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Explore Our Online MCA AI & ML Courses

Student pursuing MCA in Artificial Intelligence (AI) & Machine Learning (ML)
Manipal University Jaipur
MCA in Artificial Intelligence (AI) & Machine Learning (ML)

4.8

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course 24 Months
course INR 1,58,000
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Student pursuing MCA in Artificial Intelligence (AI) & Machine Learning (ML)
Manipal Academy of Higher Education
MCA in Artificial Intelligence (AI) & Machine Learning (ML)

4.5

rating-star
course 24 Months
course INR 2,20,000
download-icon Download Brochure Online MCA

Rankings & Accreditations of Our Online Universities

Rank 58
Ranked 58 amongst India's top universities in 2025
Ranked 58 amongst India's top universities in 2025
Rajasthan's 1st NAAC A+ Accredited University
Rajasthan's 1st NAAC A+ Accredited University
Rank 195
Amongst South Asia's Top Universities (2026)
Amongst South Asia's Top Universities (2026)
UGC-entitled Online Degrees Equivalent to Campus Degree
UGC-entitled Online Degrees Equivalent to Campus Degree
AICTE Norms Compliant
AICTE Norms Compliant
Ranked 301-400
Amongst Worlds Top 400 Universities (2025)
Amongst Worlds Top 400 Universities (2025)
Rank 15
Amongst Private & Deemed Multidisciplinary Universities (2025)
Amongst Private & Deemed Multidisciplinary Universities (2025)
Rank 9
Amongst India's Top 10 Universities (Management) 2024
Amongst India's Top 10 Universities (Management) 2024
Degrees Evaluated by - World Education Services
Degrees Evaluated by - World Education Services
Member of ACU
Member of ACU
Degrees Evaluated by -International Credential Assessment Service of Canada
Degrees Evaluated by -International Credential Assessment Service of Canada
Degrees Evaluated by -International Qualifications Assessment Service
Degrees Evaluated by -International Qualifications Assessment Service
Zambia Qualifications Authority
Zambia Qualifications Authority
Rank 3
Amongst India's Top 3 Universities (2025)
Amongst India's Top 3 Universities (2025)
MAHE
Among India’s Few Universities Granted IOE Status
Among India’s Few Universities Granted IOE Status
Achieved Highest Accreditation Grade by NAAC
Achieved Highest Accreditation Grade by NAAC
AICTE Approved Programs
AICTE Approved Programs
UGC-entitled Online Degrees Equivalent to Campus Degree
UGC-entitled Online Degrees Equivalent to Campus Degree
Rank 36
Amongst South Asia’s Top 40 Universities (2026)
Amongst South Asia’s Top 40 Universities (2026)
Rank 197
Amongst Asia's Top 200 universities (2026)
Amongst Asia's Top 200 universities (2026)
Rank 43
Amongst World’s Top Universities for Quality Education (2025)
Amongst World’s Top Universities for Quality Education (2025)
Rank 1
India’s Top Deemed Universities by ICARE (2025)
India’s Top Deemed Universities by ICARE (2025)
Rank 1
Top Private & Deemed Multidisciplinary University (2025)
Top Private & Deemed Multidisciplinary University (2025)
Rank 2
India’s Top Private Universities in 2022-23
India’s Top Private Universities in 2022-23
Rank 253
Amongst Best Global Universities in Asia
Amongst Best Global Universities in Asia
Degrees Evaluated by - World Education Services
Degrees Evaluated by - World Education Services
Degrees Evaluated by -International Credential Assessment Service of Canada
Degrees Evaluated by -International Credential Assessment Service of Canada
Degrees Evaluated by -International Qualifications Assessment Service
Degrees Evaluated by -International Qualifications Assessment Service

What is an MCA in AI & ML?

An MCA in AI & ML is a specialized postgraduate study which integrates the deep understanding of computer applications with the most cutting-edge innovations like artificial intelligence, machine learning, data science, and automation.

Category Description

Description

A two-year postgraduate program focused on Artificial Intelligence and Machine Learning, designed to equip learners with expertise in intelligent systems, data-driven technologies, automation, predictive analytics, and advanced computing applications across industries.

Career Prospects

Sectors: IT Companies, Healthcare, Finance, E-commerce, EdTech, Cybersecurity, Robotics, Automotive, and Consulting Firms.

Roles: AI Engineer, Machine Learning Engineer, Data Scientist, AI Research Analyst, Business Intelligence Analyst, NLP Engineer, Robotics Specialist, and Software Developer.

Reasons to Pursue

High industry demand, future-ready career opportunities, strong salary potential, innovation-driven roles, exposure to emerging technologies, problem-solving expertise, and opportunities in global tech industries.

Curriculum

Artificial Intelligence, Machine Learning Algorithms, Deep Learning, Data Science, Python Programming, Neural Networks, Natural Language Processing, Big Data Analytics, Cloud Computing, and Computer Vision.

Eligibility Criteria

A bachelor’s degree from a recognized university, preferably in Computer Applications, Computer Science, IT, Engineering, or related fields, is generally required for admission.

Why Choose an MCA in AI & ML as a Specialization?

An MCA in AI & ML equips learners with advanced skills in artificial intelligence, machine learning, data analysis, and intelligent system development. It is an ideal specialization for individuals interested in emerging technologies, automation, problem-solving, and building innovative tech-driven solutions.

High Industry Demand
High Industry Demand

AI & ML talent is one of the most in-demand skills in the world as businesses rapidly implement smart tech to power automation, analytics and decision making.

Future Career Opportunities
Future Career Opportunities

The MCA in AI & ML enables learners to take on new-age roles like AI Engineer, Data Scientist, Machine Learning Engineer, and AI Consultant across industries.

Significant Development of Technical Skills
Significant Development of Technical Skills

This specialization will give you the knowledge to program, analyze data, understand neural networks, deep learning, and predictive modeling. This will make you a very competitive candidate.

Cross-Industry Use Cases
Cross-Industry Use Cases

AI & ML are changing industries such as healthcare, finance, e-commerce, cybersecurity, education, automotive, and more, generating many career opportunities.

Possibility for Innovation and Growth
Possibility for Innovation and Growth

This industry fosters creativity, research, and problem solving, as well as providing high salary potential and long-term career development in the ever-changing digital economy.

Course Curriculum

The AI & ML program syllabus aims at building a strong foundation in computer applications and exposes the learners to advanced technologies that would shape their future. It combines theoretical concepts, practical projects, and industry-related tools to equip learners for AI-driven roles.

Semester 1 Subjects

Fundamentals of Computer

Fundamental of Mathematics

Discrete Mathematics and Graph Theory

Python Programming

Programming & Problem-Solving using C

Relational Database Management System

Data Visualization

Relational Database Management – Lab

Programming & Problem-Solving using C – Lab

Python Programming – Lab

Semester 2 Subjects

Core Subjects

Computer Networks & Protocols

Object Oriented Programming using JAVA

Operating System

Data Structure and Algorithms

Computer Architecture

Object Oriented Programming using JAVA – Lab

Data Structure and Algorithms – Lab

Elective/Specialization:

Artificial Intelligence

Fundamentals of Cloud Computing

Cybersecurity Essentials

IoT Essentials

Fundamentals of Artificial Intelligence and Problem Solving

Semester 3 Subjects

Core Subjects

Unix & Shell Programming

Web Technology

Software Engineering & Project Management

Unix & Shell Programming – Lab

Web Technology – Lab

Elective/Specialization:

Categorical Data Analysis and Generalized Linear Models

Deep Learning and Text Mining

Cloud Architecture and Services

Google Cloud Essentials

Cyber Law and Ethics

Ethical Hacking

Data Mining Techniques

Blockchain Technologies

Introduction to Machine Learning

Fundamentals of Unsupervised Learning

Semester 4 Subjects

Core Subjects

Mobile Application Development

Project Work

Elective/Specialization:

Applied Data Analytics

Cloud Application Development

Cryptography and Network Security

Big Data Analytics and Business Intelligence

AI in Project Management

Semester 1 Subjects

Mathematics for Computing

Business Communication

Problem Solving using C

Operating Systems

Software Engineering

Semester 2 Subjects

Database Management with Structured Query Language

Data Analytics and Visualization with Python

Object Oriented Programming with Java

Data Structures and Algorithms

Semester 3 Subjects

Computer Networks

Web Technologies

Machine Learning Methods

Data Visualization Using Tableau and Power BI

Research Methodology

Skill Lab

Semester 4 Subjects

Core Subjects

Project

Specialization:

Deep Learning Principles and Applications

Artificial Intelligence

Big Data Analytics

Computer Vision

Cloud Architecture and Management

Cloud DevOps

Cloud Application and Database with Java

Cloud Security Essentials

Basics in Information Security

Forensic Investigation

Cyber Crime Intervention

Cloud Security Essentials

Back-end Web Development

Front-end Web Development

Human-Computer Interaction

Cloud Security Essentials

View Detailed Curriculum

Skills You’ll Gain with an Online MCA in AI & ML

Here are some of the key skills learners can gain through an MCA in AI & ML program.

Skill What You'll Learn
Machine Learning Algorithms Learn how machines analyze data, identify patterns, and make predictions using supervised and unsupervised learning techniques.
Programming & Development Build expertise in programming languages like Python, data structures, algorithms, and AI model development.
Data Science & Analytics Understand data collection, cleaning, visualization, and analysis to generate actionable insights from large datasets.
Deep Learning & Neural Networks Gain knowledge of neural networks, deep learning models, and AI systems used in speech recognition, image processing, and automation.
Natural Language Processing (NLP) Learn how AI understands, processes, and generates human language for applications like chatbots and virtual assistants.
Computer Vision Explore image recognition, object detection, and visual data processing used in healthcare, security, and autonomous systems.
AI Problem-Solving & Decision-Making Develop analytical thinking and problem-solving skills to create intelligent systems that support business and technological decisions.

Eligibility Criteria

Check the eligibility criteria for Online MCA in AI & ML programs. Learners can analyze academic qualifications, admission requirements, and program expectations to identify the right course that corresponds with their career goals in artificial intelligence and machine learning.

Educational qualification

Educational qualification

Candidates must have completed 10+2+3-year bachelor’s degree in Computer Applications/Computer Science/Information Technology from a recognized university/institution, or an equivalent qualification as recognized by the Association of Indian Universities (AIU) or other competent bodies

 

Candidates who have completed 10+2+3-year bachelor’s degree from other streams like Science, Business Administration, Business Management, Arts & Humanities, Commerce, etc. are also eligible for MCA admission but they have to attend and complete a compulsory bridge course in fundamentals of computer and IT along with their Semester 1 courses. Additionally, candidates who have not studied mathematics during their 10 + 2/ bachelor’s degree programs must attend and complete a compulsory bridge course in mathematics along with other semester 1 courses.

Grades

Grades

Candidates must have a minimum of 50% marks in aggregate in graduation (45% for reserved categories).

Educational qualification

Educational qualification

Candidates must have completed 10+2+3-year bachelor’s degree in Computer Applications/Computer Science/Information Technology from a recognized university/institution, or an equivalent qualification as recognized by the Association of Indian Universities (AIU) or other competent bodies.

 

Candidates who have completed 10+2+3-year bachelor’s degree from other streams like Science, Business Administration, Business Management, Arts & Humanities, Commerce, etc. are also eligible for MCA admission but they have to attend and complete a compulsory bridge course in fundamentals of computer and IT along with their Semester 1 courses. Additionally, candidates who have not studied mathematics during their 10 + 2/ bachelor’s degree programs must attend and complete a compulsory bridge course in mathematics along with other semester 1 courses.

 

Candidates who have completed their 10+2 or graduate level education outside India must produce a certificate of equivalence issued by the Association of Indian Universities.

Grades

Grades

Candidates must have a minimum of 50% marks in aggregate in graduation.

Other requirements

Other requirements

Candidates who are not Indian citizens or residing outside India and holding NRE or PIO status will be billed an international fee for respective degrees & may need to submit documents mentioned but not limited to CV, address proof, valid visa, PR card & passport copy as part of the application process.

Educational qualification

Educational qualification

Candidates must have completed 10+2+3-year bachelor’s degree in Computer Science/Computer Applications/IT or an equivalent degree from a university/institution as recognized by the Association of Indian Universities (AIU) or other competent bodies.

 

Candidates who have completed 10+2+3-year bachelor’s degree in any other discipline must have studied mathematics in bachelor’s or 10+2. Such candidates need to complete the additional bridge courses as per the norms of the university.

Grades

Grades

Candidates must have a minimum of 50% marks in aggregate in graduation.

Work experience

Work experience

Work experience in reputed organizations is required. Fresh graduates must submit a Statement of Purpose (SOP) video to apply.

Educational qualification

Educational qualification

Candidates must have completed 10+2+3-year bachelor’s degree in Computer Science/Computer Applications/IT or an equivalent degree from a university/institution as recognized by the Association of Indian Universities (AIU) or other competent bodies.

 

Candidates who have completed 10+2+3-year bachelor’s degree in any other discipline must have studied mathematics in bachelor’s or 10+2. Such candidates need to complete the additional bridge courses as per the norms of the university.

 

Candidates who have completed their 10+2 or graduate level education outside India must produce a certificate of equivalence issued by the Association of Indian Universities.

Grades

Grades

Candidates must have a minimum of 50% marks in aggregate in graduation.

Work experience

Work experience

Work experience in reputed organizations is required. Fresh graduates must submit a Statement of Purpose (SOP) video to apply.

Other requirements

Candidates who are not Indian citizens or residing outside India and holding NRE or PIO status will be billed an international fee for respective degrees & may need to submit documents mentioned but not limited to CV, address proof, valid visa, PR card & passport copy as part of the application process

Note: NRI & Foreign applicants can find specific MCA eligibility details here

Course Duration & Fees

Full course fee (Four semesters)

INR 1,58,000

Inclusive of all taxes

An additional non-refundable application fee of INR 500 is to be paid at the time of admission

Each semester fee

INR 39,500

Inclusive of all taxes

Course duration

2 Year (4 Semesters)

note
Note for online payments
emi
EMI options is available

Full course fee (Four semesters)

USD 2,432

Inclusive of all taxes

Each semester fee

USD 608

Inclusive of all taxes

note
Note for online payments

Full course fee (Four semesters)

USD 2,836

Inclusive of all taxes

Each semester fee

USD 709

Inclusive of all taxes

note
Note for online payments

Full course fee (Four semesters)

USD 2,128

Inclusive of all taxes

Each semester fee

USD 532

Inclusive of all taxes

note
Note for online payments
Note: NRI & Foreign applicants can find specific MCA fee details here

Full course fee (Four semesters)

INR 2,20,000

Inclusive of all taxes

Each semester fee

INR 55,000

Inclusive of all taxes

Course duration

2 Year (4 Semesters)

note
Note for online payments
emi
EMI options is available

Full course fee (Four semesters)

USD 2,800

Inclusive of all taxes

Each semester fee

USD 700

Inclusive of all taxes

note
Note for online payments
Note: NRI & Foreign applicants can find specific MCA fee details here

Admission Process

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1

Application

Fill in your basic, education & work experience-related details and pay the application fee to register.

*Fresh graduates applying to a program at MAHE are required to submit a Statement of Purpose (SOP) video as part of their application.

2

Fee payment

Pay the admission fee for the first semester/year or full program.

3

Document upload

Upload supporting documents & submit your application.

4

University approval

The university will evaluate your documents to confirm your admission.

Read Full MCA Admission Details note

Career Opportunities

Given below is a table that lists the career opportunities after an Online MCA in AI & ML.

Career Role Job Description
AI Engineer Develop, train, and deploy AI models and intelligent systems that automate tasks, improve decision-making, and solve complex business problems.
Machine Learning Engineer Design and implement machine learning algorithms, optimize predictive models, and manage large datasets for real-world applications.
Data Scientist Analyze structured and unstructured data, generate insights, build predictive models, and support data-driven business strategies.
NLP Engineer Develop systems that enable machines to understand and process human language for applications like chatbots, translation tools, and virtual assistants.
Computer Vision Engineer Build AI-powered image and video recognition systems used in facial recognition, healthcare imaging, autonomous vehicles, and surveillance technologies.
Business Intelligence Analyst Interpret business data, create visual reports, identify trends, and help organizations make strategic decisions using analytics and AI tools.
Read Full MCA Career Details note

Best Universities in India for Online MCA in AI & ML

An MCA in AI & ML is the most sought-after course, and one should choose only the best university to learn from. Here is the list of best universities in India for Online MCA for the specialization.

Universities Details

Manipal University Jaipur (MUJ)  

MUJ is a NAAC A+ accredited university that prepares students for the future workplace with its University Grants Commission (UGC)-enabled online degree, which has also received a Quacquarelli Symonds (QS) ranking

Manipal Academy of Higher Education (MAHE) 

An institution of eminence, MAHE has been ranked as one of the top five universities of India by the National Institution Ranking Framework (NIRF) – the premier HEI ranking authority in India

Other Online MCA Specializations to Consider

In addition to AI & ML, Manipal Universities offer other industry-relevant MCA electives for learners to specialize in. Based on your future career aspirations and goals, you can select any of the following disciplines as part of the university’s MCA program:

Specializations Description

MCA in AI & Data Science

Designed with aspiring tech leaders in mind, the program equips professionals with the skills to become future-ready.

MCA in Cybersecurity 

Master the domain of information security by learning all about risk management, threat intelligence, and more.

MCA in Comprehensive Emerging Technologies 

Gain expertise in newly emerging technologies in the industry—Blockchain, IoT, Business Intelligence, and Data Mining, Cloud Computing, Frontend Development.

MCA in Cloud Computing 

Develop expertise in cloud technologies, infrastructure management, and scalable application deployment for modern digital enterprises.

MCA in Full End Development 

Gain end-to-end software development skills to build, manage, and deploy dynamic web and mobile applications.

Frequently asked questions

What is the salary of an MCA in Artificial Intelligence (AI) & Machine Learning (ML)?

The average annual salary of a common career role after graduating with an MCA in AI & ML (AI Software Developer) is estimated in the range of INR 14.5 to INR 16 LPA (approximately).

Source: AmbitionBox

Is an MCA in Artificial Intelligence (AI) & Machine Learning (ML) worth it?

Yes, an MCA in AI & ML is highly worthwhile for building a future-proof career and earning a high salary package after graduation.

How many years is the MCA in the AL & ML course?

The average duration of the program at most Indian universities is around 2 years, divided into 4 semesters.

What are the eligibility criteria for an MCA in AI & Machine Learning?

The key eligibility criteria of the course are as follows:

  • Complete a 10+2+3-year Bachelor’s degree in Computer Science/Computer Applications/IT.
  • An equivalent degree from a university/institution recognized by the Association of Indian Universities (AIU) or other competent bodies is also accepted.
  • A minimum of 50% aggregate at the undergraduate level is desirable.
  • Work experience in reputed organizations is required; fresh graduates must submit a Statement of Purpose (SOP) video as part of the application.

Who should choose an MCA in Artificial Intelligence & ML?

The course is generally considered a suitable choice for graduates from BCA, BTech, and BSc programs, as well as professionals in IT, Computer Science, or quantitative fields.

What skills will I learn in this course?

Some of the core technical and soft skills that an MCA in AI & ML imparts to learners are:

  • Python & R Programming
  • Deep Learning
  • Data Analysis & Visualization
  • Problem-solving
  • Analytical thinking

What are the career options after an MCA in Artificial Intelligence (AI) & Machine Learning (ML)?

Some of the top career prospects that unlock after completing an MCA in AI & ML course are:

  • ML Architect
  • AI Software Developer
  • Chatbot Developer
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