Placement Statistics
| Year | Highest Package (Domestic) | Average Package | Median Package | Placement Percentage | PPOs Received |
|---|
| 2023 | 1200000 | 650000 | 620000 | 93.0% | 45 |
| 2022 | 1100000 | 620000 | 590000 | 91.0% | 42 |
| 2021 | 1050000 | 590000 | 560000 | 90.0% | 38 |
| 2020 | 980000 | 560000 | 530000 | 89.0% | 35 |
| 2019 | 920000 | 530000 | 500000 | 87.0% | 32 |
Top Recruiting Companies
- Google: Offers roles such as Data Scientist, Machine Learning Engineer, and Business Intelligence Analyst.
- Microsoft: Provides positions in Software Development Engineer (SDE), Data Analyst, and AI Researcher roles.
- Amazon Web Services (AWS): Recruits for roles like Data Engineer, Cloud Solutions Architect, and Machine Learning Scientist.
- IBM: Hires for positions including Data Scientist, Analytics Consultant, and Data Visualization Specialist.
- Accenture: Offers opportunities in Business Analytics, Data Mining Analyst, and Digital Transformation Consultant roles.
- Deloitte: Recruits for roles like Data Analyst, Management Consultant, and Risk Analyst.
- Capgemini: Provides positions such as Data Engineer, Business Intelligence Developer, and Analytics Manager.
- TCS: Offers roles in Data Scientist, Machine Learning Specialist, and Software Engineer (Analytics).
- Infosys: Hires for positions including Data Analyst, Business Intelligence Consultant, and AI/ML Engineer.
- Zoho: Recruits for roles like Data Analyst, Business Intelligence Developer, and Product Manager.
Sector-Wise Analysis
The demand for data analytics professionals spans multiple sectors, each with distinct characteristics and growth patterns:
- IT/Software: Dominated by tech giants like Google, Microsoft, and Amazon, offering roles in product development, AI research, and cloud computing.
- Core Engineering: Companies such as Tata Motors and BHEL require data analytics for predictive maintenance, supply chain optimization, and quality control.
- Finance: Banks and fintech firms employ data analysts for fraud detection, risk assessment, and algorithmic trading strategies.
- Consulting: Management consulting firms like McKinsey and BCG utilize data analytics to provide strategic insights and operational improvements.
- Analytics: Specialized analytics firms offer roles in business intelligence, customer segmentation, and marketing optimization.
- PSUs: Public sector units like NTPC and ONGC use data analytics for energy forecasting, asset management, and environmental monitoring.
Internship Season
The internship season begins in early summer, typically around May, and extends through August. During this period, students are matched with companies based on their interests, skills, and availability. The university provides a platform for students to connect with potential employers and facilitates communication between students and recruiters.
Historical stipend data shows that internships at top-tier companies offer competitive compensation packages:
- Highest Stipend: 200000 INR/month
- Average Stipend: 120000 INR/month
- Median Stipend: 100000 INR/month
Internship opportunities are not limited to domestic companies; many students secure internships abroad, particularly in Silicon Valley and European tech hubs. The university maintains partnerships with international institutions that facilitate these global experiences.
