M.Sc. (2 yrs.) Statistics (starting 2022-23)

Semester I

Semester II

Semester III

Semester IV

MSO205A -

Introduction to Probability Theory (3-1-0-0) [11]

MTH309A - Probability Theory (3-1-0-0) [11]

MTH441A - Linear Regression and ANOVA (3-0-1-0) [10]

MTH314A -

Multivariate Analysis (3-0-1-0) [10]

(Modular – Part 1)

MTH432A - Sampling Theory (3-1-0-0) [06]

(Modular – Part 1)

MTH212A - Elementary Stochastic Processes I (3-1-0-0) [06]

MTH515A -

Inference II (3-1-0-0) [11]

MTH312A -

Data Science Lab 3 (1-0-2-0) [05]

(Modular – Part 2)

MTH434A - Complex Analysis (3-1-0-0) [06]

(Modular – Part 2)

MTH313A - Elementary Stochastic Processes II (3-1-0-0) [06]

MTH516A -

Non-Parametric Inference (3-1-0-0) [11]

DE-2 [09]

MTH433A - Real Analysis (3-1-0-0) [11]

MTH418A -

Inference I (3-1-0-0) [11]

DE-1 [09] /

MTH 598A [09]

DE-3 [09]

MTH208A -

Data Science Lab 1 (0-0-3-2) [05]

MTH210A - Statistical computing (3-0-1-0) [10]

OE-1 [09]

DE-4 [09] /

MTH 599A [09]

MTH206A - Matrix Algebra and Linear Estimation (Module I) (3-1-0-0) [06]

MTH209A -

Data Science Lab 2 (1-0-2-0) [05]

 

OE-2 [09]

MTH207A -

Matrix Algebra and Linear Estimation (Module II) (3-1-0-0) [06]

     

ELC112 (2-1-0-1) [09]

     

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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

  • 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