Course Structure for MASTERS IN STATISTICS

Select the batch below to view the syllabus applicable. To download detailed syllabus for each subject, please click on the subject name.
Batch:  
Code Subject Title (Click to View/Download Syllabus) Credits
MSST Batch 2017 Level 1 Core Papers (Required: 1)
Sem/Year 1
ST17101CR Probability and Distribution Theory-I 4.00
ST17102CR Sample Techniques 4.00
ST17103CR Statistical Computing 4.00
MSST Batch 2017 Level 1 Discipline Centric Electives (Required: 1)
Sem/Year 1
ST17104DCE Stochastic Processes 4.00
ST17105DCE Linear Algebra 2.00
ST17106DCE Practical Based on ST17101CR 2.00
ST17107DCE Practical Based on ST17102CR 2.00
ST17108DCE Practical Based on ST17103CR 2.00
MSST Batch 2017 Level 2 Core Papers (Required: 1)
Sem/Year 2
STM17201CR Probability and Distribution Theory-II 4.00
STM17202CR Linear Models and Regression Analysis 4.00
STM17203CR Advanced Statistical Computing 4.00
MSST Batch 2017 Level 2 Discipline Centric Electives (Required: 1)
Sem/Year 2
STM17204DCE Operations Research-I 4.00
STM17205DCE Advanced Sampling Techniques 2.00
STM17206DCE Practical Based on STM17201CR and STM17202CR 4.00
STM17207DCE Practical Based on STM17203CR 2.00
STM17208DCE Practical Based on STM17204DCE 2.00