unique) from over 632 recruiters including Microsoft, Google and Adobe, and an average package around ?10 LPA facilitated by the V-NEST startup and research foundation’s industry-driven projects. The program’s smaller cohort ensures more personalized training and direct access to AI/ML labs and faculty-led research.

Comparatively, core CSE at LPU provides broader foundational knowledge and flexibility to pursue specializations later, whereas VIT’s AI & ML track offers early domain depth and stronger average remuneration. Criticism of LPU often stems from large batch sizes, perceived dilution of individual attention and competitive placement dynamics, yet official reports affirm robust placement percentages and recruiter diversity. Given your preference for a core CSE path, LPU’s established infrastructure, global collaborations and high placement percentage validate your choice when complemented by self-driven skill development.

Recommendation: Accepting LPU’s CSE core program aligns with your interests in comprehensive computer science fundamentals and offers strong placement support; mitigate batch-size competition through targeted certifications, internships, and coding projects. If specialization in AI & ML and higher average packages are paramount, consider VIT Chennai, balancing your core preference against domain-specific opportunities. All the BEST for Admission & a Prosperous Future!

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