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What each degree costs and what it gives back over 5 years



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Graph Theory and Combinatorics
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What each degree costs and what it gives back over 5 years
International
Documents Required
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Indian
Documents Required
{"Bachelor of Computer Applications (BCA)","Bachelor’s Degree in Computer Science / Engineering","Bachelor's Degree in Science / Commerce / Arts with Mathematics at 10+2 level"}
Student Criteria
Documents Required
International
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Indian
{"Bachelor of Computer Applications (BCA)","Bachelor’s Degree in Computer Science / Engineering","Bachelor's Degree in Science / Commerce / Arts with Mathematics at 10+2 level"}

Our advisors have guided 2,400+ students to the right program this month alone
Find your best match based on where you are in your career

Dr. Pragati Sahai
Assistant Professor
PhD in Biotechnology | 17 years of experience

Dr. Sakshi Babbar
Program Coordinator
PhD in Machine Learning | 13 years of experience

Dr. Sunil Kumar
Associate Professor
Ph.D. in Management | 10 years of experience

Dr. Tanupreet Sabharwal
Associate Professor
15 years of experience
Student Category
Plan Type
Amount
Fee Note
Domestic
LUMP SUM
275000 INR
Full program fee. Zero-cost EMI option available.
Domestic
SEMESTER
68800 INR
Per semester fee (4 semesters total)
Domestic
EMI
10885 INR
24 months zero-cost EMI
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University Grants Commission Approved
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WASC Accredited
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Graduates of the Amity Online MCA Machine Learning & AI (Advanced) program are specifically recruited for roles such as Senior ML Engineer, AI Research Scientist, Deep Learning Specialist, and AI/ML Solutions Architect. Leading Indian tech companies like TCS, Infosys, Wipro, and HCLTech, along with specialized AI firms like Fractal Analytics, Uniphore, and Observe.AI, actively seek candidates with this advanced skillset. The 'Advanced' focus prepares you for complex model development, MLOps, and ethical AI implementation, making you highly valuable for their R&D and product development teams. Financial institutions and e-commerce giants like ICICI Bank and Flipkart also recruit for advanced AI roles in fraud detection and recommendation systems.
The Amity Online MCA Machine Learning & AI (Advanced) specialization generally offers a slightly higher starting salary and steeper long-term career growth compared to Cloud Computing or Cyber Security in the Indian job market. An entry-level graduate in ML & AI (Advanced) can expect ₹6-10 LPA, potentially reaching ₹18-30 LPA with 5 years of experience, due to the high demand for specialized AI expertise. In contrast, graduates from Cloud Computing or Cyber Security specializations typically start at ₹5-9 LPA, growing to ₹15-25 LPA after 5 years. The 'Advanced' focus on cutting-edge AI techniques positions you for roles with greater strategic impact and corresponding compensation.
The 'Advanced' curriculum of the Amity Online MCA Machine Learning & AI specifically equips you with expertise in TensorFlow 2.x, PyTorch, Keras, Hugging Face Transformers, and MLOps tools like MLflow and Kubeflow. You will gain practical experience through multiple capstone projects involving real-world datasets, focusing on deploying scalable AI models, computer vision, natural language processing, and reinforcement learning. This includes hands-on work with cloud AI platforms like AWS SageMaker and Google AI Platform, ensuring you can build, train, and deploy production-ready AI solutions. The emphasis is on developing a robust portfolio demonstrating your ability to solve complex industry problems, crucial for competitive roles.
Yes, the 'Advanced' specialization in Amity Online MCA Machine Learning & AI will be considered a strong credential by HRs and hiring managers in India's tech industry. Amity University's strong reputation, coupled with the program's UGC-DEB approval and the university's NAAC A+ grade, ensures its academic credibility, and the 'Advanced' focus signals deep expertise. While the online format was once a concern, by 2026, it is widely accepted for specialized postgraduate degrees, especially when backed by a reputable institution and a strong portfolio of practical projects. Your practical skills demonstrated through projects, rather than the mode of delivery, will be the primary factor for securing high-skill ML/AI roles.