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Fees
₹8,50,000
Placement
94.5%
Avg Package
₹9,50,000
Highest Package
₹18,00,000
Fees
₹8,50,000
Placement
94.5%
Avg Package
₹9,50,000
Highest Package
₹18,00,000
Seats
100
Students
320
Seats
100
Students
320
The Business Analytics program at Alpine College Of Management And Technology has consistently achieved outstanding results in campus placements, reflecting the high quality of education and industry relevance of our curriculum. Our students are highly sought after by leading organizations across various sectors due to their analytical prowess and technical capabilities.
| Year | Highest Package (Domestic) | Average Package (Domestic) | Median Package (Domestic) | Placement Percentage | PPOs Received |
|---|---|---|---|---|---|
| 2024 | 18.0 LPA | 9.5 LPA | 9.0 LPA | 94.5% | 68 |
| 2023 | 16.5 LPA | 8.9 LPA | 8.5 LPA | 92.0% | 62 |
| 2022 | 15.0 LPA | 8.2 LPA | 8.0 LPA | 91.0% | 58 |
| 2021 | 14.0 LPA | 7.6 LPA | 7.5 LPA | 89.0% | 55 |
| 2020 | 13.5 LPA | 7.0 LPA | 7.0 LPA | 87.0% | 50 |
| 2019 | 12.5 LPA | 6.5 LPA | 6.5 LPA | 85.0% | 45 |
| 2018 | 11.5 LPA | 6.0 LPA | 6.0 LPA | 83.0% | 40 |
The data shows a steady upward trend in placement statistics over the years, indicating growing recognition of our program's value by industry leaders. The average package has increased significantly from 6.0 LPA in 2018 to 9.5 LPA in 2024, reflecting improved market positioning and student capabilities.
The following are the top companies that regularly recruit from our Business Analytics program:
The career paths of our graduates span across multiple sectors, each offering distinct opportunities and challenges:
This sector dominates placement opportunities for analytics graduates, with companies like Google, Microsoft, Amazon, Meta, and Oracle offering diverse roles. Positions include Data Scientist, Business Intelligence Analyst, Machine Learning Engineer, and Product Manager. These roles typically involve working with large datasets, building predictive models, and creating insightful dashboards for business decision-making.
Organizations in the core engineering domain such as Tata Consultancy Services, Infosys, and Cognizant value our students' analytical skills for roles in process optimization, quality assurance, and strategic planning. These positions often involve applying statistical methods to improve operational efficiency and design robust systems.
The finance sector offers excellent opportunities through companies like JPMorgan Chase, Goldman Sachs, and HSBC. Roles include Quantitative Analyst, Risk Analyst, Financial Analyst, and Investment Researcher. These positions require advanced statistical modeling and data interpretation to assess market trends, evaluate investments, and manage financial risks.
Top-tier consulting firms such as McKinsey & Company, Deloitte, and PwC seek our graduates for their ability to analyze complex problems and provide actionable insights. Roles typically involve client engagement, data analysis, strategic recommendations, and project management in various industries.
Dedicated analytics companies like Palantir, Tableau, and Snowflake hire our students for specialized roles in data visualization, business intelligence, and platform development. These positions require expertise in creating intuitive interfaces for complex data sets and delivering insights through innovative tools.
Public sector units such as BHEL, IOCL, and NTPC also recruit our graduates for roles in business analytics, performance optimization, and strategic planning. These positions contribute to national development by applying analytical methods to enhance public service delivery and operational efficiency.
The internship season is a crucial component of the program, providing students with practical experience and industry exposure. The process typically begins in the second year and extends through the third year, allowing students to gain hands-on experience before graduation.
Major companies that offer internships include Google, Microsoft, Amazon, JPMorgan Chase, McKinsey & Company, Deloitte, Accenture, IBM, Oracle, and Uber. Internship stipends vary based on company policies and performance, with average ranges between 40,000-80,000 INR per month for top-tier organizations.
Students are placed in roles such as Data Analyst Intern, Business Intelligence Intern, Machine Learning Intern, and Product Analytics Intern. These internships often lead to full-time offers upon graduation, with many students securing PPOs during their internship period.
The department provides comprehensive support throughout the internship process, including resume writing workshops, interview preparation sessions, and industry networking events. Faculty mentors guide students in selecting suitable opportunities and preparing for professional environments.
