MITS Department of Artificial Intelligence

1. Mathematics and Scientific Foundations

  • Calculus
  • Linear Algebra
  • Probability and Statistics
  • Discrete Mathematics
  • Numerical Methods
  • Optimization Techniques
  • Mathematical Foundations of Machine Learning

2. Computer Science Foundations

  • Programming Fundamentals
  • Object-Oriented Programming
  • Data Structures and Algorithms
  • Computer Organization and Architecture
  • Operating Systems
  • Database Management Systems
  • Computer Networks
  • Software Engineering
  • Web and Cloud Computing
  • Distributed Systems

3. Core Artificial Intelligence

  • Introduction to Artificial Intelligence
  • Machine Learning
  • Deep Learning
  • Artificial Neural Networks
  • Natural Language Processing
  • Computer Vision
  • Knowledge Representation and Reasoning
  • Search and Optimization in AI
  • Reinforcement Learning
  • Generative Artificial Intelligence
  • Large Language Models
  • AI Agents and Agentic Systems
  • Explainable AI

4. Data Science and AI Infrastructure

  • Data Science
  • Data Mining
  • Big Data Analytics
  • Data Engineering
  • Data Visualization
  • Cloud Computing for AI
  • GPU Computing and CUDA
  • High-Performance Computing for AI
  • MLOps and AI Model Deployment
  • AI Infrastructure and Data Centers

5. Robotics and Intelligent Systems

  • Introduction to Robotics
  • Sensors and Actuators
  • Embedded Systems
  • Robot Perception
  • Robot Motion and Control
  • Autonomous Systems
  • Human–Robot Interaction
  • AI for Drones and Autonomous Vehicles

6. Specialized and Emerging AI

  • Multimodal AI
  • Speech Recognition and Speech Processing
  • Recommender Systems
  • Graph Machine Learning
  • Edge AI
  • Internet of Things and AI
  • Digital Twins
  • AI for Cybersecurity
  • AI for Healthcare
  • AI for Manufacturing
  • AI for Finance and Economics
  • AI for Scientific Discovery

7. Human, Social, Ethical, and Business Dimensions

  • Responsible AI and AI Ethics
  • AI Safety
  • Privacy and Data Protection
  • Cybersecurity
  • Human–AI Collaboration
  • Economics of Artificial Intelligence
  • Entrepreneurship and AI Startups
  • Intellectual Property and Technology Innovation
  • Technology, Society, Employment, and Public Policy