
LPU Online MCA in Machine Learning & Artificial Intelligence

Course Overview
The Online MCA in Machine Learning & Artificial Intelligence from LP University is designed for tomorrow’s tech leaders and innovators. This advanced program empowers you with a strong foundation in software engineering, programming, data science, machine learning, deep learning, computer vision, and natural language processing. A flexible online format, hands-on projects, and an industry-driven curriculum ensure you’re job-ready for high-growth roles in AI, ML, analytics, and cutting-edge tech sectors.
Course Highlights
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
CourseConnect Benefits
What additional you get from CourseConnect
Mock Interview➔
Resume Building➔
Alumni Network➔
Career Guidance➔
Need to consult an Expert?
Have queries or need guidance? Our experts can help you decide.
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:
- »
No Mathematics background: 01 Mathematics course
- »
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
Fees


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
Talk to our Career Companion

Course Syllabus
| S.No | Credit | Subject |
|---|---|---|
| 1 | Software Engineering Practices | |
| 2 | Data Warehousing and Data Mining | |
| 3 | Data Communication and Networking | |
| 4 | Fundamentals of Computer and C Programming | |
| 5 | Object Oriented Programming using C++ | |
| 6 | Linux and Shell Scripting | |
| 7 | Skill Enhancement Course I |
| S.No | Credit | Subject |
|---|---|---|
| 1 | Programming in Java | |
| 2 | Introduction to Big Data | |
| 3 | Mathematical Foundation for Computer Science | |
| 4 | Cloud Computing | |
| 5 | Advanced Data Structures | |
| 6 | Web Technologies |



















