AI & Data Science

2022 Scheme

Curriculum for the B.E. in AI & Data Science.

3rd Semester Courses

Select a course to view notes, questions, and lab manuals

8 Courses
Sem 3
BCS302

Digital Design & Computer Organization

4 Credits • 2022 Scheme

✓ Notes & PYQs Ready
Sem 3
BCS303

Operating Systems

3 Credits • 2022 Scheme

✓ Notes & PYQs Ready
Sem 3
BCS304

Data Structures and Applications

3 Credits • 2022 Scheme

✓ Notes & PYQs Ready
Sem 3
BDS306-C

Data Analytics with R

3 Credits • 2022 Scheme

✓ Notes & PYQs Ready
Sem 3
BCS358A

Data Analytics with Excel

1 Credits • 2022 Scheme

✓ Notes & PYQs Ready
Sem 3
BCSL305

Data Structures Lab

1 Credits • 2022 Scheme

✓ Notes & PYQs Ready
Sem 3
BSCK307

Social Connect and Responsibility

1 Credits • 2022 Scheme

✓ Notes & PYQs Ready
Sem 3
BYOK359

Yoga

1 Credits • 2022 Scheme

✓ Notes & PYQs Ready
Curriculum Overview

Studying AI & Data Science at VTU

The AI & Data Science curriculum at VTU integrates theoretical engineering fundamentals with practical lab experimentation and project-based coursework. Each semester features core subjects, integrated labs, and emerging technology electives.

VTUadda provides peer-verified study materials for every course in this department. Review module lecture notes alongside past 5-year VTU semester question papers to achieve a competitive Cumulative Grade Point Average (CGPA).