Eligibility:
Bachelor of Computer Applications (BCA)
OR
Bachelor’s degree in computer science / Engineering
OR
Bachelor’s degree in science / Commerce / Arts with Mathematics at 10+2 level*
*Students without Mathematics at 10+2 or graduation, can also apply after qualifying the Bridge course.
Key Features:
Academic: | Student Services: |
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The Amity Online MCA with Specialization in Machine Learning is and Industry-endorsed program offered in collaboration with TCS-ION – a unit of India’s largest I.T. company - Tata Consultancy Services (TCS). This specialisation track on Artificial Intelligence covers end-to-end in-depth industry ready knowledge on different domains and technologies of Artificial Intelligence, Machine Learning, Deep Learning, etc. The track augments the specialisation with the addition of trending courses like social media and text analytics. Learners from Sem 3 onwards will be eligible to take the National Qualifier Test (TCS-ION NQT), which is endorsed by top I.T. corporates of India including TCS and also non-I.T. companies. Successful learners of the NQT will be given access to jobs through the TCS-ION job portal. Total flexibility with Web Proctored Mode: freedom to take exams anywhere, as well as the choice to take Semester Breaks. Easy-to-use Learning Management System (LMS) accessible anytime, anywhere. Exclusive doubt clearing session per program every Semester. Study material available in downloadable pdf format as e-copy. 70+ Free Certificate Programs from Amity Open Learning System – Basic Communication, Time Management, Negotiation. Open-source resources and web-links also made available like Swayam videos, NPTEL videos for additional learning. |
Post enrolment services through a dedicated Student Relationship Manager. Totally Online Admission Process including uploading of eligibility documents. Multiple fee payment options, including no-cost EMI from Fee Financing companies. Dedicated Career Support & Virtual Job Fairs With 100+ Hiring Partners. |
Curriculum:
SEMESTER 1 | Professional communication Core Java Advanced Database Management Systems Advanced Software Engineering Principles Graph Theory and Combinatorics |
SEMESTER 2 | Research Methodology Data Structures and Algorithm Design Cognitive Analytics and Social Skills for Professional Network Security and Cryptography Artificial Intelligence for Real World Application Machine Learning for Real World Application |
SEMESTER 3 | Unix /Linux Programming Seminar (Evaluation) Cloud Infrastructure and Services Quantitative Aptitude Professional Ethics Deep Learning & Neural Network Social Media & Text Analytics |
SEMESTER 4 | Major Project |
Fee Details:
Full Fee: Rs. 230000.00
Fee per year: Rs. 118750.00
Fee per semester: Rs. 62500.00
Disclaimer:
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