Course Information & Syllabus
Semester I
MST-101 Statistical Mathematics I
MST-102 Statistical Mathematics II
MST-103 Distribution Theory
MST-104 Estimation Theory
MST-105 Statistical Computing
MST-116 Practical I
Semester II
MST-201 Probability Theory
MST-202 Theory of Testing of Hypotheses
MST-203 Multivariate Analysis
MST-204 Linear Models & Design of Experiments
MST-205 Sampling Theory
MST-216 Practical II
Semester III
MST-301 Asymptotic Inference
MST-302 Elementary Stochastic Processes
MST-303 Planning and Analysis of IndustrialExperiments
MST-316 Practical II
Elective Papers from which Any Two are to be chosen (Semester III)
MST-321 Reliability Theory
MST-322 Regression Analysis
MST-323 Statistical Genetics
MST-324 Measure Theory
MST-325 Demography
MST-326 Medical Statistics
MST-327 Advanced Stochastic Processes
MST-328 Actuarial Statistics
MST-329 Dissertation
Semester IV
MST-401 Optimization Techniques
MST-416 Practical IV and Project
Elective Papers from which Any Four are to be chosen (Semester IV)
MST-421 Discrete Data Analysis
MST-422 Survival Analysis
MST-423 Industrial Statistics
MST-424 Time Series Analysis
MST-425 Statistical Ecology
MST-426 Econometrics
MST-427 Advanced Multivariate Analysis
MST-428 Data Warehousing and Data Mining
MST-429 Decision Theory