| Semester I | Semester II | Semester III | Semester IV |
| MSO205 - Introduction to Probability Theory (3-1-0-0) [11] | MTH309 - Probability Theory (3-1-0-0) [11] | MTH441 - Linear Regression and ANOVA (3-0-1-0) [10] | MTH314 - Multivariate Analysis (3-0-1-0) [10] |
| (Modular – Part 1) MTH432M - Sampling Theory (3-1-0-0) [06] | (Modular – Part 1) MTH212M - Elementary Stochastic Processes I (3-1-0-0) [06] | MTH515 - Inference II (3-1-0-0) [11] | MTH312 - Data Science Lab 3 (1-0-2-0) [05] |
| (Modular – Part 2) MTH434M - Complex Analysis (3-1-0-0) [06] | (Modular – Part 2) MTH313M - Elementary Stochastic Processes II (3-1-0-0) [06] | MTH516 - Non-Parametric Inference (3-1-0-0) [11] | DE-2 [09] |
| MTH433 - Real Analysis (3-1-0-0) [11] | MTH418 -Inference I (3-1-0-0) [11] | DE-1 [09] / MTH598 [09] | DE-3 [09] |
| MTH208 - Data Science Lab 1 (0-0-3-2) [05] | MTH210 - Statistical computing (3-0-1-0) [10] | OE-1 [09] | DE-4 [09] / MTH599 [09] |
| MTH206 - Matrix Algebra and Linear Estimation (Module I) (3-1-0-0) [06] | MTH209 - Data Science Lab 2 (1-0-2-0) [05] | OE-2 [09] | |
| MTH207 - Matrix Algebra and Linear Estimation (Module II) (3-1-0-0) [06] | |||
| ELC112 (2-1-0-1) [09] | |||
| 60 | 49 | 50 | 51 |
List of courses
Please find more course information here.
These courses are only for MSc (2 year) Statistics students
Objective Of The Program
- To cultivate a mathematical attitude and nurture the interests,
- To motivate for research in mathematical and statistical sciences,
- To train computational scientists who can work on real life challenging problems