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Fees
₹8,50,000
Placement
95.0%
Avg Package
₹7,00,000
Highest Package
₹15,00,000
Fees
₹8,50,000
Placement
95.0%
Avg Package
₹7,00,000
Highest Package
₹15,00,000
Seats
300
Students
1,200
Seats
300
Students
1,200
| Year | Highest Package (INR) | Average Package (INR) | Median Package (INR) | Placement % | PPOs Received |
|---|---|---|---|---|---|
| 2025 | 15,00,000 | 7,00,000 | 6,50,000 | 95.0% | 80 |
| 2024 | 14,00,000 | 6,80,000 | 6,20,000 | 94.0% | 75 |
| 2023 | 13,00,000 | 6,50,000 | 6,00,000 | 93.0% | 70 |
| 2022 | 12,00,000 | 6,20,000 | 5,80,000 | 92.0% | 65 |
| 2021 | 11,00,000 | 5,80,000 | 5,50,000 | 91.0% | 60 |
| 2020 | 10,00,000 | 5,50,000 | 5,20,000 | 90.0% | 55 |
| 2019 | 9,00,000 | 5,20,000 | 4,80,000 | 89.0% | 50 |
The typical job profiles offered by these companies include Supply Chain Analyst, Operations Consultant, Process Improvement Specialist, Quality Assurance Engineer, Project Manager, Business Systems Analyst, Logistics Coordinator, Inventory Control Specialist, and Financial Analyst.
Graduates from our operations management program are sought after across multiple sectors due to their versatile skill sets and analytical capabilities.
The IT/Software sector remains one of the largest recruiters for our graduates. Companies such as Amazon, Google, Microsoft, and Oracle offer roles in supply chain optimization, operations analytics, product management, and software development. These positions often require a blend of technical skills and operational knowledge.
Core engineering companies like General Electric, Siemens, Boeing, and Ford Motor Company recruit our graduates for roles in manufacturing operations, process design, quality control, and plant management. These positions leverage the strong foundation in engineering principles and operational methodologies.
In the finance sector, our graduates find opportunities as quantitative analysts, risk managers, and financial operations specialists in investment banks, asset management firms, and insurance companies. Their analytical skills are highly valued for evaluating operational performance and making data-driven decisions.
Consulting firms such as McKinsey & Company, Deloitte, and Accenture frequently hire our graduates for roles in operational consulting, process improvement, and business transformation projects. These positions often involve working with clients across various industries to optimize their operations.
With the rise of big data analytics, companies in this sector seek graduates who can apply statistical and analytical techniques to solve operational problems. Organizations like SAP Labs, Oracle, and Adobe Systems offer positions in data analytics, business intelligence, and predictive modeling.
Government organizations and public sector enterprises also recruit our graduates for roles in policy formulation, regulatory compliance, infrastructure planning, and public service delivery optimization. These positions often require a deep understanding of operational frameworks and their application in government contexts.
The internship season at MAHARISHI CENTRE FOR EDUCATIONAL EXCELLENCE typically begins in early summer and extends through fall. During this period, students secure placements with companies ranging from Fortune 500 corporations to startups.
Our career services office facilitates the internship process by organizing company presentations, resume workshops, mock interviews, and networking events. Students are encouraged to apply to multiple companies and prepare thoroughly for selection rounds.
The average stipend during the internship season is INR 60,000 per month, with top performers receiving offers of up to INR 120,000 per month. Many students receive full-time job offers after completing their internships, often leading to PPOs (Pre-Placement Offers).
Internship opportunities are available in various domains including supply chain management, process improvement, data analytics, quality control, and project coordination. These experiences provide valuable exposure to real-world challenges and help students build professional networks.
