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ONLINE MCA · Specialization
JAIN Online MCA in FinTech & Artificial Intelligence
The JAIN Online MCA in FinTech & Artificial Intelligence is a UGC-entitled 2-year master's degree from NAAC A++ graded JAIN (Deemed-to-be University). Apply AI, blockchain and modern FinTech architectures to transform financial products. 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 FinTech & Artificial Intelligence: key facts
JAIN Online MCA in FinTech & Artificial Intelligence 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. |
| Fees | Request a current written fee quotation for this elective from admissions, including tuition, registration, examinations and any certification charges. |
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.
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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.
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Weekend Live Classes
Live classes only — zero workdays disrupted, your career doesn't pause.
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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.
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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
- Analytical Skills
- Programming
- Software Development
- Algorithms
- Data Structures
- Operating Systems
- Problem Solving
- Software Engineering
- Mathematical Modeling
- Discrete Mathematics
- Algorithm Analysis
- Modular Programming
- Memory Management
- 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
- Java
- Spring Framework
- SQL
- RESTful APIs
- Full Stack Development
- Web Development
- Git
- Object-Oriented Programming (OOP)
- Microservices
- Application Security
- Database Design
- Cloud Computing
- DevOps
- Data Modeling
- 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
- Digital Finance and FinTech Ecosystem
- Artificial Intelligence and Machine Learning Lab
- Python Programming Lab
- Open Elective
Skills attained
- Artificial Intelligence
- Machine Learning
- Python Programming
- Deep Learning Fundamentals
- Financial Data Analysis
- Digital Finance Concepts
- FinTech Ecosystem Understanding
- Predictive Modeling
- Supervised & Unsupervised Learning
- Statistical Analysis
- Data Preprocessing
- Feature Engineering
- Model Evaluation
- Risk Modeling Basics
- Data Visualization
LinkedIn certifications
- Artificial Intelligence Foundations: Machine Learning
- Machine Learning with Python: Foundations
- Python Essential Training
- Learning Python
- FinTech Foundations and Overview
- Financial Modeling Foundations
- Applied Machine Learning: Foundations
- Python for Data Science and Machine Learning Essential Training (Part 1)
- Learning REST APIs
- Programming Foundations: Software Testing/QA
- Cloud Computing Foundations
- Data Science Foundations: Fundamentals
Semester 4
Financial Analytics using
Courses offered
- Financial Analytics using AI
- Blockchain and Decentralised Finance Technologies
- FinTech Security and Regulatory Compliance
- Generative AI for FinTech Development
- Strategic Leadership in IT
- Project
Skills attained
- Financial Analytics
- Financial Modeling
- Credit Risk Assessment Models
- Algorithmic Trading
- Blockchain Technology
- Smart Contracts
- Cryptocurrency Fundamentals
- Regulatory Compliance
- Cybersecurity in Financial Systems
- Generative AI Applications
- NLP for Financial Text Analysis
- LLM Applications in Finance
- AI Governance
LinkedIn certifications
- Financial Modeling and Forecasting Financial Statements
- Data Analytics for Business Professionals
- Blockchain Basics
- Blockchain Beyond the Basics
- Cybersecurity Foundations
- Risk Management Foundations
- Generative AI for Software Developers
- Natural Language Processing with Python
- Strategic Leadership
- Leadership Strategies for Technology Professionals
- Cloud Architecture: Core Concepts
- DevOps Foundations
Outcomes
Career outcomes
Graduates go on to lead at top firms — or launch their own ventures.
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Top hiring partners
Active placement support via dedicated career-services team.
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Industry-led curriculum
Case studies and capstones with leading firms.
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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?
Request a current written fee quotation for this elective from admissions, including tuition, registration, examinations and any certification charges.
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).