The MSc in Statistics program was started in 1971 and is a highly sought-after program with admissions through the Joint Admission Test for Masters (JAM). Recent updates in the curriculum ensure that students are well trained for both industry and academia, with the curriculum striking a balance between theory and practice. Our students are extremely well placed in industry, and many also go to do a PhD pursuing an academic career.
The Template for students before (and including) Y25 is available in Section 4.5 here: https://iitk.ac.in/doaa/data/UGARC-2020-21-Report.pdf
Below is the template for students entering the program in 2026 and after.
| MSc Statistics Two-year Program |
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| Semester 1 | Semester 2 | Semester 3 | Semester 4 |
| MSO205 (11) Introduction to Probability Theory |
SDS309 (11) Probability Theory |
SDS441 (10) Linear Regression and Anova |
SDS312 (05) Data Science Lab 3 |
| SDS432M (06) Sampling Theory |
SDS418 (11) Inference I |
SDS515 (11) Inference II |
SDS314 (10) Multivariate Analysis |
| SDS434M (06) Complex Analysis |
SDS209 (05) Data Science Lab 2 |
SDS516 (11) Non-Parametric Inference |
DE-2 (09) |
| SDS433 (11) Analysis – I |
SDS210 (10) Statistical Computing |
DE-1 (09) / SDS598 (09) | DE-3 (09) |
| SDS208 (05) Data Science Lab 1 |
SDS212M (06) Elementary Stochastic Processes I |
OE-1 (09) | DE-4 (09) / SDS599 (09) |
| SDS206M (06) Matrix Algebra and Linear Estimation I |
SDS313M (06) Elementary Stochastic Processes II |
OE-2 (09) | |
| SDS207M (06) Matrix Algebra and Linear Estimation II |
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| ELC114 (09) | |||
| Credits: 60 | Credits: 49 | Credits: 50 | Credits: 51 |