| Sem |
Course code |
Courses |
Credit |
Hours |
| L |
T |
P |
S |
Total |
L |
T |
P |
S |
Total |
|
| Semester 1 |
MSDS101 |
Principles of Data Science |
1 |
0 |
0 |
1 |
2 |
1 |
0 |
0 |
1 |
2 |
| MSDS102 |
Programming for Data Science |
1 |
0 |
2 |
1 |
4 |
1 |
0 |
4 |
1 |
6 |
| MSDS103 |
Essential Mathematics for Data Science |
1 |
1 |
1 |
1 |
4 |
1 |
1 |
2 |
1 |
5 |
| MSDS104 |
RDBMS techniques |
1 |
1 |
0 |
1 |
3 |
1 |
1 |
0 |
1 |
3 |
| MSDS105 |
Data Engineering |
1 |
0 |
1 |
1 |
3 |
1 |
0 |
2 |
1 |
4 |
| MSDS106 |
Applied Statistics using R |
2 |
0 |
1 |
1 |
4 |
2 |
0 |
2 |
1 |
5 |
| |
Total |
7 |
2 |
5 |
6 |
20 |
7 |
2 |
10 |
6 |
25 |
|
| Semester 2 |
MSDS201 |
Linear Models in Data Science |
1 |
0 |
1 |
1 |
3 |
1 |
0 |
2 |
1 |
4 |
| MSDS202 |
Multivariate Analysis |
2 |
0 |
1 |
1 |
4 |
2 |
0 |
2 |
1 |
5 |
| MSDS203 |
Artificial intelligence for Data Science |
1 |
0 |
1 |
1 |
3 |
1 |
0 |
2 |
1 |
4 |
| MSDS204 |
Data Visualization |
1 |
0 |
1 |
1 |
3 |
1 |
0 |
2 |
1 |
4 |
| MSDS205 |
Big Data and Data Clouds |
1 |
0 |
1 |
1 |
3 |
1 |
0 |
2 |
1 |
4 |
| MSDS206 |
Data Mining and Machine Learning |
1 |
0 |
2 |
1 |
4 |
1 |
0 |
4 |
1 |
6 |
| MSDS207 |
Internship |
0 |
0 |
0 |
8 |
8 |
0 |
0 |
0 |
8 |
8 |
| |
Total |
7 |
0 |
7 |
14 |
28 |
7 |
0 |
14 |
14 |
35 |
|
| Semester 3 |
MSDS301 |
Natural Language Processing |
1 |
0 |
1 |
1 |
3 |
1 |
0 |
2 |
1 |
4 |
| MSDS302 |
Time Series Analysis and Forecasting Techniques |
1 |
0 |
1 |
1 |
3 |
1 |
0 |
2 |
1 |
4 |
| MSDS303 |
Data Science with SAS/ SPSS |
1 |
0 |
1 |
1 |
3 |
1 |
0 |
2 |
1 |
4 |
| MSDS304 |
Deep Learning |
1 |
0 |
1 |
1 |
3 |
1 |
0 |
2 |
1 |
4 |
| MSDS305 |
Marketing Analytics using AI |
1 |
0 |
1 |
1 |
3 |
1 |
0 |
2 |
1 |
4 |
| Elective |
1 |
0 |
1 |
1 |
3 |
1 |
0 |
2 |
1 |
4 |
| MSDS306A |
Data Science Applications of Vision |
| MSDS306B |
Data Analysis in Economics & Financial Decision Making |
| MSDS306C |
Quantitative Genetics |
| MSDS306D |
Data Analytics in IOT |
| |
Total |
6 |
0 |
6 |
6 |
18 |
6 |
0 |
12 |
6 |
24 |
|
| Semester-4 |
MSDS401 |
Dissertation |
0 |
0 |
0 |
14 |
14 |
0 |
0 |
0 |
14 |
14 |
|
Total |
0 |
0 |
0 |
14 |
14 |
0 |
0 |
0 |
14 |
14 |
| Total Credits= (20 + 28 + 18 + 14) = 80 |
