LPU Online MCA in AI and ML: Fees, Eligibility & Admission 2026

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• Updated on 24 Feb, 2026 by Sameer Alam

 

About LPU Online MCA in Machine Learning & Artificial Intelligence

The LPU online MCA in Machine Learning & Artificial Intelligence is a unique two-year postgraduate course ideal for working professionals and fresh graduates. The course combines the core computer science principles with advanced machine learning and Artificial Intelligence. The LPU online MCA program uses the power of intelligent systems and algorithms to equip students with an in-depth understanding of theroretical framework and practical applications in applying advanced algorithms.

 

The online MCA in AI and ML course curriculum from Lovely Professional University places greater emphasis on the interdisciplinary nature of AI, combining knowledge from cognitive science and neuroscience to develop expertise in intelligent systems. The LPU MCA in AI and ML online course curriculum is industry-aligned and offers subjects such as Programming in Java, Advanced Data Structures, Programming in Python, etc, to provide students with a holistic understanding of computer applications.

 

The LPU online MCA in Artificial Intelligence course is delivered through an advanced Learning Management System (LMS) where students can attend live classes, get access to 400+ hours of recorded lectures, track their progress through personlised dashboard, draw their exam datesheet, and participate in discussions with faculty and fellow students. This flexibility makes the LPU MCA in AI ML online course ideal for working professionals who want to upskill and compete for leadership positions, career switchers, and fresh graduates who want to build careers in AI and ML.

 

Why Choose LPU Online MCA in Machine Learning & Artificial Intelligence

  • Modern Curriculum: LPU online MCA in Artificial Intelligence course offers a contemporary curriculum that uses modern tools and techniques to analyse large datasets and develop effective solutions to real-world problems.
  • In-Demand Skills: The LPU Online MCA Artificial Intelligence course provides skills related to Machine Learning, Natural Language Processing, Deep Learning, Advanced Data Visualisation, etc. These skills are required across various industries and help students build long-term career prospects.
  • Expertise in Industry Tools and Models: The LPU online MCA in AI and ML course offers expertise in Probabilistic Models, Sequence Models, Recurrent Neural Networks, Siamese Networks, and NLP Tools.
  • Recognised and Valid Online MCA Degree from a top University: Lovely Professional University holds the NAAC A++ accreditation, and it is approved by UGC-DEB to provide online courses. LPU online MCA course is AICTE-Approved and holds the same validity and recognition as a regular MCA degree.
  • Excellent Placement Support: LPU online MCA offers excellent placement services to students through a Professional Enhancement Program.

 

Skills You Will Gain from LPU Online MCA in Machine Learning & Artificial Intelligence

  • Machine Learning
  • Natural Language Processing
  • Deep Learning
  • Advanced Data Visualisation
  • Programming with Python
  • Programming with Java
  • Cloud Computing
  • Data Warehousing and Data Mining

 

LPU Online MCA in Machine Learning and Artificial Intelligence Curriculum (2026 Updated)

The LPU online MCA in AI and ML course helps the students gain skills in machine learning and artificial intelligence that top employers seek. In the first two semesters, the MCA in AI and ML course offers common MCA subjects that offer a holistic understanding of core computer science subjects. And third semester onwards, specialised electives and subjects such as Programming in Python, Cyber Forensics, and Network administration are introduced to offer students specialised knowledge in Machine Learning and Artificial Intelligence.

 

The LPU Online MCA in AI and ML course offers a total of 104 credits. The MCA in AI ML online course at Lovely Professional University offers 28 contemporary courses and includes 4 core courses, 4 discipline-specific elective courses, 4 generic elective courses and 4 skill enhancement courses. Below is a detailed LPU online MCA in ML and AI curriculum.

Semester I

Semester II

Semester III

Semester IV

ECAP437: Software Engineering Practices

ECAP615: Programming in Java

ECAP776: Programming in Python

SEC-IV: Skill Enhancement Course IV

ECAP444: Object Oriented Programming using C++

ECAP770: Advanced Data Structures

SEC-III: Skill Enhancement Course III

ECAP661: Securing Networks and its Infrastructure

ECAP446: Data Warehousing and Data Mining

ECAP456: Introduction to Big Data

ECAP660: Network Administration

ECAP662: Vulnerability Assessment and Penetration Testing

ECAP448: Linux and Shell Scripting

ECAP470: Cloud Computing

ECAP796: Cyber Forensic

GE-III: Generic Elective III

ECAP453: Data Communication and Networking

EMTH403: Mathematical Foundation for Computer Science

GE-I: Generic Elective I

Generic Elective IV: Generic Elective IV

SEC-I: Skill Enhancement Course I

ECAP472: Web Technologies

GE-II: Generic Elective II

ECAP788: Project Work

ECAP012: Fundamentals of Computer and C Programming*

SEC-II: Skill Enhancement Course II

ECAP735: Seminar on Summer Training

EMTH006: Elementary Mathematics*

OR: 1 Course from GE Basket 1 (not chosen as GE)

*ECAP012 and EMTH006 are Bridge Courses applicable only to candidates without Computer or Mathematics background.

 

LPU Online MCA in Machine Learning and Artificial Intelligence Fee Structure (2026 Updated)

The LPU online MCA in Machine Learning and Artificial Intelligence course fee has been designed to provide computer applications education at a reasonable and affordable cost. The aim of the affordable online MCA in AI and ML course is to provide quality education accessible to students from the most disadvantaged economic backgrounds. This flexible MCA in AI and ML course allows students to earn a valid and AICTE-approved online MCA degree without relocating or leaving their current professional commitments. The LPU online MCA course students do not need to spend on travel, accommodation or other expenses that usually come with regular campus-based MCA courses. At the same time, the academic standards and university recognition remain strong and credible.

 

The LPU online MCA fee structure is simple and easy to understand. Learners from India and select neighbouring countries can review the full programme cost before taking admission. With semester-wise payment options and no-cost EMI facilities, the MCA in AI ML online programme supports practical financial planning.

 

LPU Online MCA in Machine Learning and Artificial Intelligence Fee Structure for Indian Students

Programme Name

Area of Specialisation

Total Programme Fee (4 Semesters)

Fee Per Semester

Discounted Total Fee (20% Grant)

Discounted Semester Fee

Monthly EMI (24-Month No-Cost EMI)

Online MCA

ML & AI

₹1,48,000

₹37,000

₹1,20,000

₹30,000

₹5,000

Notes:

  • The above fee structure applies to Indian applicants and international applicants from Bangladesh, Bhutan, Nepal and Sri Lanka.
  • The fee mentioned above excludes a non-refundable registration amount of ₹600 and an examination fee of ₹2,000.

 

LPU Online MCA in Machine Learning and Artificial Intelligence Fee Structure for International Students

Programme

Specialisation

Total Fee (4 Semesters)

Fee Per Semester

Discounted Total Fee (20% Grant)

Discounted Semester Fee

Online MCA

ML & AI

$5,400

$1,350

$4,400

$1,100

Note:

  • 1. The above fee is applicable to all international students except students from Bangladesh, Bhutan, Nepal and Sri Lanka.
  • 2. The fee is inclusive of a non-refundable registration amount of $10 and an examination fee of $100.

 

Loan Partners for LPU Online MCA in Machine Learning and Artificial Intelligence 2026

To make the LPU online MCA programs more accessible, LPU Online provides access to education loans and EMI facilities through authorised financial partners available on the official platform. These partners support learners who want to manage their programme cost in a planned manner while continuing their employment.

 

Loan and EMI Partners:

  • Propelld
  • Fibe
  • Jodo
  • GrayQuest
  • Avanse
  • TCPL

This is particularly helpful for students who are planning to enrol in an Online MCA Artificial Intelligence course.

 

Scholarships and Fee Concessions at LPU Online 2026

To make the LPU online MCA in AI and ML course accessible to the armed forces, LPU online has launched ‘Jai Jawan Scholarship’ and offers 100% fee waivers to the armed forces personnel. The ‘Jai Jawan Scholarship’ was launched post ‘Operation Sindoor’ to honour the contribution of the armed forces. The details are given below:

Scholarship Name

Eligible Candidates

Benefit

Applicable Programs

Admission Sessions

Jai Jawan Scholarship

Active personnel of the Indian Army, Navy, Air Force and Paramilitary Forces

100% tuition fee waiver

LPU Online MCA in ML & AI

2025–2026 and 2026–2027 intakes

This scholarship allows eligible defence personnel to pursue an Online MCA Artificial Intelligence from Lovely Professional University.

 

Additional Fee Waivers and Concessions at LPU Online 2026

Apart from the ‘Jai Jawan Scholarship’, LPU online offers additional fee waivers to make the online MCA in AI and ML course more accessible. Additional fee waivers reduce the financial burden of students who wish to pursue a recognised online MCA degree.

Fee Waiver Type

Discount Offered

Eligibility / Conditions

Applicability

Early Registration Grant

20% fee waiver

Applicable to students who complete registration within the announced timeline

All LPU Online programmes

Full Fee Upfront Payment Benefit

Additional 10% fee waiver

Offered to students who pay the entire programme fee in one instalment

All LPU Online programmes

Combined Fee Benefit

Up to 30% total fee waiver

Applicable when students register within the timeline and choose full fee payment

Subject to university terms and conditions

With transparent online MCA fees, EMI flexibility, structured scholarships, and fee waivers, the LPU online MCA in AI and ML offers a financially balanced path to earning a recognised online MCA degree.

 

Eligibility Criteria for LPU Online MCA in Machine Learning & Artificial Intelligence 2026

The eligibility criteria for LPU online MCA in AI and ML aim to accommodate students and professionals from diverse academic and professional backgrounds. An MCA in AI and ML course is ideal for students with a background in mathematics and computer science who can undertake a postgraduate computer applications program. Students without a background in mathematics and computer science are required to take additional bridge courses to help them understand the basics of computer science and bring them up to par with their peers.

 

Academic Eligibility for LPU Online MCA in ML & AI 2026

  • Students must have completed a bachelor's degree from a recognised university in B.A., B.Voc., BCA, B.E., B.Tech., B.Sc., B.Com. or other equivalent qualifications.

Mathematics Requirement for LPU Online MCA in ML & AI 2026

  • Students must have studied Mathematics at the 10+2 level or graduation level. Mathematics includes Statistics, QT, or Business Mathematics.

 

Bridge Course Requirement for LPU Online MCA in ML & AI 2026

For candidates having no Computer or Mathematics background, bridge courses 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.

Minimum Marks Required for LPU Online MCA in ML & AI 2026

  • LPU Online MCA in AI and ML does not require a minimum aggregate mark and requires students to have completed a bachelor's degree with passing marks.

 

Work Experience Requirement for LPU Online MCA in ML & AI 2026

  • The LPU MCA in AI ML online course does not require prior work experience, and the course is open to both working professionals and recent graduates.

 

Admission Process for LPU Online MCA in ML & AI 2026

  • Online Application Submission: Candidates must use EnrolBee to apply to LPU online MCA in Machine Learning and Artificial Intelligence.
  • Entry of Academic and Personal Information: Applicants provide personal details as well as details regarding their graduation and their selected programs and specialisation.
  • Uploading of Relevant Documents: Applicants provide digital copies of their academic documents, proof of identity, proof of work experience (if needed), and photographs and signatures.
  • Evaluation of Application and Review of Eligibility: The university reviews the applications to determine whether the candidates meet the academic and professional eligibility requirements.
  • Processing of the Payment of the Admission Fees Online: Applicants who qualify for admission complete their admission process by paying the fee for the online MCA in AI and ML program using the secure payment gateway.
  • Confirmation of Admission: Once admission is confirmed, students get their credentials to access the LMS.

 

Career Roles LPU Online MCA in Machine Learning & Artificial Intelligence Aligns With

LPU online MCA in AI and ML is designed for students who want to build a strong and in-depth understanding of advanced algorithms, data modelling, and neural networks and allied domains. Building a strong foundation in these areas helps students secure leadership positions in big tech companies and contribute to ongoing research and advancement in AI-driven technologies. Through a modern curriculum and expert LPU faculty, the MCA in AI ML online students get hands-on experience with tools such as language models and Hidden Markov Models. These skills are required in various positions.

 

Some of the Career Roles Supported by the LPU MCA in Machine Learning & Artificial Intelligence:

  • Business Intelligence Developer
  • Data Scientist
  • Machine Learning Engineer
  • Big Data Analyst
  • Robotics Scientist
  • AI Engineer
  • AI Research Scientist
  • Computer Vision Developer
  • Natural Language Processing (NPL) Engineer
  • Cybersecurity and AI Specialist

Graduates of the MCA in AI and ML online can explore roles across the technology and IT domains. Career growth depends on students' prior experience, skill set, and industry exposure.

 

Industries That Actively Hire LPU MCA in Machine Learning & Artificial Intelligence Graduates

LPU Online MCA in Machine Learning & Artificial Intelligence graduates are recruited by a diverse range of organisations because they help with the technical and data-driven aspects of the business. The skills gained in the LPU Online MCA in ML and AI have wide applicability across industries. Graduates are able to manage different AI implementation strategies, predictive modelling, and intelligent automation initiatives with efficiency and vision for organisational growth and digital transformation.

Key hiring sectors include:

  • Information Technology and Software Services
  • Global Tech Giants and Product Companies
  • E-Commerce and Retail
  • Banking, Financial Services, and Insurance (BFSI)
  • Manufacturing and Robotics
  • Healthcare and Technology

The MCA AI ML online course offers opportunities in both established companies and growing sectors. Professionals with an LPU online MCA degree can move to various IT companies.

 

How does LPU Online MCA in Machine Learning & Artificial Intelligence impact Career Readiness?

The LPU online MCA in Artificial Intelligence prepares students and professionals for conceptual clarity and practical understanding of corecomputer science subjects and languages. However, the impact it has on students career are different, largely dependent on the candidates' academic and professional backgrounds. The table below demonstrates how the LPU online MCA course impacts the career readiness of different applicants.

Learner Type

Career Outcomes and Benefits (Online MCA in AI and ML)

Fresh Graduates

Build a strong base in AI, ML, Data Science, and Programming. Start roles like AI Developer, ML Engineer, Data Analyst, or Software Developer.

Career Switchers

Shift from IT support or other fields into AI and ML. Gain skills in Python, Deep Learning, and Data Analytics with a recognised MCA degree.

Working Professionals

Upgrade AI and ML skills without leaving your job. Apply learning in projects and move to roles like Data Scientist, AI Specialist, or Technical Lead.

 

What Your Career Can Look Like After Choosing the LPU MCA in Machine Learning & Artificial Intelligence  

The LPU online MCA in Machine Learning and Artificial Intelligence aims to build a strong foundation in AI and ML concepts. However, the MCA in AI ML course impacts the career readiness of students differently, which is largely dependent on the academic and professional backgrounds of the students, their ability to apply the scalable solutions to real-world problems.

Category

After 5 Years

After 10 Years

After 15 Years

Roles

Data Analyst, ML Engineer, AI Developer, Business Intelligence Analyst

Lead Data Scientist, AI Architect, Head of Machine Learning

Chief AI Officer, Head of Data Science, Director – AI Strategy

Technical Depth

ML frameworks, neural networks, data pipelines, model deployment, AI ethics

Enterprise AI strategy, MLOps, advanced deep learning, cross-functional AI leadership

AI transformation leadership, ethical AI governance, intelligent automation strategy

Domain Expertise

Predictive modeling, NLP, computer vision, recommendation systems, data engineering

Multi-team AI operations, large-scale deployment, AI product management

AI-first business leadership, corporate innovation strategy

Career Trajectory

Strong foundation in AI development and data-driven decisions

Growth across tech firms, AI consultancies, product companies

Executive leadership in AI and data science

 

Placement, Exposure, and Hiring Ecosystem for LPU Online MCA in Machine Learning & Artificial Intelligence

LPU Online provides career support services to online MCA students through professional development programs, including mentoring, skill development sessions, and industry-oriented guidance.

 

Indicative Placement Outcomes:

  • Entry-Level Roles: ₹4–6 LPA
  • Mid-Level Professionals: ₹7–10 LPA
  • Senior Analytics and Leadership Roles: ₹10–15 LPA

Note: Career outcomes depend on prior experience, applied skills, industry exposure, and individual performance.

 

The LPU online MCA in AI and ML aims to build long-term career development for students and professionals, offering them excellent placement opportunities and helping them build long term career development.

 

Who Should Choose And Who Should Avoid The LPU Online MCA In Machine Learning & Artificial Intelligence 2026?

The LPU Online MCA in Machine Learning and Artificial Intelligence program integrates core computer science skills with Deep Learning, Neural Networks, Natural Language Processing, Computer Vision, and Data Engineering to provide students with the latest industry updates through an industry-aligned curriculum.

 

The MCA in AI and ML Online is for those interested in getting a degree, along with exposure to tech companies, AI product firms, and enterprise AI divisions. Apart from being UGC-entitled, the degree is also recognised for job and educational purposes in India and abroad. However, the LPU Online MCA in Artificial Intelligence may not be suitable for everyone. Knowing who should choose the program and who should avoid it helps students make better and more informed career choices.

 

Who is the Online MCA in AI and ML Right for in 2026?

  • Graduates who aspire to work in machine learning engineering, AI development, data science, predictive analytics, or intelligent automation earn a recognised Online MCA degree.
  • Individuals with a keen interest in the technical aspects of neural networks, algorithm design, and model deployment.
  • Those looking to enter the software development, AI research, data analytics, and cloud AI services sectors.
  • Those who want a higher salary, leadership positions, or to move to positions that are in greater demand, like AI architect, ML ops engineer, and business intelligence lead.
  • Aspiring professionals wishing to engage directly in technology as regards model training, data pipeline architecture, and AI-driven product development.

 

Who Should Avoid:

  • Individuals who do not have an interest in programming, mathematics, and statistical modelling should avoid the Online MCA in AI and ML.
  • Students with a vision of purely administrative roles such as IT support and basic software testing, should also avoid this course. An MCA in AI ML Online teaches how artificial intelligence integrates with complex computational systems.
  • Those anticipating a quick and high return on investment without any prior exposure to coding or data structures.
  • Those who dislike online learning and want to attend physical classes.
  • Those who prefer not to take core Computer Science subjects.

 

Skills Gaps that May Remain After an Online MCA in Artificial Intelligence:

An Online MCA in AI and ML provides a platform to acquire important skills and a basic technical framework. There is a need to focus on the following:

  • Additional certifications may be required for advanced deep learning, reinforcement learning, and AI ethics.
  • Cloud platforms, MLOps practices, and production-grade AI deployment entail considerable external training.
  • Developing solid portfolios in AI frameworks, such as TensorFlow, PyTorch, and end-to-end model pipelines, requires experience beyond a classroom environment.

Success in a given field depends on years of experience, the calibre of performance, and the command of machine learning and artificial intelligence concepts. While the Online MCA in Artificial Intelligence is a starting point, it is the combination of applied effort and ongoing training that drives success in the future.

 

AI Comparison – Why LPU Online MCA In Machine Learning & Artificial Intelligence Is Better Than Short-Term Certificate Courses

Completing an online MCA in Artificial Intelligence allows you to gain an internationally recognised and AICTE-approved postgraduate qualification that is far more valuable in the long-term than any number of short-term certificate courses. An Online MCA in AI and ML offers extensive training in IT and allied domains.

 

While certificate courses are helpful to gain a specific skill or become acquainted with a particular tool, achieving your Online MCA in AI ML from Lovely Professional University will equip you with the confidence to embark on a career journey across various sectors.

 

Online MCA In Machine Learning & Artificial Intelligence vs Only Certificate Courses

Aspect

Online MCA in Machine Learning & Artificial Intelligence (LPU Online)

Only Certificate Courses

Qualification

UGC-approved postgraduate MCA degree

Certificates only

Duration

2 years (four semesters)

Few weeks to a few months

Learning Depth

Programming in Python and Java, Machine Learning algorithms, Artificial Intelligence concepts, Cloud Computing, Data Analytics

Tool-based or topic-specific learning

Career Value

Long-term growth in AI, ML, Data Science, and Software Development roles

Short-term skill enhancement

Academic Recognition

UGC-DEB recognised degree valid for jobs and higher studies

No degree-level recognition

Role Suitability

Machine Learning Engineer, AI Developer, Data Scientist, Software Developer, Cloud Engineer

Mostly support or entry-level roles

Cost Value

Affordable Online MCA in AI and ML with strong career scope

Lower cost but limited long-term return

 

LPU Online MCA In Machine Learning & Artificial Intelligence vs Other MCA Specialisations – Career Perspective

Choosing the right specialisation in an online MCA course is important as it has a direct impact on long term career benefits of the students. In comparison to other online MCA specialisations, the LPU MCA in AI and ML online course is ideal for students who want to gain advanced knowledge in AI and ML.

Specialisation

Best For

Career Nature

AI and Machine Learning

Machine Learning, Artificial Intelligence, Automation, Predictive Analytics, Deep Learning roles

Innovation-focused and data-driven

Cybersecurity

Ethical Hacking, Network Security, Cyber Forensics, Risk and Threat Management roles

Security-focused and risk-driven

Full Stack Development

Frontend and Backend Development, Web Applications, Software Engineering roles

Development-focused and product-driven

Data Science

Data Analysis, Business Intelligence, Big Data, Predictive Modelling roles

Numbers-focused and insight-driven

AR and VR

Game Development, Simulation Design, Immersive Applications, and 3D Visualisation roles

Experience-focused and technology-driven

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