The programme curriculum has two semesters with total of 60 credits and 900 hours .
S. NO |
Courses |
GENERAL/SKILL |
CREDIT |
|
SEMESTER – 1 |
|
|
1 |
Mathematical Foundation for Data Science |
General |
5 |
2 |
Business Analytics |
General |
4 |
3 |
Basics of R and Python |
Skill |
4 |
4 |
Principles of Data Science |
Skill |
4 |
5 |
Machine Learning for Data Science |
Skill |
5 |
6 |
Data Visualization |
Skill |
4 |
7 |
R and Python Lab |
Skill |
4 |
Total Credits |
30 |
||
|
SEMESTER – 2 |
|
|
1 |
Probability and Statistics |
General |
4 |
2 |
Entrepreneurship Development |
General |
4 |
3 |
Big Data |
Skill |
4 |
4 |
Basics of Cloud Architecture and Hadoop |
Skill |
4 |
5 |
Natural Language Processing |
Skill |
4 |
6 |
Deep Learning |
Skill |
4 |
7 |
Project |
Skill |
6 |
Total Credits |
30 |