

KL Online MCA in Artificial Intelligence





Application Closing soon for Jul 2026 Batch
EMI Starts From: NA
Live Class:Online
Average Salary:₹14.0LPA






Application Closing soon for Jul 2026 Batch
EMI Starts From: NA
Live Class:Online
Average Salary:₹14.0LPAThe Online MCA in Artificial Intelligence from KL University is tailored for tech professionals and graduates who want to dive deep into intelligent computing. With a balanced mix of core computer science, machine learning, neural networks, and emerging AI applications, this program prepares students for next-gen careers in automation, intelligent systems, and R&D. The flexible, online-first delivery and hands-on project structure ensure you're future-ready with in-demand AI expertise.
UGC-Recognized, NAAC-Accredited Degree: Respected by industry and academia for employment and higher education.
Future-Ready Curriculum: Learn Python, deep learning, NLP, robotics, AI ethics, and cloud deployment.
Real-World AI Projects: Build intelligent models using real datasets and tools like TensorFlow, Keras, and OpenAI APIs.
Research & Product Exposure: Apply AI in health, fintech, smart cities, and automation labs.
Placement & Career Assistance: Via Course Connect—resume curation, job referrals, project feedback, and tech mentorship.
100% Online Format: Designed for flexibility with live weekend classes and recorded access.
Community & Networking: Collaborate with AI engineers, mentors, and alumni in real-time.
Affordable & Accessible: High-value AI education with EMI options.
What additional you get from CourseConnect
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Graduates in any discipline are eligible for this course.



Total 2 semester
INR 32,750 / Semester
*Fees may vary kindly check the actual fee with our counsellor
Full course fee
INR 65,500
*Inclusive of all taxes
EMI starting at
INR 2,729 / Month
*Terms & Conditions apply
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| S.No | Credit | Subject |
|---|---|---|
| 1 | Programming in Python and C++ | |
| 2 | Discrete Mathematics | |
| 3 | Computer Architecture | |
| 4 | Data Structures and Algorithms | |
| 5 | Database Management Systems | |
| 6 | Operating Systems |
| S.No | Credit | Subject |
|---|---|---|
| 1 | Object-Oriented Programming | |
| 2 | Data Analytics | |
| 3 | Comprehensive Software Engineering | |
| 4 | Applied Machine Learning | |
| 5 | Pattern Recognition |