

LPU Online MCA in Machine Learning & Artificial Intelligence

Course Overview
Accreditations


NAAC A++

DEB

NIRF

AIU
Course Highlights
Designed to deliver industry-relevant skills, academic excellence, and career growth
- UGC-Recognized, NAAC-Accredited MCA: Widely respected for employment and higher studies.
- Modern, Future-Focused Curriculum: Covers Python, R, machine learning algorithms, deep learning, NLP, AI ethics, and more.
- Live Projects & Case Studies: Build real-world ML/AI applications, participate in hackathons, and work on capstone projects.
- Leadership in Tech Innovation: Develop problem-solving skills for tomorrow’s technology challenges.
- Placement & Career Support: Personalized resume services, interview training, and job referrals via Course Connect and LP University.
- Flexible, 100% Online Format: Study at your own pace with live/recorded classes and collaborative projects.
- Peer & Alumni Networking: Join a thriving tech community for lifelong learning.
- Affordable Fees & EMI Options: Accessible for students and professionals nationwide.
Course Benefits
Course Fees
The fee structure for this LPU Online MCA in Machine Learning & Artificial Intelligence is designed to be affordable and flexible for both freshers and working professionals


Total 4 semester
INR 37,000 / Semester
*Fees may vary kindly check the actual fee with our counsellor
Full course fee
INR 1,48,000
*Inclusive of all taxes
EMI starting at
INR 6,167 / Month
*Terms & Conditions apply
Eligibility
- »
Bachelor's degree (B.E. / B.Tech./ B.Sc / B.Com. / B.A./ B. Voc./ BCA etc.,) with Mathematics at 10+2 level or Graduation level.
- »
For candidates having no Computer or Mathematics background, Bridge course(s) will be applicable as follows:
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No Mathematics background: 01 Mathematics course
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No Computer background: 01 Computer course
- »
No Mathematics and No Computer background: 01 Mathematics and 01 Computer course
- »
*Mathematics/ Statistics/ QT/ Business Mathematics
- »
Eligibility, admission criteria or any other condition mentioned here in or otherwise for admission to any Program is subject to change as prescribed by the university.

Course Syllabus
Semester 1
Semester 2
Semester 3
Semester 4
Top Recruiters
Top recruiters for this course include Google, Amazon, Accenture, and Deloitte. Companies like Infosys and Tata Consultancy Services provide strong opportunities in tech and management roles.












