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Post-Graduate Diploma in Applied Statistics (PGDAST)

Programme by the School of Sciences

• Programme Guide - PGDAST
• MST-001 Foundation in Mathematics and Statistics
  • Block-1 Fundamentals of Mathematics-I
  • Block-2 Fundamentals of Mathematics-II
  • Block-3 Matrices, Determinants and Collection of Data
  • Block-4 Presentation of Data
• MST-002 Descriptive Statistics
  • Block-1 Analysis of Quantitative Data
  • Block-2 Correlation for Bivariate Data
  • Block-3 Regression and Multiple Correlation
  • Block-4 Theory of Attributes
• MST-003 Probability Theory
  • Block-1 Basic Concepts in Probability
  • Block-2 Random Variables and Expectation
  • Block-3 Discrete Probability Distributions
  • Block-4 Continuous Probability Distributions
• MST-004 Statistical Inference
  • Block-1 Sampling Distributions
  • Block-2 Estimation
  • Block-3 Testing of Hypothesis
  • Block-4 Non-Parametric Tests
• MST-005 Statistical Techniques
  • Block-1 Sampling Designs
  • Block-2 Analysis of Variance
  • Block-3 Design of Experiments
  • Block-4 Random Number Generation and Simulation Techniques
• MSTE-001 Industrial Statistics-I
  • Block-1 Process Control
  • Block-2 Product Control
  • Block-3 Decision and Game Theory
  • Block-4 Reliability Theory
• MSTE-002 Industrial Statistics-II
  • Block-1 Optimisation Techniques-I
  • Block-2 Optimisation Techniques-II
  • Block-3 Regression Modelling
  • Block-4 Time Series Modelling
• MSTE-003 Bio-Statistics-I
  • Block-1 Vital Statistics
  • Block-2 Bioassay
  • Block-3 Epidemiology
  • Block-4 Clinical Trials
• MSTE-004 Biostatistics-II
  • Block-1 Categorical Data Analysis
  • Block-2 Regression Analysis
  • Block-3 Generalised Linear Model
  • Block-4 Survival Analysis
• MSTL-001 Basic Statistics Lab
  • Part A - Representation of Data
  • Part B - Descriptive Statistics
  • Part C - Statistical Inference
  • Part D - Analysis of Variance and Design of Experiments
• MSTL-002 Industrial Statistics Lab
  • Part A - Control Charts for Variables
  • Part B - Control Charts for Attributes
  • Part C - Regression Modeling
  • Part D - Time Series Modeling
• MSTL-003 Biostatistics Lab
  • Part-A Categorical Data Analysis
  • Part-B Regression Analysis
  • Part-C Generalised Linear Model
  • Part-D Survival Analysis