Placement Statistics Overview
The Data Science program at SCHOOL OF COMPUTER APPLICATION SRI SATYA SAI UNIVERSITY OF TECHNOLOGY AND MEDICAL SCIENCES SSSUTMS consistently achieves excellent placement outcomes, with a placement rate exceeding 90% over the past five years. The program's graduates are highly sought after by leading organizations due to their strong technical skills and industry-ready mindset.
Placement Data (Last 7 Years)
| Year | Highest Package (Domestic) | Highest Package (International) | Average Package | Median Package | Placement Percentage | PPOs Received |
|---|---|---|---|---|---|---|
| 2025 | 850,000 | 1,200,000 | 350,000 | 320,000 | 95% | 45 |
| 2024 | 780,000 | 1,100,000 | 320,000 | 290,000 | 92% | 40 |
| 2023 | 720,000 | 1,000,000 | 290,000 | 260,000 | 91% | 38 |
| 2022 | 680,000 | 950,000 | 270,000 | 240,000 | 89% | 35 |
| 2021 | 630,000 | 850,000 | 250,000 | 220,000 | 87% | 32 |
| 2020 | 600,000 | 800,000 | 230,000 | 200,000 | 85% | 28 |
| 2019 | 550,000 | 750,000 | 210,000 | 180,000 | 83% | 25 |
Top Recruiting Companies
The program attracts a diverse range of top-tier companies from various sectors, reflecting the broad applicability of data science skills. The following are among the leading recruiters:
- Google - Data Scientist, Machine Learning Engineer, Product Analyst
- Microsoft - AI Engineer, Data Analyst, Cloud Solutions Architect
- Amazon - Data Scientist, SDE-1, Business Intelligence Consultant
- IBM - Data Scientist, Research Analyst, AI Specialist
- Accenture - Data Analyst, Analytics Consultant, Digital Transformation Lead
- Deloitte - Data Scientist, Risk Analyst, Business Intelligence Analyst
- Oracle - Data Engineer, Database Analyst, Cloud Developer
- SAP - Data Analyst, Business Intelligence Developer, Analytics Consultant
- Adobe - Data Scientist, Product Manager, Marketing Analyst
- Tesla - AI Engineer, Data Analyst, Automation Specialist
- Goldman Sachs - Quantitative Analyst, Risk Modeler, Financial Data Analyst
- JPMorgan Chase - Data Scientist, Algorithmic Trader, Risk Analyst
- LinkedIn - Data Scientist, Product Analyst, Marketing Data Analyst
- Uber - Data Scientist, Machine Learning Engineer, Business Intelligence Analyst
- Meta - Data Scientist, AI Researcher, Platform Engineer
Sector-Wise Analysis
The job market for data science graduates spans across multiple sectors, each offering unique opportunities and challenges.
IT/Software Sector
This sector dominates the recruitment landscape for data science professionals, with companies like Google, Microsoft, Amazon, and Meta offering roles such as Data Scientist, Machine Learning Engineer, and AI Specialist. These positions typically offer high salaries, growth potential, and exposure to cutting-edge technologies.
Core Engineering
Companies in core engineering fields, including automotive, aerospace, and manufacturing, increasingly rely on data science for predictive maintenance, supply chain optimization, and product development. Tesla, Boeing, and Siemens are among the key recruiters in this domain.
Finance Sector
The finance industry is one of the fastest-growing sectors for data science roles. Banks like Goldman Sachs and JPMorgan Chase employ data scientists for algorithmic trading, risk modeling, credit scoring, and fraud detection. These roles often require a strong foundation in quantitative methods and financial markets.
Consulting
Management consulting firms such as McKinsey & Company, BCG, and Deloitte frequently hire data science graduates to advise clients on data-driven strategies, operational efficiency, and digital transformation initiatives. These roles combine analytical rigor with strategic thinking.
Analytics
Specialized analytics companies like Palantir, Tableau, and Qlik provide platforms and tools for data visualization, reporting, and decision support. Graduates often find opportunities as product analysts, data engineers, or platform specialists in these organizations.
PSUs
Public sector undertakings (PSUs) such as Indian Oil Corporation, National Thermal Power Corporation, and BHEL also recruit data science professionals for roles in resource optimization, demand forecasting, and smart grid management. These positions offer job security and competitive benefits.
Internship Season
The internship season is a critical phase of the program, providing students with real-world experience and exposure to industry practices. The internship process typically begins in the summer of the third year, lasting 6-8 weeks.
Companies like Google, Microsoft, Amazon, and IBM offer internships through campus recruitment drives. Students are selected based on their academic performance, project work, and interview performance.
Internship Stipend Trends
| Company | Highest Stipend (INR) | Average Stipend (INR) |
|---|---|---|
| 80,000 | 65,000 | |
| Microsoft | 70,000 | 55,000 |
| Amazon | 65,000 | 50,000 |
| IBM | 50,000 | 40,000 |
| Accenture | 45,000 | 35,000 |
| Deloitte | 40,000 | 30,000 |
| SAP | 35,000 | 28,000 |
| Oracle | 30,000 | 25,000 |
| Adobe | 32,000 | 27,000 |
| Tesla | 40,000 | 35,000 |
Internships play a crucial role in shaping students' career paths and often lead to full-time job offers. Many alumni report that their internships were instrumental in securing their first jobs post-graduation.