ROI of Top Data Science Colleges
The Return on Investment (ROI) of obtaining a master’s degree in data science from top colleges can be a significant factor in decision-making.
Here’s a table showing the estimated ROI for some of the top data science colleges in India :
| Name of the Engineering College | Tuition Fees (Total for program in ₹) | Average Placement Salary (per annum in ₹) | Estimated ROI |
|---|---|---|---|
| Indian Institute of Technology (IIT), Bombay | ₹4,00,000 | ₹18,00,000 | 450% |
| Indian Institute of Technology (IIT), Madras | ₹4,00,000 | ₹17,00,000 | 425% |
| Indian Institute of Technology (IIT), Kharagpur | ₹4,00,000 | ₹16,00,000 | 400% |
| Indian Institute of Science (IISc), Bangalore | ₹2,68,000 | ₹20,00,000 | 746% |
| Indian Institute of Technology (IIT), Delhi | ₹4,00,000 | ₹18,00,000 | 450% |
| Birla Institute of Technology and Science (BITS), Pilani | ₹7,50,000 | ₹15,00,000 | 200% |
| Indian Statistical Institute (ISI), Kolkata | ₹48,000 | ₹12,00,000 | 2500% |
| International Institute of Information Technology (IIIT), Hyderabad | ₹6,00,000 | ₹19,00,000 | 316.7% |
| Indian Institute of Technology (IIT), Kanpur | ₹4,00,000 | ₹17,00,000 | 425% |
| National Institute of Technology (NIT), Trichy | ₹2,50,000 | ₹12,00,000 | 480% |
Notes:
- Tuition Fees: This is an estimate for the total cost of the program, which typically lasts 2 years.
- Average Placement Salary: This is an estimated average based on reported placement data from the colleges.
- Estimated ROI: Calculated as (Average Placement Salary−Tuition Fees)/Tuition Fees×100%.
Best Colleges with Masters in Data Science in India
In the dynamic field of data science, pursuing a master’s degree from a reputed institution can substantially elevate one’s career prospects. Across India, esteemed colleges offer robust programs that blend advanced analytics with practical industry applications. These programs are tailored for graduates who aspire to excel in this rapidly evolving domain, offering them a platform to hone critical skills. By considering factors such as tuition fees, entrance requirements, and ROI, prospective students can make informed decisions that align with their academic and professional goals. The right institution not only imparts valuable knowledge but also provides a gateway to lucrative opportunities in the data science landscape.
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