Placement Statistics Analysis
The placement statistics for the Computer Science Engineering program at Sai Nath University Ranchi have consistently demonstrated the excellence of the institution's educational offerings. Over the past five years, the placement rate has remained consistently high, with an average of 90.5% of students securing employment upon graduation. The highest package offered in recent years has been 12 lakhs per annum, while the average package stands at 5 lakhs per annum. These figures reflect the strong demand for graduates from this program in the IT industry.
Year | Highest Package (INR) | Average Package (INR) | Median Package (INR) | Placement Rate (%) | PPOs Received |
---|---|---|---|---|---|
2024 | 1200000 | 500000 | 450000 | 90.5 | 180 |
2023 | 1100000 | 480000 | 430000 | 89.0 | 165 |
2022 | 1000000 | 460000 | 410000 | 88.0 | 150 |
2021 | 950000 | 440000 | 390000 | 87.0 | 135 |
2020 | 900000 | 420000 | 370000 | 85.0 | 120 |
Top Recruiting Companies
The Computer Science Engineering program at Sai Nath University Ranchi attracts recruiters from leading technology companies across various domains of the IT industry. The top 20 recruiting companies include Microsoft, Google, Amazon, Oracle, Infosys, TCS, Wipro, Cognizant, Accenture, Tech Mahindra, HCL Technologies, L&T Infotech, Mindtree, Persistent Systems, Capgemini, Deloitte, IBM, Zoho, SAP, and Adobe. These companies offer a diverse range of job profiles including software engineer, data scientist, cybersecurity specialist, artificial intelligence engineer, cloud architect, and system analyst.
Sector-wise Analysis
The sector-wise analysis of placements for Computer Science Engineering graduates from Sai Nath University Ranchi reveals a strong preference for the IT sector. Approximately 60% of students secure jobs in the software development domain, while 20% opt for roles in cybersecurity and data science. The remaining 20% are distributed across various other sectors including finance, healthcare, and telecommunications. The trend indicates that students are increasingly seeking opportunities in emerging technologies such as artificial intelligence, machine learning, cloud computing, and Internet of Things (IoT).