Syllabus (DS Course post Third Sem)

Third Semester

• Mathematics for Computer Science
• Digital Design & Computer Organization (VHDL)
• Operating Systems (Lab component is on the Shell commands and API’s)
• Data Structures and Application
• Python Programming for Data Science
• Version controller with GiT

Fourth Semester

• Analysis & Design of Algorithms
• Microcontrollers
• Database Management Systems
• Kubernetes(lab)
• Discrete Mathematics

Fifth Semester

• Software Engineering & Project Management
• Computer Networks
• Theory of Computation
• Data Visualization Lab
• NoSQL Databases

Sixth Semester

• Big Data Analytics
• Artificial Intelligence & Machine Learning
• Machine Learning lab
• Blockchain Technology
• Devops

Seventh Semester

• Scalable Computing
• Statistical Machine Learning for Data Science
• Information & Network Security
• Deep Learning
• IOT Analytics

Eighth Semester

• Professional Elective (Online Courses) through NPTEL
• Open Elective (Online Courses) through NPTEL

Archived:

Click here for Syllabus for Data Science course from Third Semester onwards