Online MCA in Artificial Intelligence & Machine Learning From Amrita Vishwa Vidyapeetham University
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Key Highlights: Online MCA in Artificial Intelligence & Machine Learning
Total fees: ₹1,82,000
Recognised & accredited: UGC, AICTE
Minimum Eligibility: Candidate with a Bachelor’s degree (Mathematics compulsory subject)
NIRF Ranking: 8
Course Duration: 2 years
Address: Coimbatore, Tamil Nadu, India
Online MCA in Artificial Intelligence & Machine Learning from Amrita Vishwa Vidyapeetham University, India
Venture into the field of Online MCA in Artificial Intelligence & Machine Learning from Amrita Vishwa Vidyapeetham University, India. This is UGC-entitled / AICTE-approved / NAAC-accredited online MCA Artificial Intelligence and Machine Learning (AI & ML) enables learners to acquire in-demand skills, industry-specific expertise and expand their understanding of diverse aspects of this versatile domain to excel in various roles.
The comprehensive curriculum of this online MCA with a focus on Artificial Intelligence and Machine Learning (AI & ML) covers core industry relevant subjects, ensuring a strong foundation in both theory and practical application. Experience the flexibility of learning from anywhere with access to high-quality study materials, live and recorded classes by expert faculty, interactive discussion forums, e-libraries, case studies, quizzes, etc., enabling you to learn at your own pace while staying connected to a vibrant academic community.
Online MCA in Artificial Intelligence & Machine Learning from Amrita Vishwa Vidyapeetham University - Overview
Lead the AI revolution with the Online MCA in Artificial Intelligence & Machine Learning at Amrita Vishwa Vidyapeetham University. Ranked 8 in India by NIRF 2025 and accredited with the highest NAAC A++ Grade.
This two-year postgraduate program is a deep dive into the world of Machine Learning, Deep Learning, and Natural Language Processing (NLP). The curriculum integrates core computer science principles with specialized AI training, offering hands-on experience with tools like TensorFlow, Keras, and Python.
Program Outcomes:
- Strategic Industry Partnerships: Gain certification training from Google, IBM, Microsoft.
- Immersive Practical Learning: Apply learning through case studies and mini projects.
- Applied AI Mastery: Build applied AI skills using Python and ML libraries.
Why Enroll in Amrita University Online MCA in Artificial Intelligence & Machine Learning?
The Online MCA in AI & ML stands out for its specialized focus and rigorous academic framework.
- Expert-Led Pedagogy: Learn from a distinguished faculty comprising 1650+ academicians and interact with international AI specialists from Germany and the USA, providing diverse global perspectives.
- Holistic Career Support: Benefit from 360-degree placement assistance and a strong alumni network, opening doors to top recruiters like Google, Microsoft, and Accenture.
- Future-Proof Curriculum: With electives ranging from IoT for AI to Robotics and Reinforcement Learning, the syllabus is constantly updated to align with Industry 4.0 standards.
Suitable Learners
- Aspiring AI Engineers: Professionals aiming for roles like Machine Learning Engineer, Deep Learning Specialist, or AI Architect.
- Data Science Enthusiasts: Individuals looking to master Big Data, Predictive Analytics, and Data Visualization to drive business insights.
- Tech Innovators: Developers and engineers seeking to pivot into Robotics, NLP, or Cognitive Computing.
- Working Professionals: Those seeking to upskill with a flexible degree that allows for zero-cost EMI payment options and weekend live sessions.
Amrita University Online MCA in AI & ML: Curriculum Overview
The Online MCA in AI & ML at Amrita University curriculum is spread over four semesters (2 years).
Core Courses
Semester 1
- Foundations of Computer Systems
- Mathematical Foundations for Computer Applications
- Object Oriented Programming using Java
- Stream Core 1: Python Programming for AI
- Stream Core 2: Foundations of Machine Learning
Semester 2
- Data Structures and Algorithms
- Soft Skills
- Stream Core: Computational Linear Algebra
- Stream Core 3: Deep Learning for AI
- Stream Core 4: Natural Language Processing
- MCA AI & ML Elective I
Semester 3
- Software Project Management
- Research Methodology
- Stream Core 5: Complex Network Analysis
- Stream Core 6: Reinforcement Learning
- MCA AI & ML Elective II
- MCA AI & ML Elective III
- Case Study
Semester 4
- Capstone Project
- MCA AI & ML Elective IV
- MCA AI & ML Elective V
Specialized Electives
Students can select from a range of high-impact electives designed to build expertise in emerging technologies:
- Data Engineering for AI
- No SQL Databases
- Applications of Machine Learning
- Computational Statistics
- IoT for AI
- Computer Vision
- Business Analytics and Visualization
- Generative AI and LLM
Admission Eligibility for Online MCA in Artificial Intelligence & Machine Learning
To enroll in the Online MCA in AI & ML program at Amrita Vishwa Vidyapeetham University, candidates must meet the following requirements:
- Educational Qualification: Candidates must have a bachelor's degree (minimum 3 years) from a recognized university.
- Minimum Marks: At least 50% aggregate marks in their undergraduate degree.
- Mathematics Requirement: Candidates must have studied Mathematics at 10+2 level or at the graduation level.
- Final Year Students: Students in their final year can apply with the last completed semester results.
How to Apply for Online MCA in AI & ML at Amrita University?
The admission process at Amrita Vishwa Vidyapeetham University is fully online and streamlined.
- Step 1: Application: Register and fill out the application form on the official portal.
- Step 2: Document Submission: Upload your academic records (10th, 12th, and Degree mark sheets).
- Step 3: Verification: The university verifies your eligibility.
- Step 4: Fee Payment: Pay the admission and tuition fees to confirm your seat. An admission counselor guides candidates throughout this process.
Online MCA in AI & ML Duration and Fees
The Online MCA in AI & ML program at Amrita University offers a premium specialized degree with flexible payment options.
Duration: 2 Years (Minimum) to 4 Years (Maximum).
Category | Fee Type | Amount / Details |
For Indian Students | Monthly EMI | Rs. 7,917 per month; Zero Cost EMI |
Semester Fee | Rs. 45,000 | |
1-Year Fee | Rs. 90,250 (5% discount) | |
Total Tuition Fee | Rs. 1,95,000 | |
For Foreign Nationals | Semester Fee | Rs. 53,000 |
1-Year Fee | Rs. 1,05,925 (5% discount) | |
Total Tuition Fee | Rs. 2,28,500 | |
Additional Fees | Registration Fee | Rs. 500 |
Examination Fee | Rs. 2,500 per semester |
Online MCA in AI & ML at Amrita University: Scholarships
Amrita Vishwa Vidyapeetham University Online scholarships support eligible learners with fee assistance across different categories.
Category | Eligible For | Scholarship |
Defence Personnel | All in service or retired | 20% |
Martyr’s | Wards of martyred soldiers | 20% |
Sports | Sports listed under IOC, IOA, AIU, MYAS | 25%–100% |
Divyang | Differently abled | 20% |
Amrita Vidyalayam | Selection process | 20% |
Amrita Alumni | CGPA: above 6 / above 7.5 | 10% / 20% |
Amrita Talent Hunt | National/International events recognized by the Board | 20% |
Note- Scholarships will be approved and then reviewed on a regular basis.
Job Roles After Online MCA in Artificial Intelligence & Machine Learning
Graduates of Amrita Vishwa Vidyapeetham University are prepared for entry-level to mid-level AI and software roles.
Top Job Roles
Job Role | Average Annual Salary (India) |
AI Engineer | INR 17.9 L |
Data Scientist | INR 15.6 L |
Machine Learning Engineer | INR 11.8 L |
Software Developer | INR 10.2 L |
Data Analyst | INR 6.9 L |
Source: AmbitionBox
Frequently Asked Questions
Yes, the program is UGC-entitled and AICTE-approved, ensuring it follows the required standards for technical education in India. The degree holds the same recognition as a traditional MCA and is widely accepted by employers and academic institutions.
The minimum duration of the program is 2 years, divided into four semesters. However, students are allowed up to 4 years to complete the course, providing flexibility for working professionals.
The program follows a four-quadrant digital learning model including video tutorials, e-content, discussion forums, and assessments. Weekly live sessions are conducted for each course and supported by recorded lectures and reading materials.
Yes, the program is designed for both fresh graduates and working professionals. Its flexible learning format allows students to continue their jobs while upgrading their skills in artificial intelligence and machine learning.
Yes, candidates must have studied Mathematics at the 10+2 level or during their graduation. This requirement helps students understand the mathematical foundations behind AI algorithms and machine learning models.
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