Program overview
The Online MCA in Data Science & AI is for learners who want to use data to drive decisions and solve complex business problems. Coursework covers statistical foundations, Python/R programming, machine-learning fundamentals and modern data-engineering tooling.
The degree is equivalent to a regular (campus) MCA as notified by the UGC.
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, Computational Thinking, 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
- Statistical Methods in Decision Making
- Artificial Intelligence and Machine Learning Lab
- Python Programming Lab
- Open Elective
Skills you will build: Artificial Intelligence, Machine Learning, Python Programming, Statistical Analysis, Probability & Inferential Statistics, Supervised Learning, Unsupervised Learning, Model Evaluation & Validation, Data Cleaning, Feature Engineering, Hypothesis Testing, Predictive Modeling, Scikit-learn, NumPy & Pandas.
Included certifications: Artificial Intelligence Foundations: Machine Learning; Machine Learning with Python: Foundations; Python Essential Training; Learning Python; Statistics Foundations: 1; Statistics Foundations: 2; Applied Machine Learning: Foundations; Python for Data Science and Machine Learning Essential Training (Part 1); Data Science Foundations: Fundamentals; Learning Data Analytics; Programming Foundations: Software Testing/QA; Learning REST APIs.
Semester 4
Courses:
- Data Visualisation and Explanable AI
- Big Data Analytics with Hadoop
- Natural Language Processing and GenAI
- Computer Vision and Deep learning
- Strategic Leadership in IT
- Project
Skills you will build: Data Visualization, Explainable AI (xAI), SHAP & LIME, Big Data Analytics, Hadoop, Apache Spark, Natural Language Processing (NLP), Generative AI (GenAI), Transformer Models, Hugging Face, Computer Vision, Deep Learning, Convolutional Neural Networks (CNNs), Model Deployment, AI System Architecture.
Included certifications: Data Visualization Foundations; Explainable AI; Learning Hadoop; Apache Spark Essential Training; Natural Language Processing with Python; Generative AI for Software Developers; Computer Vision Foundations; Deep Learning Essential Training; Strategic Leadership; Leadership Strategies for Technology Professionals; DevOps Foundations; Agile Software Development.
Career outcomes
- Data Analyst
- Business Intelligence Analyst
- Junior Data Engineer
- Analytics Consultant
- Product Analyst
- Machine Learning Associate
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: ₹160,000
Yearly: ₹80,000/- · Semesterly: ₹40,000/-
No-cost EMI: starts at ₹12,781 /month (via HDFC, ICICI, Liqui Loans).