MCA at
Sharda University
An advanced MCA program with specializations in AI & Generative AI, MLOps & AI Engineering, Data Science & Big Data, Full-Stack Development, Cloud Computing and Cybersecurity - building industry-ready tech leaders.
Program Overview
Master Technology.
Lead Innovation.
Program Snapshot
Advanced engineering from Day 1 - systems, AI/ML and cloud, on real-world datasets.
An industry-recognised MCA degree awaits you.
A degree from Sharda Online is recognised globally, and is equivalent to an on-campus program from Sharda University — the same certificate, the same grade card, the same UGC-entitled recognition.
Curriculum
MCA 4-Semester Curriculum
Select a specialisation to view its tailored semester-by-semester curriculum.
Year 1 · Computing Foundations & Core Development
Sem 1 & Sem 2 · 3 projects
- Database Management Systems & SQL3
- Computational Thinking & Problem Solving3
- Operating Systems (Unix & the Command Line)3
- Computer Systems, Digital Logic & Architecture3
- Mathematics for Computing: Logic, Statistics & Linear Algebra Essentials3
- Database Systems & SQL Lab1
- Computational Thinking & Problem Solving Lab1
- Operating Systems Lab1
- Data Structures & Algorithmic Problem Solving3
- Application Development with Python3
- Applied Machine Learning & AI Foundations3
- Data Structures Lab1
- Application Development with Python Lab1
- Applied Machine Learning & AI Lab1
- Data Warehousing & Mining3
- Software Engineering, Agile & DevOps Practices3
- Aptitude, Logical Reasoning & Professional Skills2
- Object-Oriented Programming with Java3
Year 2 · Specialisation Capstone & Industry Projects
Sem 3 & Sem 4 · 3 projects
- Common core
- Design & Analysis of Algorithms (with Lab)3
- Object-Oriented Modelling & Design Patterns (with Lab)3
- IT Project & Product Management3
- Specialisation
- Statistical Methods for Data-Driven Decisions4
- Applied Machine Learning Foundations4
- Agentic AI4
- Common core
- Capstone Project / Professional Portfolio6
- Specialisation
- Predictive Analytics with Machine Learning4
- Advanced Natural Language Processing4
- Generative AI Application Engineering (RAG Pipelines, LLMOps & AI Platform Engineering)4
Year 2 Outcomes
Portfolio Ready
P1Multi-Agent Research Synthesis System
LangChain Agents · OpenAI / Llama 3 · Tavily Search API · FastAPI · React
P2LLM Fine-Tuning & RLHF Pipeline Workbench
HuggingFace PEFT · TRL · Python · W&B · vLLM (inference) · FastAPI
P3Context-Aware Agentic Code Assistant
LangChain · OpenAI / Claude API · VSCode Extension API · Node.js · React
Year 1 · Computing Foundations & Core Development
Sem 1 & Sem 2 · 3 projects
- Database Management Systems & SQL3
- Computational Thinking & Problem Solving3
- Operating Systems (Unix & the Command Line)3
- Computer Systems, Digital Logic & Architecture3
- Mathematics for Computing: Logic, Statistics & Linear Algebra Essentials3
- Database Systems & SQL Lab1
- Computational Thinking & Problem Solving Lab1
- Operating Systems Lab1
- Data Structures & Algorithmic Problem Solving3
- Application Development with Python3
- Applied Machine Learning & AI Foundations3
- Data Structures Lab1
- Application Development with Python Lab1
- Applied Machine Learning & AI Lab1
- Data Warehousing & Mining3
- Software Engineering, Agile & DevOps Practices3
- Aptitude, Logical Reasoning & Professional Skills2
- Object-Oriented Programming with Java3
Year 2 · Specialisation Capstone & Industry Projects
Sem 3 & Sem 4 · 3 projects
- Common core
- Design & Analysis of Algorithms (with Lab)3
- Object-Oriented Modelling & Design Patterns (with Lab)3
- IT Project & Product Management3
- Specialisation
- Statistical Methods for Data-Driven Decisions4
- Applied Machine Learning Foundations4
- Agentic AI4
- Common core
- Capstone Project / Professional Portfolio6
- Specialisation
- Predictive Analytics with Machine Learning4
- Advanced Natural Language Processing4
- Generative AI Application Engineering (RAG Pipelines, LLMOps & AI Platform Engineering)4
Year 2 Outcomes
Portfolio ReadyP1Multi-Agent Research Synthesis System
LangChain Agents · OpenAI / Llama 3 · Tavily Search API · FastAPI · React
P2LLM Fine-Tuning & RLHF Pipeline Workbench
HuggingFace PEFT · TRL · Python · W&B · vLLM (inference) · FastAPI
P3Context-Aware Agentic Code Assistant
LangChain · OpenAI / Claude API · VSCode Extension API · Node.js · React
MCA in MLOps & AI Engineering — full curriculum
Semester 1 · Computing Foundations — 18 credits
- Database Management Systems & SQL — 3 credits
- Computational Thinking & Problem Solving — 3 credits
- Operating Systems (Unix & the Command Line) — 3 credits
- Computer Systems, Digital Logic & Architecture — 3 credits
- Mathematics for Computing: Logic, Statistics & Linear Algebra Essentials — 3 credits
- Database Systems & SQL Lab — 1 credits
- Computational Thinking & Problem Solving Lab — 1 credits
- Operating Systems Lab — 1 credits
Semester 2 · Core Programming, Data & AI Foundations — 23 credits
- Data Structures & Algorithmic Problem Solving — 3 credits
- Application Development with Python — 3 credits
- Applied Machine Learning & AI Foundations — 3 credits
- Data Structures Lab — 1 credits
- Application Development with Python Lab — 1 credits
- Applied Machine Learning & AI Lab — 1 credits
- Data Warehousing & Mining — 3 credits
- Software Engineering, Agile & DevOps Practices — 3 credits
- Aptitude, Logical Reasoning & Professional Skills — 2 credits
- Object-Oriented Programming with Java — 3 credits
Semester 3 · Advanced Core — 21 credits
- Design & Analysis of Algorithms (with Lab) — 3 credits
- Object-Oriented Modelling & Design Patterns (with Lab) — 3 credits
- IT Project & Product Management — 3 credits
- Advanced Machine Learning — 4 credits
- Model Deployment & Serving — 4 credits
- Data Engineering for ML Systems — 4 credits
Semester 4 · Capstone — 18 credits
- Capstone Project / Professional Portfolio — 6 credits
- Model Monitoring & Performance Analytics — 4 credits
- Kubernetes & Scalable ML Workloads — 4 credits
- GenAI Ops (RAG Pipelines, LLMOps & AI Platform Engineering) — 4 credits
MCA in Data Science & Big Data — full curriculum
Semester 1 · Computing Foundations — 18 credits
- Database Management Systems & SQL — 3 credits
- Computational Thinking & Problem Solving — 3 credits
- Operating Systems (Unix & the Command Line) — 3 credits
- Computer Systems, Digital Logic & Architecture — 3 credits
- Mathematics for Computing: Logic, Statistics & Linear Algebra Essentials — 3 credits
- Database Systems & SQL Lab — 1 credits
- Computational Thinking & Problem Solving Lab — 1 credits
- Operating Systems Lab — 1 credits
Semester 2 · Core Programming, Data & AI Foundations — 23 credits
- Data Structures & Algorithmic Problem Solving — 3 credits
- Application Development with Python — 3 credits
- Applied Machine Learning & AI Foundations — 3 credits
- Data Structures Lab — 1 credits
- Application Development with Python Lab — 1 credits
- Applied Machine Learning & AI Lab — 1 credits
- Data Warehousing & Mining — 3 credits
- Software Engineering, Agile & DevOps Practices — 3 credits
- Aptitude, Logical Reasoning & Professional Skills — 2 credits
- Object-Oriented Programming with Java — 3 credits
Semester 3 · Advanced Core — 21 credits
- Design & Analysis of Algorithms (with Lab) — 3 credits
- Object-Oriented Modelling & Design Patterns (with Lab) — 3 credits
- IT Project & Product Management — 3 credits
- Statistical Methods for Data-Driven Decisions — 4 credits
- Business Intelligence — 4 credits
- Predictive Analytics with Machine Learning — 4 credits
Semester 4 · Capstone — 18 credits
- Capstone Project / Professional Portfolio — 6 credits
- Data Engineering — 4 credits
- Time Series Analytics — 4 credits
- Cloud Data Platforms & DataOps — 4 credits
MCA in Full-Stack Development — full curriculum
Semester 1 · Computing Foundations — 18 credits
- Database Management Systems & SQL — 3 credits
- Computational Thinking & Problem Solving — 3 credits
- Operating Systems (Unix & the Command Line) — 3 credits
- Computer Systems, Digital Logic & Architecture — 3 credits
- Mathematics for Computing: Logic, Statistics & Linear Algebra Essentials — 3 credits
- Database Systems & SQL Lab — 1 credits
- Computational Thinking & Problem Solving Lab — 1 credits
- Operating Systems Lab — 1 credits
Semester 2 · Core Programming, Data & AI Foundations — 23 credits
- Data Structures & Algorithmic Problem Solving — 3 credits
- Application Development with Python — 3 credits
- Applied Machine Learning & AI Foundations — 3 credits
- Data Structures Lab — 1 credits
- Application Development with Python Lab — 1 credits
- Applied Machine Learning & AI Lab — 1 credits
- Data Warehousing & Mining — 3 credits
- Software Engineering, Agile & DevOps Practices — 3 credits
- Aptitude, Logical Reasoning & Professional Skills — 2 credits
- Object-Oriented Programming with Java — 3 credits
Semester 3 · Advanced Core — 21 credits
- Design & Analysis of Algorithms (with Lab) — 3 credits
- Object-Oriented Modelling & Design Patterns (with Lab) — 3 credits
- IT Project & Product Management — 3 credits
- Mobile & Cross-Platform App Development — 4 credits
- Advanced Frontend Engineering — 4 credits
- Backend Engineering & API Design — 4 credits
Semester 4 · Capstone — 18 credits
- Capstone Project / Professional Portfolio — 6 credits
- Modern Full-Stack Frameworks & Deployment — 4 credits
- AI-Powered Web Applications — 4 credits
- DevOps & Cloud Delivery for Full-Stack — 4 credits
MCA in Cloud Computing — full curriculum
Semester 1 · Computing Foundations — 18 credits
- Database Management Systems & SQL — 3 credits
- Computational Thinking & Problem Solving — 3 credits
- Operating Systems (Unix & the Command Line) — 3 credits
- Computer Systems, Digital Logic & Architecture — 3 credits
- Mathematics for Computing: Logic, Statistics & Linear Algebra Essentials — 3 credits
- Database Systems & SQL Lab — 1 credits
- Computational Thinking & Problem Solving Lab — 1 credits
- Operating Systems Lab — 1 credits
Semester 2 · Core Programming, Data & AI Foundations — 23 credits
- Data Structures & Algorithmic Problem Solving — 3 credits
- Application Development with Python — 3 credits
- Applied Machine Learning & AI Foundations — 3 credits
- Data Structures Lab — 1 credits
- Application Development with Python Lab — 1 credits
- Applied Machine Learning & AI Lab — 1 credits
- Data Warehousing & Mining — 3 credits
- Software Engineering, Agile & DevOps Practices — 3 credits
- Aptitude, Logical Reasoning & Professional Skills — 2 credits
- Object-Oriented Programming with Java — 3 credits
Semester 3 · Advanced Core — 21 credits
- Design & Analysis of Algorithms (with Lab) — 3 credits
- Object-Oriented Modelling & Design Patterns (with Lab) — 3 credits
- IT Project & Product Management — 3 credits
- Cloud Networking, Identity & Security — 4 credits
- Containers and Infrastructure as Code — 4 credits
- AI Deployment on the Cloud — 4 credits
Semester 4 · Capstone — 18 credits
- Capstone Project / Professional Portfolio — 6 credits
- Cloud Infrastructure and Services — 4 credits
- Internet of Things & Edge Computing — 4 credits
- Cloud-Native Application Development & Microservices — 4 credits
MCA in Cybersecurity — full curriculum
Semester 1 · Computing Foundations — 18 credits
- Database Management Systems & SQL — 3 credits
- Computational Thinking & Problem Solving — 3 credits
- Operating Systems (Unix & the Command Line) — 3 credits
- Computer Systems, Digital Logic & Architecture — 3 credits
- Mathematics for Computing: Logic, Statistics & Linear Algebra Essentials — 3 credits
- Database Systems & SQL Lab — 1 credits
- Computational Thinking & Problem Solving Lab — 1 credits
- Operating Systems Lab — 1 credits
Semester 2 · Core Programming, Data & AI Foundations — 23 credits
- Data Structures & Algorithmic Problem Solving — 3 credits
- Application Development with Python — 3 credits
- Applied Machine Learning & AI Foundations — 3 credits
- Data Structures Lab — 1 credits
- Application Development with Python Lab — 1 credits
- Applied Machine Learning & AI Lab — 1 credits
- Data Warehousing & Mining — 3 credits
- Software Engineering, Agile & DevOps Practices — 3 credits
- Aptitude, Logical Reasoning & Professional Skills — 2 credits
- Object-Oriented Programming with Java — 3 credits
Semester 3 · Advanced Core — 21 credits
- Design & Analysis of Algorithms (with Lab) — 3 credits
- Object-Oriented Modelling & Design Patterns (with Lab) — 3 credits
- IT Project & Product Management — 3 credits
- Network Security & Cryptography — 4 credits
- Cyber Threat Intelligence — 4 credits
- Cyber Security: Concept and Practices — 4 credits
Semester 4 · Capstone — 18 credits
- Capstone Project / Professional Portfolio — 6 credits
- Ethical Hacking & Vulnerability Assessment — 4 credits
- Cloud Security — 4 credits
- Digital Forensics & Privacy — 4 credits
Fees & Scholarships
Transparent Fee Structure
Everything you'll pay for the 2-year MCA program: tuition plus one-time registration and annual examination charges. No hidden costs.
Domestic Students
Indian Nationals
Total Program Fee
₹1,30,000
Per Semester
₹32,500
Per Year
₹65,000
No Cost EMI available on education loans availed by domestic students
International Students
Foreign Nationals
Total Program Fee
$2,000
Per Semester
$500
Per Year
$1,000
Registration & Exam Fees
One-time & annual charges
Domestic
· Indian Nationals
SAARC
· SAARC Countries
International
· Other Countries
Also Offered
Campus Immersion Fees
Same the 2-year MCA program, taught online through the week with scheduled visits to the Greater Noida campus. Domestic students only.
Curriculum and fees last reviewed:
Questions about the MCA curriculum
Learn with your A.I. Companions
One platform. Every learning surface.
Web, mobile, lab and tutor - wired into a single learner profile. Pick any panel below to see what each part of the ecosystem does for you.
- 1.A function in C declares a return type, name, parameters and body.
- 2.Recursion = a function calling itself with a smaller problem until a base case.
- 3.The factorial example shows a base case (n==0) and a recursive case (n × f(n−1)).
- 4.Each recursive call adds a stack frame - beware of deep recursion.
- • A function declares return type + body
- • Recursion calls itself with smaller input
- • Always needs a base case
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What You'll Master
Technologies & Skills You'll Build
Programming
Full-Stack & APIs
Data & AI
Cloud & DevOps
Why Sharda MCA
Four Things That Set Us Apart
Specialisations
9 Specialisations
3 Sub-Tracks Each
Choose your specialization - Software Engineering, AI, Data Science, Cloud Computing, MLOps, Generative AI or Full-Stack Development. An MCA designed for tech leadership.
Curriculum
Capstone-First
Curriculum
By Year 2, your capstone is your portfolio - 8-credit industry project shipped on real datasets.
Labs
GPU Labs
from Day 1
Outcomes
90%+
Placement
Life at Sharda
Campus Immersion
Experience the perfect blend of traditional and digital learning environments.
Student Life
Events & Fests
Annual fests, tech conclaves, cultural events & departmental competitions.
Infrastructure
Tech Labs
State-of-the-art computing labs with industry-grade hardware & software.
Digital Campus
Smart Campus
Wi-Fi enabled campus with cloud infrastructure & digital learning tools.
Partnerships
Industry Connect
Regular industry interactions, company visits & collaborative projects.
Innovation
Hackathons
Annual coding contests, build sprints & innovation challenges.
Knowledge
Library
Digital & physical resources for research and learning.
Placement Highlights 2024
Our MCA graduates are placed at leading tech companies across India and globally with advanced technical training, system design preparation, and research projects.
600+ recruiters · ₹1.62 Cr highest package · 7,818 scholarships (₹44.79 Cr)
Career Outcomes
Tech Careers That Await You
Salary ranges based on 2024 placement data. Bar shows relative to highest MCA package (₹28 LPA).
What Our Graduates Say
Real accounts from MCA graduates now leading engineering teams at India's top tech companies.
The AI & Generative AI track gave me skills that most CS graduates from 4-year programs simply didn't have. TCS hired me directly into their AI Practice - that was the MCA opening doors a BTech usually does.
Akshat Gupta
MCA Full-Stack Development
AI Engineer · Class of 2024
We had actual penetration testing labs from the second year. That hands-on time is why I cleared three certifications before graduation and walked straight into an Information Security role at Wipro.
Meera Iyer
MCA Cyber Security
Security Analyst · Class of 2024
The build sprint culture here is real. My team shipped a working web app in Semester 2. It's now live on the Play Store. No other MCA program would have made that happen.
Rohan Singh
MCA Full-Stack Development
CEO · Class of 2023
The cloud computing specialization prepared me for AWS certification. I cleared all three levels before graduating and got placed in Infosys as a Cloud Solutions Architect with a 12 LPA package.
Priya Sharma
MCA Cloud Computing
Cloud Architect · Class of 2024
The MLOps & AI Engineering track at Sharda MCA was ahead of its time. We deployed real models on Kubernetes from day one. Now I'm running production ML pipelines at Flipkart that serve millions of users daily.
Arjun Malhotra
MCA MLOps & AI Engineering
ML Engineer · Class of 2023
The Generative AI specialization was a game-changer. I'm now working on LLM fine-tuning at a Silicon Valley startup, all thanks to the foundation I got in the MCA program.
Sneha Reddy
MCA AI & Generative AI
AI Researcher · Class of 2024
The Data Science track taught me to think beyond just coding - statistical modelling, business analytics, time-series forecasting. Understanding business metrics helped me land a Product Analyst role at Razorpay straight out of college.
Vikram Joshi
MCA Data Science
Product Analyst · Class of 2023
The Software Engineering track gave me real architecture chops - design patterns, microservices, IoT systems, CI/CD pipelines. By Year 2 I was leading a capstone team that shipped a production-grade fleet management platform. That portfolio is what landed me an SDE-2 role.
Ananya Patel
MCA Software Engineering
Software Engineer · Class of 2024
The AI & Generative AI track gave me skills that most CS graduates from 4-year programs simply didn't have. TCS hired me directly into their AI Practice - that was the MCA opening doors a BTech usually does.
Akshat Gupta
MCA Full-Stack Development
AI Engineer · Class of 2024
We had actual penetration testing labs from the second year. That hands-on time is why I cleared three certifications before graduation and walked straight into an Information Security role at Wipro.
Meera Iyer
MCA Cyber Security
Security Analyst · Class of 2024
The build sprint culture here is real. My team shipped a working web app in Semester 2. It's now live on the Play Store. No other MCA program would have made that happen.
Rohan Singh
MCA Full-Stack Development
CEO · Class of 2023
The cloud computing specialization prepared me for AWS certification. I cleared all three levels before graduating and got placed in Infosys as a Cloud Solutions Architect with a 12 LPA package.
Priya Sharma
MCA Cloud Computing
Cloud Architect · Class of 2024
The MLOps & AI Engineering track at Sharda MCA was ahead of its time. We deployed real models on Kubernetes from day one. Now I'm running production ML pipelines at Flipkart that serve millions of users daily.
Arjun Malhotra
MCA MLOps & AI Engineering
ML Engineer · Class of 2023
The Generative AI specialization was a game-changer. I'm now working on LLM fine-tuning at a Silicon Valley startup, all thanks to the foundation I got in the MCA program.
Sneha Reddy
MCA AI & Generative AI
AI Researcher · Class of 2024
The Data Science track taught me to think beyond just coding - statistical modelling, business analytics, time-series forecasting. Understanding business metrics helped me land a Product Analyst role at Razorpay straight out of college.
Vikram Joshi
MCA Data Science
Product Analyst · Class of 2023
The Software Engineering track gave me real architecture chops - design patterns, microservices, IoT systems, CI/CD pipelines. By Year 2 I was leading a capstone team that shipped a production-grade fleet management platform. That portfolio is what landed me an SDE-2 role.
Ananya Patel
MCA Software Engineering
Software Engineer · Class of 2024
Admissions
Simple 3-Step Admission
Follow our straightforward admission process designed to get you started as quickly as possible.
Step 01
Fill your application form
Complete your applicant profile and pick your programme, takes under 1 minutes.
Step 02
Pay your program fee
A simple, secure online payment, your seat is reserved instantly.
Step 03
Upload your documents
Paying logs you straight into your student portal, upload documents there to confirm admission.
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Join Sharda's MCA program and build the skills that top tech companies are looking for.