Master of Computer Applications | MCA

  • Course Overview
  • Why Choose This Course?
  • Curriculum
  • Fee Structure
  • FAQs

The Online MCA (Master of Computer Applications) at SGT University provides advanced training in programming, databases, cloud computing, AI, and cybersecurity. This program prepares graduates for technical and leadership roles in the IT industry.


๐ŸŒŸ Why Choose MCA (Master of Computer Applications)?

The MCA (Master of Computer Applications) is your gateway to a high-growth tech career. Whether you're a graduate in BCA, B.Sc. (IT), or a non-CS stream with math, MCA transforms you into a software engineer, data analyst, cloud architect, cybersecurity expert, or product manager — roles that are future-proof, in-demand, and high-paying.

From core development to AI innovation, an MCA trains you not just in coding, but in systems thinking, digital infrastructure, cloud ecosystems, and enterprise technologies.

๐Ÿ’ก Think of MCA as the postgraduate version of a full-stack tech MBA — practical, deep, and built for global impact.


๐Ÿงญ Career Map: Where Can MCA Take You?


BCA / B.Sc. / Any Graduate (with Math)
        โ”‚
        โ–ผ
๐ŸŽ“ MCA (2-Year Postgraduate)
        โ”‚
        โ”œโ”€โ”€โ–ถ ๐Ÿ‘จ‍๐Ÿ’ป Software Developer / Engineer
        โ”œโ”€โ”€โ–ถ ๐Ÿง‘‍๐Ÿ’ผ Business Analyst / QA Analyst
        โ”œโ”€โ”€โ–ถ โ˜๏ธ Cloud / DevOps Engineer
        โ”œโ”€โ”€โ–ถ ๐Ÿ” Cybersecurity Expert / Ethical Hacker
        โ”œโ”€โ”€โ–ถ ๐Ÿ“ˆ Data Scientist / AI Engineer
        โ”œโ”€โ”€โ–ถ ๐Ÿง‘‍๐Ÿš€ Tech Lead / Product Manager
        โ””โ”€โ”€โ–ถ ๐Ÿง‘‍๐Ÿซ Lecturer / Research Fellow / Ph.D.


๐ŸŽฏ 90% of Indian IT services hiring comes from MCA, M.Tech, and B.Tech pipelines.


๐ŸŽฏ Skill Wheel – What MCA Helps You Master

Skill Industry Application
๐Ÿ’ป Programming (C++, Python, Java) Software engineering, web/app dev
โ˜๏ธ Cloud & DevOps AWS, Azure, CI/CD, Docker
๐Ÿ“Š Data Structures & Algorithms Product-based company interviews
๐Ÿง  AI & Machine Learning Model training, automation, chatbots
๐Ÿ” Cybersecurity Network security, ethical hacking
๐Ÿ“ˆ Database & SQL Backend, data warehousing, reporting
๐Ÿ› ๏ธ Project Management Agile, SCRUM, SDLC
๐Ÿ’ฌ Communication & Collaboration Teamwork, client interaction

๐Ÿ“˜ MCA blends technical depth + business awareness – perfect for the new-age IT ecosystem.


๐ŸŒฟ Specialization Tree – Choose Your Tech Domain

                         MCA
                          โ”‚
       โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
       โ”‚ AI & ML     โ”‚ Full Stack Dev โ”‚ Cybersecurity โ”‚
       โ”‚ Cloud & DevOps โ”‚ Data Science โ”‚ Blockchain    โ”‚
       โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜


 
 
Specialization Career Focus
๐Ÿค– AI & Machine Learning Predictive systems, LLMs, AI ops
โ˜๏ธ Cloud & DevOps Infrastructure as code, CI/CD pipelines
๐ŸŒ Full Stack Development MERN/MEAN stack, APIs, web apps
๐Ÿ” Cybersecurity Threat detection, vulnerability testing
๐Ÿ“Š Data Science Python, stats, dashboards, analytics
๐Ÿ”— Blockchain Web3, NFTs, smart contracts

๐Ÿ” Choose electives that align with your dream job role or certification path (AWS, GCP, CEH, etc.)


๐Ÿ’ผ Real-World Job Examples (Post-MCA)

Role Domain Avg Starting Salary (INR)
๐Ÿ‘จ‍๐Ÿ’ป Software Engineer IT Services / SaaS โ‚น6–10 LPA
๐Ÿค– Data Analyst / Scientist Analytics / BFSI โ‚น8–14 LPA
โ˜๏ธ Cloud Engineer Cloud / Infra โ‚น9–16 LPA
๐Ÿง  AI Engineer ML / NLP / GenAI โ‚น10–20 LPA
๐Ÿ” Cybersecurity Analyst Fintech / Govt โ‚น7–12 LPA
๐ŸŒ Full Stack Dev Product / Web Dev โ‚น8–15 LPA
๐Ÿง‘‍๐Ÿ’ผ Tech Consultant IT / Consulting โ‚น9–18 LPA
๐Ÿง‘‍๐Ÿซ Lecturer / Researcher Education / R&D โ‚น5–8 LPA

๐Ÿ’ก Top employers include TCS, Infosys, Google, Accenture, Wipro, IBM, Microsoft, Zoho, Flipkart, and Deloitte.


โœ… Why Choose MCA?

  • ๐Ÿ’ผ Massive Demand: MCA grads fill 60% of India’s IT jobs

  • ๐Ÿ“ˆ High ROI: Starting packages often match B.Tech grads

  • ๐Ÿค Corporate & Startup Friendly: MCA is accepted across MNCs and unicorns

  • ๐Ÿง  Tech Depth + Project Work: Full-cycle training in SDLC

  • ๐ŸŒ Global Certifications: Cloud, Data, and Cybersecurity cert paths included

  • ๐Ÿง‘‍๐Ÿ’ผ Hybrid Career Readiness: Suits coding, data, infra, and management roles


๐ŸŽ“ ScholarIQ Advantage for MCA Aspirants

ScholarIQ Feature How It Helps
๐Ÿ’ป Course Mapping Find MCA specializations aligned to jobs
๐ŸŽฏ Career Roadmap Visualize MCA → Mid-Career Growth
๐Ÿงช Toolkits Python, Git, AWS, SQL – all in one platform
๐ŸŽค Industry Mentors Tech pros from Wipro, Google, Infosys
๐Ÿ† Placement Insights Compare colleges by domain, salary, NIRF rank
๐Ÿ“˜ Mock Interview Prep Role-specific coding + HR modules


 


๐Ÿ“˜ General Syllabus – MCA

Duration: 2 Years (4 Semesters)
Eligibility: BCA / B.Sc. (IT/CS) or equivalent with Math at 10+2 or graduation level
Credits: ~80–100 (varies by university)
Focus: Programming, Software Engineering, AI/ML, Cloud, Cybersecurity, Project Work


๐Ÿ”น Semester 1

Subject Description
Programming in Java OOP concepts, exception handling, multithreading
Computer Organization & Architecture CPU, memory, I/O, instruction sets
Database Management Systems (DBMS) SQL, ER models, normalization, transactions
Discrete Mathematics Logic, sets, graphs, Boolean algebra
Data Structures & Algorithms Arrays, linked lists, trees, sorting, searching
Lab – Java Programming Hands-on OOP with NetBeans or Eclipse
Lab – DBMS MySQL, Oracle, normalization & queries

๐Ÿ”น Semester 2

Subject Description
Operating Systems Process management, scheduling, memory allocation
Web Technologies HTML5, CSS3, JavaScript, Node.js, React
Software Engineering SDLC, Agile, UML diagrams, testing strategies
Design & Analysis of Algorithms Time complexity, advanced sorting, greedy, dynamic programming
Artificial Intelligence Search algorithms, reasoning, intro to ML
Lab – Web Development Build dynamic web apps (frontend + backend)
Lab – OS & AI Shell scripts, intro to AI tools like Python, Colab

๐Ÿ”น Semester 3

Subject Description
Advanced Python Programming Libraries (NumPy, Pandas, Matplotlib), OOP, scripts
Cloud Computing Virtualization, IaaS, PaaS, SaaS, AWS/Azure intro
Machine Learning Supervised/unsupervised learning, scikit-learn
Mobile Application Development Android (Java/Kotlin) or Flutter framework
Elective – I (Choose One) Cybersecurity, Data Analytics, Blockchain, DevOps
Lab – ML & Cloud AWS Educate, TensorFlow, scikit-learn
Mini Project Web/app/data project with deployment

๐Ÿ”น Semester 4

Subject Description
Internet of Things (IoT) Sensors, Raspberry Pi, automation tools
DevOps & Agile Practices CI/CD pipelines, GitHub Actions, Docker
Big Data & Analytics Hadoop, Spark, Power BI, data visualization
Elective – II (Choose One) AR/VR, NLP, Quantum Computing, UI/UX Design
Final Capstone Project Full-cycle industry-grade tech project
Viva Voce & Internship Evaluation External review, presentation, documentation

๐ŸŽ“ Suggested Electives

Elective Focus Area
Cybersecurity & Ethical Hacking Vulnerability testing, encryption, firewalls
Blockchain & Smart Contracts DApp dev, Ethereum, Solidity basics
Data Science Data wrangling, analysis, visualizations
Natural Language Processing Chatbots, text mining, sentiment analysis
AR/VR Development XR platforms, immersive content
UI/UX for Developers Design systems, Figma, prototyping

๐Ÿ› ๏ธ Tools Covered in MCA

Tool/Platform Use
Git & GitHub Version control and collaboration
Jupyter / Colab ML & Python experiments
VS Code / IntelliJ Development environments
Firebase / AWS / Azure Cloud app deployment
Docker / Jenkins DevOps automation
Tableau / Power BI Data visualization
MongoDB / PostgreSQL Modern databases

๐Ÿง‘‍๐Ÿ’ป Practical Integration

  • Mini Project: Semester 3

  • Capstone Project: Semester 4

  • Internships: During or post-Sem 3, often credit-based

  • Viva & Report: Based on live project and tools used