Courses

Semester I

• Probability and Distribution Theory
• Theory of Estimation and Testing of Hypotheses
• Linear Models
  Electives
• Computational Statistics using R
  Or
• Computational Statistics using Python
• Research Methodology
• Practical based on 1,2,3 and 4 or 5

Semester II

• Multivariate Analysis
• Sample Surveys
• Regression Analysis
  Electives
• Machine Learning Techniques
  Or
• Demography
• Practical based 1,2,3 and 4 or 5
• Internship (On Job Training)

Semester III

• Nonparametric Inference
• Design of Experiments
• Time Series Analysis
• Structural Equation Modelling
• Practical based on 1, 2 ,3 and 4
• Statistical Research Project (Individual Project)

Semester IV

• Stochastic Processes
• Survival Analysis
• Statistical Process Control
• Practical based on 1,2,3
• Statistical Research Project (Individual Project)