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MCA Machine Learning & Artificial Intelligence

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MCA AI & Machine Learning LPU

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The Online Master of Computer Applications in Machine Learning & Artificial Intelligence is an advanced program that combines core principles of computer applications with specialized knowledge in AI and machine learning. This program equips learners to design, develop, and implement intelligent systems and algorithms, preparing them to meet the demands of the AI and machine learning industry.

Contemporary Curriculum: Gain a comprehensive understanding of the latest trends and technologies in artificial intelligence and machine learning, ensuring you stay at the forefront of this rapidly evolving field.

In-Demand Skills: Master essential skills in areas such as Neural Networks, Deep Learning, Natural Language Processing, Computer Vision, and Predictive Analytics.

AI and ML System Development: Develop expertise in designing and deploying AI and machine learning models using tools and frameworks such as TensorFlow, Keras, and PyTorch. Learn to build intelligent systems that can analyze data, recognize patterns, and make data-driven decisions.

Semester 1

  • Data Communication and Networking
  • Data Communication and Networking – Laboratory
  • Data Warehousing and Data Mining
  • Data Warehousing and Data Mining – Laboratory
  • Linux and Shell Scripting – Lab
  • Object Oriented Programming using C++
  • Pathway Elective 1
  • Programme Orientation
  • Software Engineering Practices

Semester 2

  • Advanced Data Structures
  • Artificial Intelligence and Intelligent Systems
  • Language Elective 1
  • Mathematical Foundation for Computer Science
  • Pathway Elective 2
  • Professional Ethics and Practices
  • Programming in Java
  • Web Technologies
  • Web Technologies – Laboratory

Semester 3

  • Department Elective 1
  • Industry Co-op Project
  • Pathway Elective 3
  • Pathway Elective 4
  • Seminar on Summer Training
  • Machine Learning
  • Natural Language Processing

Semester 4

  • Department Elective 2
  • Industrial Training
  • Project Work
  • Deep Learning
  • Advance Data Visualization

About University

LPU Online curriculum is designed in collaboration with industry experts. The curriculum seamlessly integrates academic rigor with practical applications, ensuring that learners are not just equipped with theoretical knowledge, but also with the skills demanded by today’s dynamic industries. LPU empowers learners by bridging the gap between academia and industry. The industry-oriented curriculum nurtures holistic development, shaping graduates who are not only academically proficient but also well-prepared to make meaningful contributions to their chosen fields.
Accreditations &  Rankings

  • LPU receives highest NAAC grade A++ with a score of 3.68 on a scale of 4 amongst all Dual mode universities (both Government and Private)
  • National Institutional Ranking Framework (NIRF) ranked Lovely Professional University 38th amongst all Government and Private Universities in India
  • LPU is duly recognized by the University Grants Commission and LPU Online is duly Entitled by UGC-DEB to offer programs in Online mode
  • MBA and MCA Programs offered in LPU Online are duly approved by All India Council For Technical Education (AICTE)
  • Degree from LPU in Online mode is duly recognised by World Education Services (WES) for recognized study in Canada and USA
  • Times Higher Education Impact Rankings 2023 has ranked LPU 2nd in India amongst both Government and Private Universities and we have secured a global band of 101-200
  • LPU is ranked 25th amongst Top Universities of India (Both Government & Private) as per Times Higher Education World University Rankings 2024
Basic info

Duration: 2 years

Fee: ₹26,750 per semester

Eligibility Criteria:

BCA/B.Sc. (Computer Science)/B.Sc. (Information Technology)/Bachelor degree in computer science engineering or equivalent


Any Graduation with Computer Science as a subject for three years with Mathematics /Statistics / QT/ Business Math as one of the subject at Graduation or 10+2 level or equivalent


B.A. or B.Com. or B.Sc. (any Graduation) with Mathematics /Statistics / QT/ Business Math as one of the subject at Graduation or 10+2 level or equivalent(with additional bridge courses)

Only B.Tech(Computer Science & Engineering, Information Technology, Electronics & Communication Engineering) candidates need not to study any additional bridge courses. Rest of the B.Tech (any category) candidates need to study additional bridge courses.

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.

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