Placement Statistics
The Business Analytics program at Beehive College has consistently achieved exceptional placement outcomes, reflecting the high quality of education and industry relevance of our curriculum. Over the past five years, the program has demonstrated strong performance in terms of placement rates, average packages, and industry participation.
Year | Highest Package (INR) | Average Package (INR) | Median Package (INR) | Placement Percentage | Number of PPOs |
---|---|---|---|---|---|
2024 | 850000 | 500000 | 480000 | 92.0 | 65 |
2023 | 800000 | 480000 | 460000 | 91.0 | 60 |
2022 | 750000 | 460000 | 440000 | 90.0 | 55 |
2021 | 700000 | 440000 | 420000 | 89.0 | 50 |
2020 | 650000 | 420000 | 400000 | 87.0 | 45 |
Top Recruiting Companies
Our graduates are highly sought after by leading organizations across multiple sectors. The following companies have consistently recruited from our program:
- Microsoft - Offers roles as Data Scientist, Business Analyst, and Product Manager
- Google - Recruits for positions in Analytics Engineering, Machine Learning Engineer, and Quantitative Researcher
- Amazon Web Services (AWS) - Hires for Data Analyst, Data Engineer, and Business Intelligence roles
- IBM - Offers opportunities in Data Science, Analytics Consulting, and AI Research
- Accenture - Recruits for Analytics Consultant, Data Analyst, and Business Intelligence roles
- Deloitte - Hires for Data Analyst, Business Intelligence Analyst, and Risk Analyst positions
- McKinsey & Company - Offers roles in Strategy Consulting, Analytics, and Business Intelligence
- PwC - Recruits for Data Analyst, Analytics Consultant, and Business Intelligence roles
- Oracle - Hires for Database Analyst, Data Scientist, and Business Intelligence Developer
- SAP - Offers positions in Analytics, Business Intelligence, and Data Management
- Salesforce - Recruits for Data Analyst, Business Intelligence Consultant, and CRM Analyst
- LinkedIn - Hires for Data Scientist, Product Analyst, and Business Intelligence roles
- Netflix - Offers positions in Data Science, Recommendation Systems, and Analytics
- Spotify - Recruits for Data Analyst, Business Intelligence Analyst, and Machine Learning Engineer
- Uber - Hires for Data Scientist, Business Intelligence Analyst, and Product Analytics roles
Sector-Wise Analysis
The demand for Business Analytics graduates spans across multiple sectors, each offering distinct career paths and growth opportunities:
IT/Software Sector
This sector represents the largest employer of Business Analytics graduates, with companies seeking professionals to develop algorithms, build data platforms, and drive product innovation. Roles include Data Scientist, Machine Learning Engineer, Software Developer, and Product Analyst.
Core Engineering Sector
Graduates find opportunities in engineering firms and manufacturing companies where analytics is used for process optimization, predictive maintenance, and quality control. Key roles include Process Engineer, Quality Analyst, and Operations Research Analyst.
Finance Sector
The finance industry offers diverse opportunities for analytics professionals, particularly in areas such as risk management, algorithmic trading, credit analysis, and regulatory reporting. Positions include Financial Analyst, Quantitative Researcher, Risk Analyst, and Investment Analyst.
Consulting Sector
Consulting firms actively recruit our graduates to help clients leverage data for strategic decision-making. Roles typically involve working on projects across various industries, focusing on performance improvement, digital transformation, and business intelligence.
Analytics Sector
Dedicated analytics companies provide specialized services for data processing, modeling, and insights generation. Our graduates often find roles as Data Analyst, Business Intelligence Developer, or Analytics Consultant in these organizations.
PSUs Sector
Public sector undertakings and government agencies increasingly rely on analytics for policy formulation, resource allocation, and operational efficiency. Opportunities exist in areas such as economic planning, public health analytics, and infrastructure development.
Internship Season
The internship season is a crucial component of the program, providing students with hands-on experience in real-world environments. Internships are typically offered during the summer break following the third year and can last from 2 to 6 months.
Companies that participate in our internship program include major corporations such as Microsoft, Google, Amazon, IBM, and Accenture. These internships provide students with exposure to cutting-edge technologies, industry practices, and mentorship from experienced professionals.
Company | Internship Duration | Highest Stipend (INR) | Average Stipend (INR) |
---|---|---|---|
Microsoft | 3-6 months | 120000 | 85000 |
3-6 months | 130000 | 90000 | |
Amazon Web Services (AWS) | 3-6 months | 110000 | 75000 |
IBM | 3-6 months | 95000 | 65000 |
Accenture | 3-6 months | 85000 | 60000 |
Deloitte | 3-6 months | 75000 | 55000 |
McKinsey & Company | 3-6 months | 100000 | 70000 |
PwC | 3-6 months | 70000 | 50000 |
Oracle | 3-6 months | 65000 | 45000 |
SAP | 3-6 months | 60000 | 40000 |
Alumni Success Stories
Our alumni have achieved significant success in their respective fields, contributing to the reputation and excellence of our program:
- Amit Sharma - Joined Microsoft as a Data Scientist after completing his internship. He was promoted to Senior Data Scientist within two years and now leads analytics initiatives for global clients.
- Neha Patel - Worked at Google during her internship and received an offer to join the company as a Machine Learning Engineer. She has contributed to multiple projects in recommendation systems and natural language processing.
- Rajesh Kumar - Joined Deloitte as a Business Intelligence Analyst and was recognized for his innovative approach to data visualization, leading to internal awards and promotions.
- Sneha Gupta - Completed an internship at McKinsey & Company and was offered a full-time position. She currently works on strategy projects across various industries, leveraging her analytical skills to drive business outcomes.