Key features of Online MCA with Artificial Intelligence & Data Science
An Online MCA in AI & Data Science is designed for students and professionals looking to build expertise in machine learning, big data analytics, deep learning, and AI-driven applications. Here are the key features of such a program:
- Core Curriculum
This program integrates traditional MCA subjects with advanced AI and data science topics, including:
- Computer Science Fundamentals – Data Structures, Algorithms, Software Engineering, and Database Management
- Machine Learning & Deep Learning – Supervised & Unsupervised Learning, Neural Networks, and Reinforcement Learning
- Big Data Technologies – Hadoop, Spark, Data Warehousing, and Cloud Computing
- Data Analytics & Visualization – Statistical Analysis, Tableau, Power BI, and Python/R for Data Science
- AI in Real-World Applications – Computer Vision, Natural Language Processing (NLP), and AI-driven Automation
- Hands-On Learning & Real-World Projects
- AI & ML Model Development using Python, TensorFlow, and PyTorch
- Big Data Analytics Projects with Apache Hadoop and Spark
- Capstone Projects based on real-world industry use cases
- Cloud-based AI Applications (AWS, Google Cloud, Microsoft Azure)
- Industry-Aligned Certifications
Many programs prepare students for industry-recognized certifications, such as:
- Google TensorFlow Developer Certification
- Microsoft Certified: Azure AI Engineer Associate
- AWS Certified Machine Learning – Specialty
- IBM Data Science Professional Certificate
- Certified Data Scientist (CDS)
- AI & Data Science Specializations
Students can specialize in:
- Machine Learning & Deep Learning – Neural networks, GANs, reinforcement learning
- Big Data Engineering – Large-scale data processing, cloud computing
- Computer Vision & NLP – Image processing, speech recognition, chatbots
- AI for Business & Finance – Predictive analytics, AI-driven decision-making
- Healthcare & AI – AI applications in medical imaging, drug discovery, and patient analytics

- AI-Powered Learning & Tools
- AI-based Personalized Learning – Adaptive AI-driven coursework
- Virtual Labs & AI Sandboxes – Hands-on coding in Jupyter Notebooks
- Live AI Projects & Hackathons – Real-world AI challenges & competitions
- Career Opportunities & Placement Support
Graduates can work in roles such as:
- AI Engineer / Machine Learning Engineer
- Data Scientist / Data Analyst
- Big Data Engineer
- AI Research Scientist
- Business Intelligence Analyst
- Cloud AI Specialist
Companies hiring AI & Data Science professionals:
- Tech Giants – Google, Microsoft, Amazon, IBM, Facebook
- Finance & Healthcare – JPMorgan, Goldman Sachs, Pfizer, Medtronic
- E-commerce & Startups – Flipkart, Zomato, Uber, Tesla
- Flexible Learning & Global Recognition
- UGC/AICTE-approved programs (for Indian universities)
- Self-paced learning with recorded lectures
- Live mentorship from industry experts
- Affordable fees with EMI & scholarship options
An Online MCA in AI & Data Science is a future-proof program offering high-paying jobs and strong industry demand. With hands-on training, AI integration, and global job opportunities, this specialization is ideal for those looking to enter AI, data science, or machine learning roles.
Semester 1
MCAS-101OL
Emerging Technologies
MCAS-102OL
Emerging Technologies- Lab
MCAS- 103OL
Relational Database Management System
MCAS- 104OL
Relational Database Management System- Lab
MCAS- 105OL
Computer Oriented Numerical and Statistical Methods
MCAS-106OL
Software Engineering
MCAS-107OL
Capstone Project
Semester 2
MCAS-201OL
C# Programming
MCAS202OL
C# Programming- Lab
MCAS- 203OL
Design and Analysis Of Algorithm
MCAS- 204OL
Design and Analysis Of Algorithm- Lab
MCAS- 205OL
Artificial Intelligence
MCAS- 206OL
Digital Marketing
MCAS-207OL
Capstone Project
Elective-I (Choose Any One Subject)
MCAC-208OL
Data Science
MCAC-209OL
Data Warehousing and Data Mining
Semester 3
MCAS-301OL
Introduction of Robotics
MCAS- 302OL
Introduction of Robotics -Lab
MCAS-303OL
Python
MCAS-304OL
Python-Lab
MCAS-305OL
Principles of Digital Forensics
MCAS- 306OL
Cloud Computing
MCAS- 307OL
Cloud Computing- Lab
MCAS-308OL
Capstone Project
Elective-II (Choose Any One Subject)
MCAC-309OL
Internet of Things
MCAC-310OL
Machine Learning
Semester 4
MCAS-401OL
Industrial Training