B.Tech. Computer Science and Engineering with specialization in Artificial Intelligence and Machine Learning

Course Structure

Probability and Statistics
Object Oriented Programming
Theory of Computation
Indian Constitution (MOOC)
Professional Training
PCE-1- Int. to Artificial Intelligence (Any One)
1. Introduction to Artificial Intelligence
2. Machine Learning and Deep Learning Techniques
3. Business Intelligence
PCE-1-ML and Deep Learning Techniques (Any One)
1. Introduction to Artificial Intelligence
2. Machine Learning and Deep Learning Techniques
3. Business Intelligence
OE-1-User Research Method
Object Oriented Programming Lab

R Programming
Data Mining and Analysis
Core Elective-II ( Any One )
1. Mathematical Foundations for ML
2. Inferential Statistics
3. Scientific Computing using Python
Core Elective-III ( Any One )
1. Cloud Computing
2. Sampling Techniques
3. Computer Vision
Industry Elective-2 (Collaborative)
Open-Source Software Tools
Data Visualization Lab
R Programming Lab

Unix and Shell Programming
Web Technology
Applied Operations Research
Industry Elective-3 (Collaborative)
Research Methods & Presentation
Core Elective-IV ( Any One )
1. Agent Based Intelligent Systems
2. Network Security
3. Natural Language Processing
Core Elective -V-(PBEL)( Any One )
1. Full Stack Development
2. Robotics and Automation
3. Artificial Neural Networks

Project- Phase-I (Research / Industry)
Core Elective-VI ( Any One )
1. Applications of Machine Learning
2. Pattern Recognition
3. Data Engineering
Industry Elective-4 (Collaborative)