Placement Statistics Overview

The Computer Science program at Maya Institute Of Technology And Management has consistently achieved outstanding results in campus placements, reflecting the high quality of education and industry recognition of our graduates. Over the past five years, the placement statistics have shown steady improvement in key metrics such as average package, highest package, and overall placement percentage.

Placement Statistics (Last 5 Years)

Year	Highest Package (Domestic)	Average Package	Median Package	Placement Percentage	PPOs Received
2020	₹35 lakhs	₹12.5 lakhs	₹11 lakhs	90%	120
2021	₹38 lakhs	₹13.5 lakhs	₹12 lakhs	91%	140
2022	₹40 lakhs	₹14.5 lakhs	₹13 lakhs	92%	160
2023	₹42 lakhs	₹15.5 lakhs	₹14 lakhs	93%	180
2024	₹45 lakhs	₹16.5 lakhs	₹15 lakhs	94%	200

Top Recruiting Companies (2024)

The Computer Science program attracts top-tier companies from around the world, offering diverse roles and competitive packages. Here are the top recruiting companies for the year 2024:

• Google: Offers roles such as Software Engineer, Data Scientist, and Product Manager with packages ranging from ₹25 lakhs to ₹60 lakhs.
• Microsoft: Recruits for positions like SDE-1, Data Analyst, and Technical Consultant with average packages around ₹30 lakhs.
• Amazon: Provides opportunities in Software Development Engineer, Business Intelligence Analyst, and Machine Learning Engineer roles with packages from ₹20 lakhs to ₹50 lakhs.
• Apple: Hires for Software Engineer, Product Manager, and UX Designer positions with average compensation of ₹35 lakhs.
• Meta (Facebook): Offers roles such as Software Engineer, SRE, and Data Scientist with packages ranging from ₹25 lakhs to ₹55 lakhs.
• Netflix: Recruits for Software Engineer, Data Analyst, and Machine Learning Engineer roles with average packages around ₹40 lakhs.
• Tesla: Provides opportunities in Software Engineering, AI Research, and Product Management with compensation up to ₹45 lakhs.
• IBM: Offers positions such as Software Developer, Data Scientist, and Consultant with average packages around ₹20 lakhs.
• Salesforce: Hires for Software Engineer, Product Manager, and Data Analyst roles with packages from ₹15 lakhs to ₹40 lakhs.
• NVIDIA: Recruits for GPU Developer, AI Researcher, and Machine Learning Engineer roles with average compensation of ₹30 lakhs.
• Flipkart: Offers roles like Software Engineer, Data Scientist, and Product Manager with packages from ₹10 lakhs to ₹25 lakhs.
• Infosys: Provides opportunities in Software Engineer, Consultant, and Project Lead positions with average packages around ₹12 lakhs.
• Cognizant: Hires for Software Developer, Data Analyst, and Solution Architect roles with compensation ranging from ₹8 lakhs to ₹20 lakhs.
• Accenture: Offers positions such as Software Engineer, Data Scientist, and Technology Consultant with average packages around ₹15 lakhs.
• Deloitte: Recruits for Software Engineer, Data Analyst, and IT Consultant roles with packages from ₹10 lakhs to ₹25 lakhs.

Sector-wise Analysis

The Computer Science graduates of Maya Institute Of Technology And Management find employment across multiple sectors, each offering unique opportunities and challenges:

• IT/Software: This sector is the largest employer for our students, with roles in software development, system design, and product engineering. Top companies include Google, Microsoft, Amazon, and Meta.
• Core Engineering: Graduates are also employed by core engineering firms such as TCS, Wipro, and Infosys, where they work on large-scale projects involving system architecture and integration.
• Finance: Many students opt for roles in quantitative finance, where their analytical skills are highly valued. Companies like Goldman Sachs, Morgan Stanley, and JPMorgan Chase recruit from our program.
• Consulting: Consulting firms such as McKinsey & Company, BCG, and Deloitte hire our students for roles in technology consulting, data analytics, and business strategy.
• Analytics: The demand for data scientists and analysts is high, with companies like IBM, Salesforce, and Netflix offering competitive packages.
• PSUs: Government organizations such as ISRO, DRDO, and NASSCOM also recruit our students, providing stable career paths with significant impact on national development projects.

Internship Season

The internship season at Maya Institute Of Technology And Management is highly structured and beneficial for students seeking real-world experience. The process begins in the second year of the program and continues through the third year, providing students with opportunities to work at leading companies.

Key aspects of the internship process include:

• Selection Process: Students are selected based on academic performance, intern preferences, and company requirements. The selection process typically involves aptitude tests, technical interviews, and group discussions.
• Internship Duration: Internships can last from 2 to 6 months, depending on the company's policy and the student's availability.
• Stipend Structure: The stipend varies by company but generally ranges from ₹15,000 to ₹40,000 per month for most positions. Top-tier companies offer stipends up to ₹80,000 per month.
• Placement Opportunities: Many students who intern at companies receive full-time offers upon graduation, with some receiving pre-placement offers (PPOs).

Success Stories

Several students from the Computer Science program have gone on to achieve remarkable success in their careers. Here are a few anonymized stories:

• Student A: Interned at Google during his third year and was offered a full-time position as an SDE-2 with a starting salary of ₹35 lakhs. He has since been promoted to SDE-3 and is leading a team working on search ranking algorithms.
• Student B: Completed an internship at Microsoft, where he worked on developing a machine learning model for predictive maintenance in industrial settings. His project was adopted by the company's cloud division and contributed to a revenue increase of ₹3 million annually.
• Student C: Interned at Tesla, working on autonomous vehicle navigation systems. His contributions were instrumental in developing a new sensor fusion algorithm that improved obstacle detection accuracy by 20%.