Programme Details
- Programme Code
- PG0501S
- Level
- Postgraduate
- Programme Type
- DEGREE
- Delivery Mode
- F2F
- Specialization
- Statistics and Computing
- Duration
- 2 yrs
- Minimum Duration (months)
- 24.00
- Maximum Duration (months)
- 48.00
- Credit Scheme
- CREDIT
- Total Credits
- 80
- Exam Scheme
- S
- Term Type
- SEMESTER
- Total Terms
- 4
- Year of Start
- 2013
- Lateral Entry
- Not Allowed
- Interim Exit
- Not Allowed
- Fee Mode
- S
- Course Fee Applicable
- NO
- Qualification Applicable
- Yes
- Programme Status
- ACTIVE
Courses in this Programme
Statistical Inference and Point EstimationSemester 1 · 3 creditsMeasure and Probability TheorySemester 1 · 3 creditsSampling Techniques and Design of ExperimentSemester 1 · 3 creditsFunctions & Numerical ComputingSemester 1 · 3 creditsComputing with RSemester 1 · 3 creditsPractical Paper based on papers MSMS -101, 102, 103, 104 and MSMS -105Semester 1 · 4 creditsData Mining & Statistical Pattern RecognitionSemester 2 · 3 creditsAdvanced Statistical InferenceSemester 2 · 3 creditsLinear Algebra and Basics of Linear RegressionSemester 2 · 3 creditsDistribution Theory & Stochastic ProcessSemester 2 · 3 creditsOperations ResearchSemester 2 · 3 creditsPracticals based on MSMS-201, 202, 203, 204, 205Semester 2 · 4 creditsTime Series AnalysisSemester 3 · 3 creditsStatistical Machine LearningSemester 3 · 3 creditsMultivariate AnalysisSemester 3 · 3 creditsLifetime Data AnalysisSemester 3 · 3 creditsSAS and Statistical ComputingSemester 3 · 3 creditsPractical based on above papersSemester 3 · 4 creditsBayesian StatisticsSemester 4 · 3 creditsComputational Statistics IISemester 4 · 3 creditsAdvanced Regression AnalysisSemester 4 · 3 creditsPractical based on above papersSemester 4 · 3 creditsProject WorkSemester 4 · 4 credits