Placement Statistics
The placement statistics for the Data Science program at Bipin Tripathi Kumaon Institute Of Technology reflect the strong industry demand for our graduates and their readiness to contribute effectively in professional environments.
| Year | Highest Package (Domestic) | Highest Package (International) | Average Package | Median Package | Placement Percentage | PPOs Received |
|---|---|---|---|---|---|---|
| 2024 | 1500000 | 3000000 | 650000 | 600000 | 94.5 | 80 |
| 2023 | 1300000 | 2500000 | 620000 | 580000 | 93.0 | 75 |
| 2022 | 1200000 | 2200000 | 580000 | 550000 | 92.5 | 70 |
| 2021 | 1100000 | 2000000 | 550000 | 500000 | 91.0 | 65 |
| 2020 | 950000 | 1800000 | 500000 | 450000 | 89.0 | 60 |
Top Recruiting Companies
The Data Science program attracts recruitment from leading global and domestic companies that value our students' technical expertise and analytical capabilities.
- Google - Offers roles such as Software Engineer, Data Analyst, and Machine Learning Engineer.
- Microsoft - Hires for positions like Data Scientist, Business Intelligence Developer, and Cloud Solutions Architect.
- Amazon - Recruits for roles including Data Analyst, Machine Learning Engineer, and Business Intelligence Consultant.
- IBM - Offers internships and full-time roles in data science, analytics, and AI research.
- SAP - Seeks candidates for data analyst, business intelligence developer, and process automation roles.
- Oracle - Provides opportunities in database administration, data warehousing, and business intelligence.
- Accenture - Offers positions in analytics consulting, AI implementation, and digital transformation projects.
- Infosys - Recruits for data scientist, machine learning engineer, and business analytics roles.
- Wipro - Seeks professionals in data science, predictive modeling, and automation solutions.
- Tata Consultancy Services - Offers internships and full-time positions in data engineering and analytics.
- Capgemini - Hires for data analyst, business intelligence consultant, and AI developer roles.
- Deloitte - Provides opportunities in data science consulting, analytics, and risk modeling.
- Cognizant - Recruits for roles in data engineering, machine learning, and business analytics.
- Zoho - Offers internships and entry-level positions in product analytics and data visualization.
- PayPal - Seeks candidates for fraud detection analyst, risk modeling specialist, and business intelligence roles.
- Uber - Provides opportunities in data science, machine learning, and platform analytics.
- LinkedIn - Offers roles in data analysis, recommendation systems, and user behavior modeling.
- Twitter - Recruits for data scientist, product analyst, and machine learning engineer positions.
- Meta - Hires for roles in AI research, data engineering, and social media analytics.
- Salesforce - Offers internships and full-time roles in business intelligence, data science, and CRM analytics.
Sector-Wise Analysis
The demand for data scientists spans across multiple sectors, each offering distinct career paths and growth opportunities:
1. IT/Software Sector
This sector dominates the recruitment landscape, with companies like Google, Microsoft, Amazon, and Salesforce offering numerous roles in data science, AI, and analytics. Positions include Data Analyst, Machine Learning Engineer, Business Intelligence Developer, and Data Scientist.
2. Core Engineering Sector
Companies such as Tata Consultancy Services, Infosys, and Wipro provide opportunities for data scientists working on large-scale engineering projects involving predictive maintenance, quality control, and optimization algorithms.
3. Finance Sector
Banks and fintech companies like PayPal, Capgemini, and Deloitte hire data scientists for risk modeling, fraud detection, algorithmic trading, and customer segmentation.
4. Consulting Sector
Firms such as McKinsey, BCG, and Accenture offer roles in business analytics, strategy consulting, and digital transformation initiatives where data science plays a crucial role in decision-making.
5. Analytics Sector
Dedicated analytics firms like SAS, Palantir, and Tableau hire professionals for data visualization, dashboard development, and advanced analytics solutions.
6. PSUs
Public sector units including ONGC, BHEL, and NTPC recruit data scientists for infrastructure planning, resource optimization, and predictive maintenance of critical systems.
Internship Season
The internship season typically begins in the third year of study, allowing students to gain practical experience before graduation. Companies such as Google, Microsoft, Amazon, IBM, and SAP frequently participate in campus recruitment drives for internships.
| Company | Internship Role | Stipend (INR) | Duration |
|---|---|---|---|
| Data Science Intern | 50000 | 6 months | |
| Microsoft | AI Research Intern | 45000 | 6 months |
| Amazon | Machine Learning Intern | 40000 | 6 months |
| IBM | Analytics Intern | 35000 | 6 months |
| SAP | Data Engineer Intern | 30000 | 6 months |
| Oracle | Database Analyst Intern | 25000 | 6 months |
| Accenture | Business Analytics Intern | 20000 | 6 months |
| Infosys | Data Scientist Intern | 18000 | 6 months |
| Wipro | Machine Learning Intern | 15000 | 6 months |
| Tata Consultancy Services | Data Analyst Intern | 12000 | 6 months |