| Semester |
Course Code |
Courses |
|
| Semester 1 |
MSDS101 |
Principles of Data Science |
|
| MSDS102 |
Programming for Data Science |
|
| MSDS103 |
Essential Mathematics for Data Science |
|
| MSDS104 |
RDBMS techniques |
|
| MSDS105 |
Data Engineering |
|
| MSDS106 |
Applied Statistics using R |
|
| |
|
|
| Semester 2 |
MSDS201 |
Linear Models in Data Science |
|
| MSDS202 |
Multivariate Analysis |
|
| MSDS203 |
Artificial Intelligence for Data Science |
|
| MSDS204 |
Data Visualization |
|
| MSDS205 |
Big Data and Data Clouds |
|
| MSDS206 |
Data Mining and Machine Learning |
|
| MSDS207 |
Internship |
|
| |
|
|
| Semester 3 |
MSDS301 |
Natural Language Processing |
|
| MSDS302 |
Time Series Analysis and Forecasting Techniques |
|
| MSDS303 |
Data Science with SAS/ SPSS |
|
| MSDS304 |
Deep Learning |
|
| MSDS305 |
Marketing Analytics using AI |
|
| Elective |
|
| MSDS306A |
Data Science Applications of Vision |
|
| MSDS306B |
Data Analysis in Economics & Financial Decision Making |
|
| MSDS306C |
Quantitative Genetics |
|
| MSDS306D |
Data Analytics in IOT |
|
| |
|
|
| Semester 4 |
MSDS401 |
Dissertation |
|
|
|
|
