M.Sc. (2 yrs.) Statistics (starting 2022-23)
Semester I
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Semester II
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Semester III
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Semester IV
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MSO205A -
Introduction to Probability Theory (3-1-0-0) [11]
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MTH309A - Probability Theory (3-1-0-0) [11]
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MTH441A - Linear Regression and ANOVA (3-0-1-0) [10]
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MTH314A -
Multivariate Analysis (3-0-1-0) [10]
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(Modular – Part 1)
MTH432A - Sampling Theory (3-1-0-0) [06]
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(Modular – Part 1)
MTH212A - Elementary Stochastic Processes I (3-1-0-0) [06]
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MTH515A -
Inference II (3-1-0-0) [11]
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MTH312A -
Data Science Lab 3 (1-0-2-0) [05]
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(Modular – Part 2)
MTH434A - Complex Analysis (3-1-0-0) [06]
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(Modular – Part 2)
MTH313A - Elementary Stochastic Processes II (3-1-0-0) [06]
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MTH516A -
Non-Parametric Inference (3-1-0-0) [11]
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DE-2 [09]
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MTH433A - Real Analysis (3-1-0-0) [11]
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MTH418A -
Inference I (3-1-0-0) [11]
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DE-1 [09] /
MTH 598A [09]
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DE-3 [09]
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MTH208A -
Data Science Lab 1 (0-0-3-2) [05]
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MTH210A - Statistical computing (3-0-1-0) [10]
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OE-1 [09]
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DE-4 [09] /
MTH 599A [09]
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MTH206A - Matrix Algebra and Linear Estimation (Module I) (3-1-0-0) [06]
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MTH209A -
Data Science Lab 2 (1-0-2-0) [05]
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OE-2 [09]
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MTH207A -
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