M.Sc. Data Science Program Structure
| 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 | |
