Online MCA In Generative AI
(Online MCA In Generative AI From Top Colleges In India)
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Online MCA in Generative AI is a two-year postgraduate program focused on designing and developing AI-driven content generation and intelligent systems. It covers generative AI models, deep learning, natural language processing, computer vision, AI-driven creative applications, data analytics, and model deployment practices. Candidates with a relevant bachelor’s degree are eligible for admission.
- Course Duration: 2 years (24 months)
- Study Mode: 100 % Online
- Accreditation: UGC, WES approved & NAAC accredited
- EMI Options: You’ll have access to budget-friendly payment plans
- Last date of admission: Ongoing
This information is provided for audience reference only. Please visit the university official website for the most accurate and updated details.
Admissions for online MCA programs for the academic year 2026 are currently ongoing.
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Overview of Online MCA Courses In Generative AI
Online MCA in Generative AI is a 2-year postgraduate program that helps you in understanding machine learning in a better way. This program is designed to disseminate the hidden insights to the problem that can be solved with Artificial Intelligence. Online MCA in Machine Learning program is for both recent graduates and working professionals.
A 2-year postgraduate degree in online MCA in Generative AI can help you better comprehend different aspects of machine learning. This programme is intended to convey the hidden insights into the problem that Artificial Intelligence can address. Both recent graduates and working professionals can benefit from the online MCA in Machine Learning programme.
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Program Highlights & Advantages of Online MCA In Generative AI
- The Online MCA in Generative AI is a postgraduate program designed for students seeking advanced knowledge in artificial intelligence and machine learning.
- The program spans 2 years, providing comprehensive training in AI concepts, algorithms, and applications.
- Candidates must have completed graduation from a recognized university to be eligible for admission.
- The program typically costs between INR 50,000 and INR 3,00,000, depending on the university and specialization.
- Graduates can expect a starting salary in the range of INR 7,00,000 to INR 15,00,000 per annum, which grows with experience and expertise.
- Popular career roles include Data Scientist, Machine Learning Engineer, Research Scientist, Business Intelligence Developer, AI Data Analyst, and other AI-focused positions.
- Graduates find opportunities across industries such as IT, Banking, Finance, Healthcare, and Supply Chain, among others.
- Leading organizations hiring Generative AI professionals include Accenture, IBM, Infosys, EY, Amazon, Cognizant, and similar multinational firms.
Top Online MCA Courses In Generative AI from Top Universities In India
Amity University Online
MCA Online from Amity University
📍 Noida, Uttar Pradesh
Industry Collaborations
Master’s Degree
24 Months
₹ 42,500/- Per Semester
LPU University Online
MCA Online from LPU University
📍 Jalandhar, Punjab
Guest Lectures by Industry Experts Master’s Degree 24 Months
₹ 37,000/- Per Semester
Manipal University Online
MCA Online from Manipal University
📍 Manipal, Karnataka
Google Cloud Computing Curr. Master’s Degree 24 Months
₹ 39,500/- Per Semester
Jain University Online
MCA Online from Jain University
📍 Coimbatore, Tamil Nadu
Outcome-based learning Master’s Degree 24 Months
₹ 40,000/- Per Semester
Amrita Ahead University Online
MCA Online from Amrita University
📍 Bengaluru
Industry-Certifications Master’s Degree 24 Months
₹ 35,000/- Per Semester
University of Mysore Online
MCA Online from University of Mysore
📍 Bengaluru
Affordable Fees Structure Master’s Degree 24 Months
₹72,625/-
Online MCA In Generative AI Eligibility Criteria & Duration
Eligibility (Graduation or its equivalent): The eligibility criteria of online MCA in Generative AI program are mentioned in the table below:
- The candidates must be graduated in the relevant stream.
- The candidates must have graduated from a recognized university.
Duration (24 months): – The duration of online MCA in Generative AI is 2 years and includes 4 semesters.
Online MCA In Generative AI Fees Structure In 2025
The average academic fee of online MCA in Generative AI is between Rs. 1,00,000 and Rs. 3,00,000. However, the academic fee of online MCA in Generative AI vary as per the university. Flexible Payment Options for all Students:
- One-time full payment option available
- Semester-wise payment facility
- Annual payment plans
- Easy EMI options to reduce financial burden
These flexible payment structures allow students to choose a plan that best suits their budget and convenience.
Top Online MCA In Generative AI Universities Fees Comparison
| List of Universities | Course Fees | Detailed Fee Structure |
|---|---|---|
| MAHE Manipal Online MCA in Generative AI | INR 2.20 Lakhs | Semester-wise Fees: INR 55,000 |
| Amrita Online MCA in Generative AI | INR 1.95 Lakhs | Semester-wise Fees: INR 50,000 |
| Amity Online MCA in Generative AI | INR 1.70 Lakhs | Semester-wise Fees: INR 42,500 |
| UPES Online MCA in Generative AI | INR 1.70 Lakhs | Full Program Fees: INR 1.70 Lakhs |
| LPU Online MCA in Generative AI | INR 1.40 Lakhs | Semester-wise Fees: INR 35,000 Registration Fees: INR 600 Exam Fees (Semester-wise): INR 2000 |
| Shobhit Online MCA in Generative AI | INR 1.12 Lakhs | Semester-wise Fees: INR 28,000 Registration Fees: INR 600 Exam Fees (Semester-wise): INR 1000 |
| Chandigarh Online MCA in Generative AI | INR 1.05 Lakhs | Semester-wise Fees: INR 26,250 |
Online MCA Programs are Accredited
Gain industry-oriented knowledge from leading faculty and industry experts through Online MCA program from top online universities. Learn through a dynamic mix of video lectures, real-world case studies, hands-on projects, assignments, and interactive live sessions.
Other Top Online MCA specializations
There are several other MCA (Master of Computer Applications) specializations that students can pursue to align with emerging technologies and industry demands. Some notable options include. In 2026, the demand for AI, Machine Learning, and Data Analytics specializations is rapidly growing, making them top choices for tech professionals……
| Specialization Name | Description |
|---|---|
| Online MCA in Artificial Intelligence | Focuses on building intelligent systems that can simulate human decision-making and reasoning. |
| Online MCA in Artificial Intelligence and Machine Learning | Combines AI principles with ML algorithms to create predictive and adaptive software solutions. |
| Online MCA in Augmented Reality and Virtual Reality | Trains students to design immersive digital environments for gaming, education, and simulations. |
| Online MCA in Big Data | Emphasizes managing, analyzing, and visualizing massive data sets for business insights. |
| Online MCA in Blockchain | Covers decentralized systems, smart contracts, and secure transaction technologies. |
| Online MCA in Cloud Computing | Teaches scalable storage, virtualization, and distributed computing on cloud platforms. |
| Online MCA in Computer Science and IT | Offers a broad foundation in computing, networking, and software technologies. |
| Online MCA in Cyber Security | Focuses on protecting networks, data, and systems from digital attacks and vulnerabilities. |
| Online MCA in Data Analytics | Involves extracting actionable insights from structured and unstructured data. |
| Online MCA in Data Science | Combines programming, statistics, and domain expertise to interpret complex data for informed decisions. |
| Online MCA in Data Science and Big Data Analytics | Merges data mining, machine learning, and large-scale analytics for predictive modeling. |
| Online MCA in DevOps | Integrates software development and IT operations to enhance deployment speed and reliability. |
| Online MCA in Emerging Technologies | Explores cutting-edge innovations like AI, IoT, and quantum computing. |
| Online MCA in Full Stack Development | Equips learners with front-end and back-end web development skills. |
| Online MCA in Game Development | Focuses on designing, programming, and testing interactive gaming experiences. |
| Online MCA in General | Provides a balanced overview of core computing, programming, and system design concepts. |
| Online MCA in Internet of Things (IoT) | Teaches how to connect and manage smart devices that communicate over networks. |
| Online MCA in Machine Learning | Focuses on algorithms that enable systems to learn from data and improve automatically. |
| Online MCA in Natural Language Processing and LLM Development | Concentrates on building systems that understand and generate human language using large language models. |
| Online MCA in Software Engineering | Covers methodologies, tools, and practices for designing and maintaining reliable software systems. |
Online MCA Program In Generative AI Curriculum (Syllabus/Subjects)
Online MCA in Generative AI is 2-year postgraduation course that is consisted of 4 different semesters. The below tabulate will give a student overview of the subjects they will study in their MCA in Generative AI curriculum.
Online MCA Course In Generative AI Curriculum
24 months | 4 semesters | 15-20 hours/week
- Basic Mathematics (Bridge Course)*
- Fundamentals of Computer (Bridge Course)*
- Programming in Java
- Operating System
- Database Technology
- Computer Networks
- Programming in Java – Practical
- Operating System and Database
- Technology – Practical
- Python Programming
- Advanced Data Structures & Algorithms
- Advanced Web Application
- Development
- Optimization Techniques
- Advanced Data Structure and
- Algorithms – Practical
- Advanced Web Application
- Development – Practical
- Artificial Intelligence and Machine Learning
- IT Infrastructure Management
- Natural Language Processing
- Introduction to Generative AI
- Mini Project
- Large Language Models and Applications
- GenAI Application Development
- Project Work
Is Online MCA In Generative AI Degree Worth It In 2025?
The demand for skilled Generative AI professionals is rising rapidly as industries leverage AI-driven content generation, automation, and intelligent systems. The Online MCA in Generative AI offers a flexible learning pathway for students and working professionals to gain expertise in generative AI models, deep learning, natural language processing, computer vision, data analytics, and cloud-based AI deployment. Graduates are prepared for high-growth roles such as Generative AI Engineer, AI Research Scientist, Prompt Engineer, AI Consultant, NLP Engineer, or Business Intelligence Analyst, with strong career progression as experience and technical proficiency increase.
With affordable fees ranging from ₹1,00,000–₹3,00,000, the program provides a solid technical foundation, hands-on project-based training, and industry-relevant skills, enabling learners to secure rewarding opportunities while continuing their jobs or pursuing additional certifications alongside their studies.
Advantages of Online MCA Program In Generative AI
Teach students the latest skills, tools, and technologies required to design, develop, and deploy advanced Generative AI solutions. This program trains learners in generative AI models, deep learning, natural language processing, computer vision, AI-driven content creation, data analytics, and cloud-based AI deployment, enabling them to build scalable, efficient, and intelligent applications for real-world business challenges.
Learn at your own pace via LMS, recorded lectures, and digital resources.
Best for working professionals looking to upskill and land managerial or leadership roles.
Online MCA In Generative AI often include access to international faculty, industry mentors, and global case studies.
Lower tuition fees compared to regular MCA programs.
Online MCA degrees from UGC-approved universities are treated at par with regular MCA degrees.
Precaution to be taken by the students before enrolling in Programmes
Admission requirements for an Online MCA Degree In Generative AI
The admission process to enroll in an online MCA in Generative AI program involves some basic steps that are quite common to all the universities offering it. Here are some general steps that you will need to follow to join this online program. For any specific details, visit your selected university’s official webpage & proceed with the formalities.
July Admission Session 2026 Started
Admissions for the Online MCA program In Generative AI for the 2026 session are now open. To apply, follow the steps mentioned above and secure your seat early.
The candidates can take admission in the online MCA in Generative AI program online by following the steps below:
- Create your unique login credentials on the university’s official website.
- Then, fill out the application form with all of the essential information.
- Upload the essential documents, such as prior educational qualifications, address verification, and so on, in the next stage.
- After that, pay your academic fee and submit the form online.
- The institution will subsequently send you an email with your enrolment number and other details.
There is no need of entrance exams for online MCA in Generative AI course admission. You only need to passed graduation examination.
Recommended, but Not Mandatory, No prior work experience is needed. A background in business management can help in understanding concepts faster.
Universities will assess the candidate’s academic and extracurricular background.
Some universities will conduct an online interview to evaluate communication skills, technical aptitude, and motivation. You need to always check the specific admission requirements of your preferred university, as they can vary.
Job Opportunities After Online MCA In Generative AI
After completing an online MCA with a specialization in Generative AI, graduates can explore a wide range of high-growth career opportunities. With strong expertise in generative AI models, deep learning, natural language processing, computer vision, AI-driven content creation, data analytics, and model deployment, candidates become highly valuable to IT companies, startups, tech consultancies, and AI-focused organizations across India and abroad.
With the right skill set, experience, and project portfolio, Generative AI professionals can secure top positions in leading organizations. Some of the most popular job roles for Generative AI graduates include:
- Generative AI Engineer
- AI Research Scientist
- Prompt Engineer
- NLP Engineer
- Computer Vision Engineer
- AI Content Developer
- AI Consultant
- Business Intelligence Analyst
- Data Scientist (AI-focused)
- Research Associate (Generative AI)
Salary packages grow significantly with experience and expertise. Graduates typically earn ₹4 LPA to ₹25 LPA, depending on technical skills, project experience, and industry demand..
Top Recruiters
The estimated amount of salary that you can get upon completion of an online MCA program is about 4 LPA to 20 LPA per year. This package is not fixed & varies with the reputation of hiring firms & your knowledge in the computer science field.
The technical skillsets that you gain in this program will make you an ideal candidate for top-rated firms & help you gain a reputed job profile in the same.
| Wipro | Infosys |
| Accenture | Sathyam Mahindra |
| Infotech | IBM |
| TCS | Cognizant |
Regulatory Authorities
Stay informed about recent developments in regulatory authorities overseeing various industries, including finance, education, healthcare, and technology. These updates cover policy changes, compliance guidelines, new regulations, and government initiatives…
Disclaimer
This platform is an independent information and guidance provider for Online MCA programs offered by various UGC-approved universities in India. We are not a university and are not affiliated with any government or private university unless explicitly stated….
All efforts have been made to ensure the accuracy of information; however, applicants are advised to verify details such as eligibility, fees, curriculum, and university recognition directly from the official university websites before applying. We do not guarantee admission, placement, or certification outcomes.
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Frequently Asked Question About Online MCA Programs In Generative AI
An Online MCA in Generative AI is a postgraduate program that focuses on designing and deploying AI-driven solutions, including generative models, deep learning, NLP, computer vision, and AI-based content creation. The program equips students with advanced technical skills for real-world AI applications.
Completely free MCA programs in Generative AI are rare. However, some universities and platforms may offer scholarships, financial aid, or free certification courses that complement an online MCA program.
Graduates can expect starting salaries ranging from ₹4 LPA to ₹7 LPA, which can rise up to ₹25 LPA or more with experience, expertise, and project exposure. Popular roles include AI/ML Engineer, Data Scientist, Generative AI Engineer, and AI Consultant.
Some of the top online MCA programs include:
MAHE Manipal Online MCA in AI and Generative AI
Amity Online MCA in AI and Generative AI
Amrita Online MCA in AI
LPU Online MCA in AI and ML
Yes, online MCA programs are designed for flexibility, allowing working professionals to continue their jobs while studying.
Candidates must have a bachelor’s degree in Computer Science, IT, or a related field. Some universities may also accept graduates from other disciplines with relevant computer knowledge or programming experience.
The fees are range from ₹1,00,000 to ₹3,00,000, depending on the university and specialization. Some universities also offer affordable options and installment-based payment plans.
Universities like Shobhit University, Chandigarh University, and LPU offer affordable online MCA programs, with fees starting as low as ₹1,12,000 to ₹1,40,000 for the full program.
Yes, Amity Online MCA offers a well-structured curriculum with a focus on AI, ML, and Generative AI, along with flexible learning options, industry-relevant training, and placement support.
Graduates can pursue roles such as Generative AI Engineer, AI Research Scientist, Prompt Engineer, NLP Engineer, AI Consultant, Data Scientist, and AI Content Developer in IT firms, startups, tech consultancies, and AI-driven organizations.
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