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Program Fees for B.Tech for Working Professionals in Machine Learning
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Starting at ₹ 6,776/month
Low Cost EMI Available
The average course fee for this B.Tech in Machine Learning course is around INR 3.5 to 5.5 Lakhs. This fee structure is way more affordable than that of universities that offer a regular course in this specialisation. This has been possible because of the fact that the fee structure of this course has been designed similarly to a distance education course, which makes it way more affordable. You also save money in expenditures like accommodation and daily commuting.
Here are the options you can use to pay your fees:
- You can pay it at the beginning of every semester.
- You can pay the full course fee in the beginning itself.
- The course fee can also be paid annually.
- The fee can also be paid in EMI if the university offers that facility.
- You can also avail the facility of an education loan to aid your education.
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Top Universities for B.Tech in Machine Learning for Working Professionals: Course Fees |
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List of Universities |
Course Fees |
Detailed Fee Structure |
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BITS Pilani Digital |
INR 5.08 Lakhs |
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FAQ's
Let's clear up some doubts
B.Tech in Machine Learning for Working Professionals is a 3-year lateral entry B.Tech course designed for Diploma holders.
A B.Tech in ML is a high-demand and skill-based course as Machine Learning is a high-salary branch for engineers. ML engineers have sole domination in the Job Market, with a higher average annual salary and better job satisfaction. This is why choosing a B.Tech in Machine Learning for Working Professionals programme can be the right choice for your engineering career at this point.
Since this B.Tech in ML is a lateral entry programme, designed for working professionals, the course duration is reduced to 3 years which means 6 semesters in total.
The course majorly deals with the fundamentals of computer science and mathematics, and then all the advanced Machine Learning aspects. The most high-paying jobs after doing a B.Tech in Machine Learning are Machine Learning Engineer, Data Scientist, ML Architect and more.
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