ONLINE MCA · Specialization

JAIN Online MCA in Computer Science & IT

The JAIN Online MCA in Computer Science & IT is a UGC-entitled 2-year master's degree from NAAC A++ graded JAIN (Deemed-to-be University). Cover the full CS/IT stack — systems, software engineering, databases and emerging tech. Live weekend classes, dedicated mentors and 30+ AI tools — built around your workweek.

EMIWeekend classesUGC Entitled
JAIN Online MCA in Computer Science & IT
30+ AI Tools
AI Ready
2 Years
Duration
Weekends
Live Classes on
NAAC A++
Top University
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.

1

Learn from industry professionals

Your instructors are practitioners, not just academics. Get real-world perspective, current industry knowledge, and a network that matters.

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. Elective & Skills Matrix

5

Learn How Top Firms Make Decisions

Build real-world skills used by global consulting and finance teams. 5 COURSES INCLUDED

6

Future-Ready Skills for Modern Careers

Master the tools and frameworks shaping today's digital economy. 5 COURSES INCLUDED

Curriculum

What you'll learn

Industry-aligned syllabus reviewed every semester with 30+ AI tools embedded.

Semester 1

Mathematical Foundations for

7 courses · 14 skills · 10 certifications
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

7 courses · 15 skills · 10 certifications
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
  • REST 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

6 courses · 29 skills · 6 certifications
Courses offered
  • Artificial Intelligence and Machine Learning
  • Python Programming
  • Software Testing
  • AI & Machine Learning Lab
  • Python Programming Lab
  • Open Elective
Skills attained
  • Artificial Intelligence
  • Machine Learning
  • Python
  • Deep Learning
  • Natural Language Processing (NLP)
  • Neural Networks
  • Data Science
  • Supervised Learning
  • Unsupervised Learning
  • Model Evaluation
  • Feature Engineering
  • Data Preprocessing
  • TensorFlow
  • PyTorch
  • Unit Testing
  • Scikit-Learn
  • Reinforcement Learning
  • Model Deployment
  • MLOps
  • Hyperparameter Tuning
  • Python Scripting
  • Object-Oriented Programming (OOP)
  • Debugging
  • Software Testing
  • Integration Testing
  • Automated Testing
  • CI/CD
  • Version Control
  • Performance Testing
LinkedIn certifications
  • Artificial Intelligence Foundations: Machine Learning
  • Python Essential Training
  • Python for Data Science and Machine Learning Essential Training: Part 1
  • Programming Foundations: Software Testing/QA
  • Test Automation Foundations
  • Data Visualization: Storytelling
Semester 4

IT Project Management

6 courses · 15 skills · 10 certifications
Courses offered
  • IT Project Management
  • Big Data Analytics
  • Low-Code/No-Code Application Development
  • Data Visualization
  • Strategic Leadership in IT
  • Project
Skills attained
  • Project Management
  • Agile Methodologies
  • Scrum
  • Big Data
  • Data Analytics
  • Data Visualization
  • Business Intelligence
  • Power BI
  • Tableau
  • Low-Code Development
  • Digital Transformation
  • Business Analysis
  • Dashboard Development
  • Predictive Analytics
  • IT Governance
LinkedIn certifications
  • Project Management Foundations
  • Agile Foundations
  • Learning Big Data Analytics
  • Data Science Foundations: Fundamentals
  • Learning Power BI Desktop
  • Data Visualization: Storytelling
  • Low-Code Development with Power Platform
  • Strategic Thinking
  • Leading with Innovation
  • IT Governance Foundations
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.

Programme Investment

Transparent fee structure

EMI options available. Scholarships up to 25% for eligible learners.

Total MCA Fees
₹130,000
Yearly
₹65,000/-
Semesterly
₹32,500/-
One-time
₹130,000/-
EMI starts at
₹12,781/month

Basic eligibility: Pass in the (10+2) examination or Bachelor's degree depending on program.

Apply today

Ready to transform your career?

Speak to an advisor, get course details, fee structure, and scholarships you qualify for.

Talk to a JAIN Online Advisor
Get course details, fees & free counseling.
Frequently asked

Questions, answered.

Is an Online MCA in Computer Science and IT from JAIN Online worth it?
Yes, pursuing an Online MCA in Computer Science and IT from JAIN Online is worth it, given the comprehensive curriculum, experienced faculty, and industry-relevant skills imparted, which enhance career prospects in the dynamic field of technology with utmost flexibility and accessibility.
What is the salary range after completing an Online MCA in Computer Science and IT?
After completing an Online MCA in Computer Science and IT, one can expect a salary ranging from INR 6-12 lakhs per annum, depending on factors such as skills, experience, and job role.
What is the scope of an Online MCA in Computer Science and IT?
The scope of an Online MCA in Computer Science and IT is vast, with opportunities ranging from software development and database management to cybersecurity and cloud computing. Graduates can find employment in various sectors such as IT services, finance, healthcare, and education, given the increasing reliance on technology in today's digital age.
What are the eligibility criteria for pursuing an Online MCA in Computer Science and IT?
To enroll in the Online MCA in Computer Science and IT program, candidates typically need a bachelor's degree in computer science or a related field from a recognized university. A minimum aggregate score of 50% or an equivalent grade in the qualifying examination.
Is Online MCA in Computer Science and IT better than the on-campus?
Online MCA in Computer Science and IT can be advantageous due to its flexibility, allowing students to balance studies with other commitments. Additionally, it offers accessibility to a wider range of resources and the opportunity for self-paced learning.