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Ph.D. in Applied Statistics

 

 
Semester - 1
Course Name Credit Hours
Elective-I 3
Elective-II 3
Elective-III 3
 
Semester - 2
Course Name Credit Hours
Elective-IV 3
Elective-V 3
Elective-VI 3
 
Semester - 3
Course Name Credit Hours
Synopsis 0
 
Semester - 4
Course Name Credit Hours
Dissertation 12
 
Total Credit Hours 30
 
Specialization
Actuarial Sciences
Advanced Applied Probability
Advanced Experimental Designs-II
Advanced Survey Sampling - II
Agrometric Techniques
Analysis of High-Dimensional Data
Artificial Intelligence Methods
Bio Informatics
Bio-Statistics & Health Statistics
Crimnometrics
Distribution Theories
Environmetrics
Experts Systems
Financial Statistics
Forecasting Methods
Manpower Planning
Micro and Macro Demography
Operations Research
Ordered Random Variables
Rank Set Sampling
Record Values
Regression Analysis
Risk Analysis
Robust Inference and Model Building
Scan Statistics
Sociometrics
Statistical Data Mining
Statistical Information System and IT
Statistical Neural Network
Statistics
Statistics in The Earth Sciences
Stochastic Processes
Stochastic Time Series Analysis
Total Quality Management