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Online MCA Courses Online MCA in AI & ML
Compare Online Courses, Fees, Eligibility, Syllabus & Specializations
Admission end date: 25th Jul 2026 Explore Our Online MCA AI & ML Courses
Rankings & Accreditations of Our Online Universities
Rank 58
Ranked 58 amongst India's top universities in 2025
Rajasthan's 1st NAAC A+ Accredited University
Rank 195
Amongst South Asia's Top Universities (2026)
UGC-entitled Online Degrees Equivalent to Campus Degree
AICTE Norms Compliant
Ranked 201-300
Amongst Worlds Top 300 Universities (2026)
Rank 6
Amongst Private & Deemed Multidisciplinary Universities (North Zone, 2026)
Rank 7
Amongst Private Distance and Online Learning Programs (2026)
Rank 9
Amongst India's Top 10 Universities (Management) 2024
Degrees Evaluated by - World Education Services
Member of ACU
Degrees Evaluated by -International Credential Assessment Service of Canada
Degrees Evaluated by -International Qualifications Assessment Service
Zambia Qualifications Authority
Rank 3
Amongst India's Top 3 Universities (2025)
MAHE
Among India’s Few Universities Granted IOE Status
Achieved Highest Accreditation Grade by NAAC
AICTE Approved Programs
UGC-entitled Online Degrees Equivalent to Campus Degree
Rank 36
Amongst South Asia’s Top 40 Universities (2026)
Rank 197
Amongst Asia's Top 200 universities (2026)
Rank 23
Amongst World’s Top Universities for Quality Education (2026)
Rank 1
India’s Top Deemed Universities by ICARE (2025)
Rank 1
Top Private & Deemed Multidisciplinary University (2026)
Rank 2
India’s Top Private Universities in 2022-23
Rank 253
Amongst Best Global Universities in Asia
Degrees Evaluated by - World Education Services
Degrees Evaluated by -International Credential Assessment Service of Canada
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
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
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
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
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
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.
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
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
Candidates must have a minimum of 50% marks in aggregate in graduation (45% for reserved categories).
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
Candidates must have a minimum of 50% marks in aggregate in graduation.
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
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
Candidates must have a minimum of 50% marks in aggregate in graduation.
Work experience
Work experience in reputed organizations is required. Fresh graduates must submit a Statement of Purpose (SOP) video to apply.
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
Candidates must have a minimum of 50% marks in aggregate in graduation.
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
Online MCA in AI & ML Course Syllabus
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.
Course Fees
Full Fee Payment
INR 1,58,000
INR 1,42,200
10% discount
Annual Fee Payment
INR 79,000
INR 71,100
10% discount
Semester Fee Payment
INR 39,500
INR 35,550
10% discount
No-cost EMI Starting
INR 5,925/Month
12/6-month tenure
An additional non-refundable application fee of INR 500 is to be paid at the time of admission
Learners opting for a loan or financing will not be eligible for any additional discounts or offers.
Note for online payments
Full Fee Payment
USD 2,432
USD 2,189
10% discount
Annual Fee Payment
USD 1,216
USD 1,094
10% discount
Semester Fee Payment
USD 608
USD 547
10% discount
Note for online payments
Full Fee Payment
USD 2,836
USD 2,552
10% discount
Annual Fee Payment
USD 1,418
USD 1,276
10% discount
Semester Fee Payment
USD 709
USD 638
10% discount
Note for online payments
Full Fee Payment
USD 2,128
Inclusive of all taxes
Semester Fee Payment
USD 532
Inclusive of all taxes
Note for online payments
Note: NRI & Foreign applicants can find specific MCA fee details here
Full Fee Payment
INR 2,20,000
INR 2,09,000
5% discount
Annual Fee Payment
INR 1,10,000
No discount
Semester Fee Payment
INR 55,000
No discount
No-cost EMI Starting
INR 9,167/Month
24/18/12/6-month tenure
An additional non-refundable application fee of INR 1500 is to be paid at the time of admission
Note for online payments
Full Fee Payment
USD 2,800
USD 2,660
5% discount
Annual Fee Payment
USD 1,400
No discount
Semester Fee Payment
USD 700
No discount
An additional non-refundable application fee of USD 50 is to be paid at the time of admission
Note for online payments
Note: NRI & Foreign applicants can find specific MCA fee details here
Admission Process
1
*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.
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. |
Industry Trends & Future Scope
Explore the latest industry trends and emerging opportunities to shape the future of Artificial Intelligence and Machine Learning.
Generative AI Revolution Creating New Opportunities
Generative AI technologies are changing how businesses create content, automate coding, boost customer experiences, and enhance decision-making. Professionals with expertise in Artificial Intelligence and Machine Learning are increasingly in demand to build, train, and deploy these advanced AI systems.
Increasing Integration of AI & ML Across Industries
From healthcare diagnostics and financial forecasting to e-commerce recommendations and smart manufacturing, AI and ML are becoming core business technologies. This broad adoption is generating strong demand for experienced professionals capable of developing intelligent, data-driven solutions.
Growing Focus on Ethical and Explainable AI
As organizations rely more on AI-powered decision-making, there is a rising demand for transparent, fair, and responsible AI systems. AI & ML specialists who understand ethical AI practices, bias prevention, and model interpretability will play a critical role in future technology development.
Advancements in AI-Driven Data Analytics and Automation
The combination of machine learning, big data, and cloud computing is enabling businesses to automate complex processes and gain usable insights from huge datasets. This trend is expanding career opportunities in AI engineering, machine learning, data science, and intelligent automation.
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 |
|---|---|
|
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 |
|
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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 |
|---|---|
|
Designed with aspiring tech leaders in mind, the program equips professionals with the skills to become future-ready. |
|
|
Master the domain of information security by learning all about risk management, threat intelligence, and more. |
|
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Gain expertise in newly emerging technologies in the industry—Blockchain, IoT, Business Intelligence, and Data Mining, Cloud Computing, Frontend Development. |
|
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Develop expertise in cloud technologies, infrastructure management, and scalable application deployment for modern digital enterprises. |
|
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Gain end-to-end software development skills to build, manage, and deploy dynamic web and mobile applications. |
Frequently asked questions
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