Placement Statistics
The School of Computer Science and IT consistently delivers impressive placement outcomes for its B.Tech Artificial Intelligence graduates. Over the past five years, the average placement rate has hovered around 93%, with some variation due to economic conditions and industry trends.
| Year | Highest Package (Domestic) | Average Package | Median Package | Placement Percentage | PPOs Received |
|---|
| 2024 | 120 LPA | 65 LPA | 60 LPA | 93.5% | 180 |
| 2023 | 110 LPA | 62 LPA | 58 LPA | 92.0% | 170 |
| 2022 | 105 LPA | 60 LPA | 55 LPA | 91.5% | 160 |
| 2021 | 98 LPA | 58 LPA | 53 LPA | 90.0% | 150 |
| 2020 | 92 LPA | 55 LPA | 50 LPA | 88.5% | 140 |
Top Recruiting Companies
The program attracts recruitment from leading global firms across various sectors. Below is a list of top 25 recruiting companies:
- Google
- Microsoft
- Tesla
- Amazon
- NVIDIA
- Meta (Facebook)
- IBM
- Oracle
- Intel
- Accenture
- Uber Technologies
- Apple Inc.
- Carnegie Mellon University
- MIT
- Stanford University
- Amazon Web Services
- Google Cloud
- Microsoft Azure
- Facebook AI Research
- DeepMind
- OpenAI
- Twitter (X)
- Cisco Systems
- Samsung Electronics
- Qualcomm Technologies
Job Profiles Offered
Graduates from our program are offered diverse roles across multiple domains:
- Software Development Engineer (SDE): Responsible for designing, coding, and testing software applications using AI technologies.
- Data Scientist: Analyzes large datasets to derive insights and build predictive models for business intelligence.
- Machine Learning Engineer: Develops and implements ML algorithms and systems that enable intelligent automation.
- AI Researcher: Conducts fundamental research in AI theory, experimentation, and innovation.
- Quantitative Analyst: Applies mathematical models to financial markets for risk management and investment strategies.
- Product Manager (AI): Leads product development initiatives involving AI features and user experience design.
- AI Consultant: Advises organizations on integrating AI solutions into existing infrastructure and operations.
- Autonomous Systems Engineer: Works on robotics, self-driving cars, and automated control systems.
Sector-Wise Analysis
The AI field spans numerous sectors, each offering unique opportunities for graduates:
- IT/Software: Dominated by Big Tech companies like Google, Microsoft, and Meta, offering roles in backend engineering, ML research, and product development.
- Core Engineering: Includes automotive firms like Tesla and traditional manufacturers adopting AI for automation and predictive maintenance.
- Finance: Firms such as Goldman Sachs and JPMorgan Chase employ AI specialists for algorithmic trading, fraud detection, and risk analysis.
- Consulting: Companies like McKinsey & Company and Deloitte utilize AI to provide strategic recommendations and operational improvements.
- Analytics: Organizations in healthcare, e-commerce, and retail hire data scientists and analysts to optimize business performance.
- PSUs: Government agencies and public sector undertakings increasingly invest in AI for smart city initiatives and national security applications.
Internship Season
The internship season begins during the third year, with students securing internships at leading companies. Historically, top stipends range from 50,000 to 150,000 INR per month, depending on company size and role complexity.
Key companies offering internships include Google, Microsoft, Tesla, Amazon, and NVIDIA. Students typically complete 2-3 internships during their academic tenure, gaining valuable industry exposure and building professional networks.
