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University of Hyderabad Placements offer diverse opportunities for students across disciplines. With strong recruiter, placement support, and industry partnerships, students gain promising career paths.
The School of Computer & Information Sciences (SCIS) at University of Hyderabad has been successful in achieving great recruitment outcomes, with top technology or product-based companies recruiting students.
For its main PG programs, students have been in placements with some serious competitive salary packages. This confirms the research activity of SCIS students, with relevance to industry and a placement support ecosystem.
Program | Students Placed | Lowest Salary (in LPA) | Highest Salary (in LPA) |
Integrated M.Tech (CS) | 20 | ₹7.5 | ₹38 |
M.Tech (CS) | 14 | ₹5.4 | ₹46 |
M.Tech (AI) | 8 | ₹9 | ₹17 |
MCA | 27 | ₹4.75 | ₹15 |
Total | 69 | ₹4.75 | ₹46 |
The salary trends outlined year by year show just how competitive and lucrative placements now are at SCIS, UoH. Looking at median, lowest, and above median salary packages tells an interesting story about the upward movement associated with placements and the increasing confidence of the industry regarding new talent leaving the institution.
Academic Year | Total Students Placed | Lowest Salary (in LPA) | Highest Salary (in LPA) |
2022–23 | 131 | ₹3.5 | ₹47.47 |
2023–24 | 55 | ₹3.5 | ₹17.89 |
2024–25 | 69 | ₹4.75 | ₹46 |
Visit upGrad’s University of Hyderabad Overview Page to get a complete snapshot of the institute, from its national and global rankings, available scholarships, admission process, and program highlights to campus life, and what it truly means to be a part of the University of Hyderabad.
The University of Hyderabad is known for its strong academic environment, research-driven programs, and skilled graduates. Its placement cell maintains strong corporate relationships, ensuring students are industry-ready. The diverse talent pool and emphasis on practical learning make it a preferred destination for companies across multiple sectors.
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The above statistics depend on various factors and individual results may vary. Past performance is no guarantee of future results.
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