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3-Year UG Program • NAAC A • UGC Recognised

B.Sc Computer Science

Sri Ramakrishna Mission Vidyalaya College of Arts and Science, Coimbatore

Key numbers

NAAC Grade

A (3.16)

NIRF Rank '24

#82

Total Programme Fee

₹1.35 L

Seat Intake

60

Placement Rate

65%

Investment

1.4L total

~₹0.5L per year

  • Annual Fee (Tuition & Labs)45,000per year

Are you eligible?

  • Class 12 Subjects

    Must have studied Mathematics, Physics and Chemistry.

  • Minimum Aggregate

    At least 50% in Class 12 (or equivalent).

  • Admission Mode

    Pure merit-based; no entrance exam required.

How the 3 Years Flow

  1. Year +1

    Programming Foundations

    Build logic with C, C++ and Java core syntax.

  2. Year +2

    Systems & Software Stack

    Dive into DBMS, Computer Networks, Web Technologies and Software Engineering.

  3. Year +3

    Projects & Placements

    Capstone work, campus recruitment and industry exposure.

Placement · 2025

Where graduates land

Placement rate

65%

Top recruiters

InfosysWiproTCSCognizantHCL
warning

Check the Fine Print Before You Apply

Our data confidence for this programme is 40%, so double-check current fees and placements on the official site. Also, the NIRF #82 rank is under the Commerce & Management category—not Science/CS specifically. Campus culture and lab infrastructure are best verified with current students.

The verdict

Worth considering

This is a budget-friendly, NAAC 'A' graded B.Sc CS option in Coimbatore with in-campus hostel facilities and a scholarship track record. Placements are decent with mass-recruiting IT firms, but the average CTC hovers around ₹3.2 LPA and data completeness is only 40%. Ideal if you want a low-debt undergrad degree and plan to upskill independently, but verify the latest placement trends directly with the college.

Matches what you said

  • Affordable 3-year CS degree under ₹1.5L total
  • On-campus hostel and scholarship support
  • Entry-level IT service company placements

Doesn't match

  • High starting salary or product-role exits
  • Strong NIRF science-stream ranking
  • Deep AI/ML or research-focused curriculum
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