| Sl.No | Course | Syllabus |
| 1 | MSC Statistics | View |
Semester I
| Sl.no | Subject code | Subject Name | Notes Link |
| 1. | 22STHCT1.1 | Probability Theory | View |
| 2. | 22STHCT1.2 | Distribution Theory | View |
| 3. | 22STHCT1.3 | Matrix Theory and Linear models | View |
| 4. | 22STSCT1.4 | (a): Data base Techniques (b):Linear programming | View |
| 5. | 22STHCP1.5 | Practical based on 21STHCT 1.3 | View |
| 6. | 22STHCP1.6 | Statistical Computing using R | View |
| 7. | 22STOEP1.1 | Statistical Methods and Applications | View |
Semester II
| Sl.no | Subject code | Subject Name | Notes Link |
| 1. | 22STHCT2.1 | Real Analysis | View |
| 2. | 22STHCT2.2 | Statistical Inference-I | View |
| 3. | 22STHCT2.3 | Design and Analysis of experiments | View |
| 4. | 22STSCT2.4 | (a): Survival Analysis (b): Sampling Theory | View |
| 5. | 22STHCP2.5 | (Based on 21STHCT 2.2 and 21STHCT 2.3) | View |
| 6. | 22STHCP2.6 | (Based on 21STSCT 2.4(b) | View |
| 7. | 22STOEP2.1 | Statistical Data Analysis | View |
Semester III
| Sl.no | Subject code | Subject Name | Notes Link |
| 1. | 22STHCT3.1 | Statistical Inference II | View |
| 2. | 22STHCT3.2 | Multivariate Analysis | View |
| 3. | 22STSCT3.3 | (a): SQC & Reliability Theory (b):Bio Statistics (c) Stochastic Process | View |
| 4. | 22STHCP3.4 | (Based on 21STHCT 3.1 and 21STHCT 3.3) | View |
| 5. | 22STHCP3.5 | (Based on 21STHCT 3.2) | View |
| 6. | 22STOEP3.1 | Statistical Data Analyses using R | View |
Semester IV
| Sl.no | Subject code | Subject Name | Notes Link |
| 1. | 22STHCT4.1 | Non-Parametric Methods | View |
| 2. | 22STHCT4.2 | Statistical Machine Learning Algorithms Using Python | View |
| 3. | 22STSCT4.3 | (a): Data Science (b):Genetics Algorithms (c) Time Series Analysis | View |
| 4. | 22STHCP4.4 | Project (Primary and secondary) | View |
| 5. | 22STOEP4.1 | Applied Statistics | View |