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Amity University Online MCA in Machine Learning and Artificial Intelligence - Fees, Eligibility, Seats and Admission 2024
- 53 ReviewsNoida (Uttar Pradesh)
- Public
- Approved by : UGC
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Amity University Online MCA in Machine Learning and Artificial Intelligence Fees
The fee for MCA in Machine Learning and Artificial Intelligence at Amity University Online is 105000 INR.
| Duration | Fees |
| Year 1 | 52500 INR |
| Year 2 | 52500 INR |
| Total Fees | 105000 INR |
Amity University Online MCA in Machine Learning and Artificial Intelligence Fees and Course Details
| Course name | MCA in Machine Learning and Artificial Intelligence |
| Duration | 2 Years |
| Course level | PG |
| Mode of Study | Online |
| Total Fees | 105000 INR |
Amity University Online MCA in Machine Learning and Artificial Intelligence Eligibility Criteria
To be eligible for the MCA degree program at Amity University Online, Noida, candidates must have a Bachelor's degree in any discipline with a minimum of 50% aggregate marks. Additionally, candidates must have studied Mathematics as a subject at the 10+2 level or during graduation. Applicants must also clear the entrance exam conducted by the university or provide a valid score in national-level entrance exams such as NIMCET or AMCAT. Work experience in the relevant field may also be considered during the selection process. Meeting these criteria ensures that students have the necessary foundation to excel in the MCA program at Amity University Online.
Documents Required :
- UG mark sheet or equivalent
- Birth certificate or any other proof of age
- Character certificate from the last attended institution
- Migration certificate from the last attended institution
- Category certificate (if applicable)
- Passport size photographs
- Aadhaar card or any other government-issued ID proof
Other Specializations in MCA Available at Amity University Online
| Course | Duration | Total Tution fees |
| MCA in Blockchain | 2 Years | 105000 Annual |
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Amity University Online Reviews
Overall: Amity has a beautiful infrastructure with brilliant academic programs. Their faculty members are also very experienced and collaborate with students on groundbreaking projects in frills such as robot, renewable energy, artificial intelligence and machine learning. I have a wonderful learning experience and also got placed in a very renowned company.
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