M.Sc. (2 yrs.) Statistics (starting 2022-23)
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Semester I
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Semester II
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Semester III
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Semester IV
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MSO205 -
Introduction to Probability Theory (3-1-0-0) [11]
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MTH309 - Probability Theory (3-1-0-0) [11]
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MTH441 - Linear Regression and ANOVA (3-0-1-0) [10]
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MTH314 -
Multivariate Analysis (3-0-1-0) [10]
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(Modular – Part 1)
MTH432M - Sampling Theory (3-1-0-0) [06]
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(Modular – Part 1)
MTH212M - Elementary Stochastic Processes I (3-1-0-0) [06]
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MTH515 -
Inference II (3-1-0-0) [11]
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MTH312 -
Data Science Lab 3 (1-0-2-0) [05]
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(Modular – Part 2)
MTH434M - Complex Analysis (3-1-0-0) [06]
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(Modular – Part 2)
MTH313M - Elementary Stochastic Processes II (3-1-0-0) [06]
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MTH516 - Non-Parametric Inference (3-1-0-0) [11]
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DE-2 [09]
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MTH433 - Real Analysis (3-1-0-0) [11]
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MTH418 -Inference I (3-1-0-0) [11]
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DE-1 [09] /
MTH598 [09]
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DE-3 [09]
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MTH208 -
Data Science Lab 1 (0-0-3-2) [05]
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MTH210 - Statistical computing (3-0-1-0) [10]
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OE-1 [09]
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DE-4 [09] /
MTH599 [09]
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MTH206 - Matrix Algebra and Linear Estimation (Module I) (3-1-0-0) [06]
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MTH209 -
Data Science Lab 2 (1-0-2-0) [05]
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OE-2 [09]
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MTH207 -
Matrix Algebra and Linear Estimation (Module II) (3-1-0-0) [06]
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ELC112 (2-1-0-1) [09]
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60
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49
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50
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51
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List of courses
Please find more course information here.
These courses are only for MSc (2 year) Statistics students
Objective Of The Program
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To cultivate a mathematical attitude and nurture the interests,
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To motivate for research in mathematical and statistical sciences,
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To train computational scientists who can work on real life challenging problems
