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ONLINE MCA · Specialization
JAIN Online MCA in Artificial Intelligence & Machine Learning
The JAIN Online MCA in Artificial Intelligence & Machine Learning is a UGC-entitled 2-year master's degree from NAAC A++ graded JAIN (Deemed-to-be University). Master AI/ML engineering — from foundations to deep learning, MLOps and applied research. Live weekend classes, dedicated mentors and 30+ AI tools — built around your workweek.
EMIWeekend classesUGC Entitled
30+ AI Tools
AI Ready
2 Years
Duration
Weekends
Live Classes on
NAAC A++
Top University
JAIN Online MCA in Artificial Intelligence & Machine Learning: key facts
JAIN Online MCA in Artificial Intelligence & Machine Learning is an online master of computer applications programme awarded by JAIN (Deemed-to-be University). The standard duration is 2 years. Compare the eligibility, learning format and costs before applying.
Sources checked: · Content and corrections
| Awarding university | JAIN (Deemed-to-be University) |
|---|---|
| Duration | 2 years / 4 semesters |
| Learning format | Online, with live and recorded classes. |
| Eligibility | A bachelor’s degree of at least three years from a UGC-recognised university. Final-semester undergraduate students may also apply. Minimum aggregate: 50%, with a 5% relaxation for SC/ST applicants. Ask admissions to confirm any mathematics or bridge-course requirements for your qualification. |
| Examinations | Online proctored examinations. University examination disclosures. |
| Programme tuition | ₹1,60,000 (INR) |
| Per semester / per year | ₹40,000 / ₹80,000 |
| Additional charges | ₹2,500 one-time registration; ₹3,000 examination fee per year. |
These are published tuition amounts, not an intake-specific offer. Additional certification, repeat-examination or other applicable charges should be confirmed in the written fee schedule. University fee and eligibility source.
How do I check recognition and admission requirements?
Check the UGC-DEB programme list for JAIN (Deemed-to-be University), the online mode and your admission session. University accreditation and programme entitlement are separate. Check the specific eligibility rules of any employer, professional body or university where you intend to use the degree. Check the UGC-DEB programme list; read university disclosures.
How do I apply?
Choose your programme and elective, check eligibility with admissions, submit the required academic and identity documents, and confirm the intake’s full fee schedule before making payment. Contact admissions for your application requirements.
University programme information · Refund policy · Scholarship information
Why this programme
Every semester builds compounding capabilities.
Not just a list of subjects — a map of what you'll be able to do at work, in interviews, and in your career.
2
Case studies & learn-by-doing
Theory meets practice through real case studies and virtual labs. You graduate with a portfolio of applied work, not just a certificate.
3
Weekend Live Classes
Live classes only — zero workdays disrupted, your career doesn't pause.
4
Personalized academic guidance
Get 1:1 mentorship, a dedicated batch owner, and support before exams when it matters most.
5
Learn How Top Firms Make Decisions
Build real-world skills used by global consulting and finance teams.
6
Future-Ready Skills for Modern Careers
Master the tools and frameworks shaping today's digital economy.
Curriculum
What you'll learn
Industry-aligned syllabus reviewed every semester with 30+ AI tools embedded.
Semester 1
Mathematical Foundations for
Courses offered
- Mathematical Foundations for Computer Science
- Computing Concepts and Problem Solving using C
- Operating Systems
- Data Structures
- Problem Solving using C Lab
- Data Structures Lab
- AI Skills for Future
Skills attained
- Core Computing Competencies
- 1. Analytical Skills
- 2. Computational Thinking
- 3. Programming
- 4. Software Development
- 5. Algorithms
- 6. Data Structures
- 7. Operating Systems
- 8. Problem Solving
- 9. Software Engineering
- 10. Mathematical Modeling
- 11. Discrete Mathematics
- 12. Algorithm Analysis
- 13. Modular Programming
- 14. Memory Management
- 15. System Architecture
LinkedIn certifications
- Programming Foundations: Fundamentals
- C Essential Training
- Programming Foundations: Data Structures
- Operating System Foundations
- Learning Discrete Mathematics
- Python Data Structures and Algorithms
- Artificial Intelligence Foundations: Thinking Machines
- Artificial Intelligence Foundations: Machine Learning
- Computer Science Principles
- Programming Foundations: Algorithms
Semester 2
Advanced Database Systems
Courses offered
- Advanced Database Systems
- Java Programming
- Web Technologies
- Cloud Computing Foundations
- Advanced Database Systems Lab
- Java Programming Lab
- Environmental, Social, and Governance (ESG) in IT
Skills attained
- Core Programming & Enterprise Skills
- 1. Java
- 2. Spring Framework
- 3. SQL
- 4. REST APIs
- 5. Full Stack Development
- 6. Web Development
- 7. Git
- 8. Object-Oriented Programming (OOP)
- 9. Microservices
- 10. Application Security
- 11. Database Design
- 12. Cloud Computing
- 13. DevOps
- 14. Data Modeling
- 15. Unit Testing
LinkedIn certifications
- Java Essential Training
- Learning Java 11
- HTML Essential Training
- JavaScript Essential Training
- Cloud Computing Foundations
- AWS Essential Training for Developers
- Programming Foundations: Databases
- SQL Essential Training
- Java: Memory Management
- Learning REST APIs
Semester 3
Artificial Intelligence and
Courses offered
- Artificial Intelligence and Machine Learning
- Python Programming
- Time Series Analysis and Forecasting
- Artificial Intelligence and Machine Learning Lab
- Python Programming Lab
- Open Elective
Skills attained
- Core AI & Machine Learning Competencies
- 1. Artificial Intelligence Algorithms
- 2. Machine Learning Model Development
- 3. Python for AI Applications
- 4. Time Series Forecasting
- 5. Statistical Learning
- 6. Pattern Recognition
- 7. Predictive Analytics
- 8. Data Wrangling and Feature Engineering
- 10. Forecasting
- 11. Business Intelligence
- 12. Predictive Analytics
- 14. Statistical Modeling
- 15. ARIMA
LinkedIn certifications
- Artificial Intelligence Foundations: Machine Learning
- Python for Data Science Essential Training
- Data Science Foundations: Fundamentals
- Data Visualization: Storytelling
- Applied Machine Learning Algorithms
Semester 4
Computer Vision and
Courses offered
- Computer Vision and Deep Learning
- Natural Language Processing and Generative AI
- MLOps and AI Systems Engineering
- LLM Development
- Strategic Leadership in IT
- Project
Skills attained
- Core Advanced AI Competencies
- 1. Deep Learning
- 2. Computer Vision
- 3. Convolutional Neural Networks
- 4. Natural Language Processing Techniques
- 5. Transformer Models
- 6. Generative AI Models
- 7. Large Language Model Development
- 8. Training and Optimization
- 9. MLOps
- 10. System Deployment
- 11. AI Model Monitoring
- 12. xAI
- 13. AI Governance
- 14. Intelligent Systems
- 15. Pattern Recognition
LinkedIn certifications
- Strategic Thinking
- Generative AI for Business Leaders
- Machine Learning with Python: Foundations
- Natural Language Processing for Speech and Text
- Integrating Generative AI into Business Strategy
Outcomes
Career outcomes
Graduates go on to lead at top firms — or launch their own ventures.
★
Top hiring partners
Active placement support via dedicated career-services team.
★
Industry-led curriculum
Case studies and capstones with leading firms.
★
Lifelong alumni network
50,000+ alumni across 35 countries.
Apply today
Ready to transform your career?
Speak to an advisor, get course details, fee structure, and scholarships you qualify for.
Frequently asked
Questions, answered.
Is this online degree UGC-entitled?
Check the UGC-DEB programme list for JAIN (Deemed-to-be University), the online mode and your admission session. University accreditation and programme entitlement are separate. Check the specific eligibility rules of any employer, professional body or university where you intend to use the degree.
How are live classes conducted?
Live sessions happen over weekends (Saturday & Sunday) on our digital campus. All classes are recorded and available for unlimited playback.
Can I pay in EMI?
Published tuition for students in India is ₹1,60,000 for the programme, or ₹40,000 per semester. Registration and examination charges are additional. Figures were checked on 2026-09-23; confirm the fee schedule for your intake before payment.
What is the eligibility?
A bachelor’s degree of at least three years from a UGC-recognised university. Final-semester undergraduate students may also apply. Minimum aggregate: 50%, with a 5% relaxation for SC/ST applicants. Ask admissions to confirm any mathematics or bridge-course requirements for your qualification.
Is placement support provided?
Career options depend on your elective, prior experience, skills and the requirements of each role. Career preparation includes resume, interview and professional-profile guidance. Completing the programme does not guarantee a job, promotion or salary.
How long does the programme take?
The standard duration of the online Master of Computer Applications is 2 years (4 semesters).