"Explore CSE in Artificial Intelligence & Machine Learning at SVIT – Bangalore’s Emerging AI Powerhouse"

Overview & Accreditation

Launched in 2021–22 under VTU affiliation and AICTE approval, the program doubled its intake from 60 to 120 students in 2022–23.

Headed by Dr. T.G. Manjunath, with over two decades of teaching and research experience, supported by a faculty with 10+ years in academia and strong industry exposure.

SVIT itself was established in 2008 and holds AICTE, NBA, CSE in artificial Intelligence and machine learning and NAAC accreditation, placing it among the respected private engineering colleges in Karnataka.

Academic & Learning Approach

Curriculum follows Outcome-Based Education aligned with NEP-2020, covering AI, ML, and Deep Learning fundamentals.

Equipped with cutting-edge labs, frequent coding workshops, hackathons, guest lectures, top ai college in bangalore and MOUs for stipend-based internships.

Strong emphasis on hands-on projects, hackathons, IEEE engagement, conference participation, and skill development for placements.

Industry Connect & Placements

SVIT enjoys 95% placement rates across its engineering programs, with recruitment from HCL, Wipro, IBM, Amazon, TCS, Cognizant, top ai and ml engineering college in bangalore and others.

The AI & ML department continues this trend via career mentorship, internship opportunities, ai & lm engineering college and active industry collaborations.

2. Why Choose AI & ML in Bangalore?

Bangalore = India’s Silicon Valley, hosting tech giants (Google, Microsoft, Amazon) and a vibrant startup scene focused on AI/ML.

Students benefit from internships, hackathons, conferences, and a strong ecosystem for real-world project experience .

3. Top AI & ML Engineering Colleges in Bangalore

Here’s how SVIT compares with leading peers:

Institution

Program Details

Highlights & Placements

IISc Bangalore

B.Tech Math & Computing; M.Tech AI/ML

World-class research, Cray supercomputer, top national/international collaborations

IIIT‑Bangalore

Integrated M.Tech; M.Tech AI specialization

Ranked among top 10 private tech universities, strong research and ICPC pedigree

RVCE

B.E. in CSE & AI & ML

₹45 LPA highest AI placement; strong academics, labs, hackathons

PES University

B.Tech CSE w/ AI & ML

₹36 LPA top package, reputed infrastructure and strong industry links

BMSCE

B.E. AI & ML

₹28 LPA highest, legacy institution, accredited and industry-ready

MSRIT

B.E. AI & ML

₹24 LPA top package; Nvidia labs, positive campus experience

DSCE, NHCE, NMIT, etc.

B.E. AI & ML

Packages ~₹18–22 LPA; strong labs and startup ecosystems

4. SVIT vs. the Pack

Strengths: Newer, specialized AI curriculum; strong faculty; hands-on and IEEE focus; excellent placements.

Compared to Leaders: SVIT is still emerging, while RVCE/PES/BMS/MSRIT boast significant placement packages and established reputation.

Unique Edge: SVIT combines AI-specific training with core CSE flexibility, ideal for future specialization or higher studies.

5. Key Considerations for Prospective Students

Legacy & Research: If leading-edge research and top-tier recognition matter, IISc and IIIT-B are unmatched.

Placements & Academics: RVCE, PES, BMSCE, best ai college in bangalore and MSRIT offer competitive placements, proven teaching quality, and strong AI labs.

SVIT's Appeal: A well-rounded, AI-specialized growing program with rapid faculty matureness and industry integration.

Branch Caution: Beware of purely marketing-driven AI branches—check curriculum rigor, math content, faculty specialization.

Final Verdict

SVIT’s CSE (AI & ML) is a promising and thoughtfully designed program, blending modern curriculum with practical exposure and placement support. It’s an excellent option—especially for students seeking program specialization from day one.

However, if access to elite research, highest placement potential, or long-standing institutional prestige is your top priority, consider IISc, IIIT‑B, RVCE, PES or BMSCE.

In all choices, scrutinize accreditation, faculty credentials, lab infrastructure, industry linkages, and real placement data to make an informed decision.