Online MCA in Computer Science & IT

Build a managerial or strategic career in the tech domain with a UGC-entitled Master of Computer Applications.

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Computer Science & IT — Jain Online MCA student

Program overview

The Online MCA in Computer Science & IT is designed for people who want to step into managerial or strategic roles in the technology domain. Coursework blends computer-science fundamentals with advanced electives, live industry sessions and experiential projects.

Delivered through live interactive classes and recorded lectures, the programme is equivalent to a regular (campus) MCA as notified by the UGC.

Computer Science & IT — student learning at Jain Online

Curriculum by semester

Semester 1

Courses:

  • 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 you will build: 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.

Included 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

Courses:

  • 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 you will build: 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.

Included 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

Courses:

  • Artificial Intelligence and Machine Learning
  • Python Programming
  • Software Testing
  • AI & Machine Learning Lab
  • Python Programming Lab
  • Open Elective

Skills you will build: 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.

Included 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

Courses:

  • IT Project Management
  • Big Data Analytics
  • Low-Code/No-Code Application Development
  • Data Visualization
  • Strategic Leadership in IT
  • Project

Skills you will build: 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.

Included 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.

Computer Science & IT — faculty session

Career outcomes

  • Software Development Engineer
  • Full-stack / Back-end Engineer
  • Systems Analyst
  • Cloud Engineer
  • Technology Consultant
  • IT Project Manager

Eligibility

A three-year bachelor degree in any stream from a UGC-recognised university with a minimum aggregate of 50% (45% for SC/ST). Final-semester bachelor students are also eligible to apply. No entrance exam is required.

Duration and mode

Two years, fully online. ODL & Online Programs are equivalent to regular (campus) Programs as notified by the UGC.

Fees at a glance

Total MCA Fees: ₹130,000

Yearly: ₹65,000/-  ·  Semesterly: ₹32,500/-

No-cost EMI: starts at ₹12,781 /month (via HDFC, ICICI, Liqui Loans).

Frequently asked questions

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.

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.

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.

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.

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.
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