Placement Statistics Overview
The placement statistics of Innovative College of Science and Technology Udaipur reflect a consistently high success rate in securing employment for its graduates. Over the past five years, the college has maintained an average placement percentage exceeding 90%, with some years reaching up to 95%. This performance underscores the strong industry recognition of the college's programs and the value that employers place on its graduates.
| Year | Highest Package (INR) | Average Package (INR) | Median Package (INR) | Placement Percentage (%) | PPOs Received |
|---|---|---|---|---|---|
| 2024 | 18,00,000 | 6,50,000 | 6,00,000 | 92.0 | 78 |
| 2023 | 16,50,000 | 6,20,000 | 5,80,000 | 90.0 | 70 |
| 2022 | 15,00,000 | 6,00,000 | 5,50,000 | 88.0 | 65 |
| 2021 | 14,00,000 | 5,80,000 | 5,30,000 | 85.0 | 60 |
| 2020 | 13,00,000 | 5,50,000 | 5,00,000 | 82.0 | 55 |
Top Recruiting Companies
The college attracts top-tier companies across various sectors including IT, core engineering, and finance. These firms recognize the quality of education and skillset developed at the institution:
- Google: Offers roles in software engineering, data science, and machine learning.
- Microsoft: Provides opportunities in cloud computing, AI development, and application architecture.
- Amazon: Hires for roles in software development, operations research, and logistics optimization.
- Infosys: Offers positions in consulting, system integration, and product development.
- Tata Consultancy Services (TCS): Recruits for IT services, automation projects, and digital transformation initiatives.
- Wipro: Engages students for software engineering, QA testing, and cloud solutions.
- IBM: Provides opportunities in artificial intelligence, data analytics, and cybersecurity.
- Cognizant: Offers roles in digital transformation, IT consulting, and software development.
- Capgemini: Hires for systems integration, automation, and business process outsourcing.
- Accenture: Recruits for strategy consulting, digital innovation, and technology services.
- Oracle: Offers roles in database administration, cloud computing, and enterprise software development.
- Deloitte: Provides positions in management consulting, financial advisory, and data analytics.
- Tech Mahindra: Engages students for IT services, automation, and digital transformation.
- Mindtree: Offers roles in software engineering, QA testing, and enterprise solutions.
- HCL Technologies: Recruits for software development, cloud computing, and cybersecurity.
Sector-wise Analysis of Placement Trends
The sector-wise analysis reveals that IT remains the dominant domain for placements, with 60% of graduates entering roles in software engineering or data science. Core engineering sectors such as electronics, mechanical, and civil engineering also offer significant opportunities, though at a lower percentage (15%). Finance and consulting roles are increasingly popular among students with strong analytical skills, comprising about 20% of placements.
IT Sector
Students entering the IT sector often pursue roles in software development, AI research, data analytics, and cloud computing. The growing demand for digital transformation has led to increased opportunities at global tech giants like Google, Microsoft, and Amazon. Many students also find employment with Indian IT firms such as TCS, Wipro, and Infosys.
Core Engineering
Graduates specializing in core disciplines such as electrical, mechanical, or civil engineering are typically hired by companies involved in infrastructure projects, manufacturing, or public utilities. Firms like BHEL, ISRO, and Indian Railways often recruit from the college for roles in design, testing, and project management.
Finance
With increasing interest in financial technology (FinTech), students with strong quantitative backgrounds are being hired by banks, investment firms, and fintech startups. Roles include risk analysis, algorithmic trading, and financial modeling.
Job Profiles Offered
The types of job profiles offered to students vary depending on their specialization:
- Data Scientist: Analyze large datasets, build predictive models, and derive actionable insights for business decisions.
- Software Engineer: Develop software applications, design systems architecture, and collaborate with cross-functional teams.
- Machine Learning Engineer: Create machine learning models that can adapt to new data and improve over time.
- Product Manager: Lead product development cycles, define feature sets, and align technical capabilities with user needs.
- Research Analyst: Conduct research in emerging technologies, publish findings, and contribute to academic or industry advancements.
- System Administrator: Manage network infrastructure, ensure system security, and maintain operational efficiency of computing systems.
- DevOps Engineer: Implement continuous integration and deployment pipelines to streamline software delivery processes.