MS Applied StatisticsCredit HoursNo. of Courses/Thesis
Graduation Requirement 30 8/1
Core Course 12 4
Elective Courses 12 4
Thesis 6 1

Program Duration: 2 Years       Semester:  4

Core Courses

  • Advanced Design of Experiment
  • Advanced Multivariate Analysis
  • Logical Reasoning and Research Methods
  • Survey Sampling

Elective Courses (Any Three)

  • Advanced Probability Theory 
  • Linear Models 
  • Advanced Statistical Inference 
  • Advanced Regression Analysis 
  • Regression Models for Count Data 
  • Time Series Analysis and Forecasting 
  • Advanced Categorical Data Analysis 
  • Longitudinal Data Analysis
  • Survival Data Analysis 
  • Applied Stochastic Models 
  • Spatial Data Analysis 
  • Advanced Distribution Theory 
  • Inference in Stochastic Processes 
  • Repeated Measure Analysis 
  • Optimization Techniques 
  • Ecological Statistics 
  • Statistical Methods for Clinical Trials
  • Bayesian Inference 
  • Financial Stochastic Models 
  • Statistical Genetics 
  • Generalized Linear Models 
  • Meta-Analysis 
  • Decision Trees 
  • Generalized Linear Mixed Models  
  • Advanced Operations Research 
  • Multilevel Modeling 
  • Environmental Statistics 
  • Advanced Statistical Methods in Quality Control 
  • Applied Smoothing Techniques  
  • Convergence in Probability
  • Nonparametric Statistics
  • Structural Equation Models
  • Causal Inference
  • Statistical Packages (At-lease one from the following Packages: R-Language, Mathematica, SPSS, Minitab, Stata, Statistica, Matlab, Python)
  • Population and Demographic Techniques
  • Actuarial Statistics
  • Advance Topics in Statistics

MS ThesisThesis shall be of 06 credit hours. A participant shall be allowed to start working on the thesis after completing the course work of 24 credit hours with a min. CGPA of 3 out of 4.