Ph.D. Program

Scheme of Studies for Ph.D. (Statistics)

Normal Duration 6 Semesters (Extendable up to 14 Semesters)
Taught Courses 18 Credit Hours
Thesis (STA-899) 24 Credit Hours
Comprehensive Examination (Written & Oral) (STA-898) S/U Basis
Total 42 Credit Hours

A total of 42 credit hours (details provided below) of coursework is required for Ph.D. in Statistics.
The syllabi and courses for the Ph.D. in Statistics (Semester-I and Semester-II) are detailed below.
The scholar may opt any three courses (09 credit hours) from the following list in each of the Semester-I & II, respectively.
However, the maximum and minimum workload criterion for the scholar will remain as per the semester rules.
Thesis will be submitted at the end of Semester-VI and viva voce examination will be held after the approval of the honorable Vice Chancellor.

Course Code Course Title Credit Hours
STA-801 Advanced Bayesian Inference 3(3+0)
STA-802 Advanced Survival Analysis 3(3+0)
STA-803 Advanced Applied Multivariate Statistical Methods 3(3+0)
STA-804 Mixture Distributions 3(3+0)
STA-805 Statistical Theory for Extreme Events 3(3+0)
STA-806 Reliability Analysis 3(3+0)
STA-807 Bayesian Reliability 3(3+0)
STA-808 Advanced Applied Quality Control 3(3+0)
STA-809 Recent Developments in Statistics 3(3+0)
STA-810 Prediction Theory 3(3+0)
STA-811 Advanced Linear Models 3(3+0)
STA-812 Advanced Applied Generalized Linear Models 3(3+0)
STA-813 Advanced Time Series and Forecasting 3(3+0)
STA-814 Advanced Design of Experiments 3(3+0)
STA-815 Advanced Categorical Data Analysis 3(3+0)
STA-816 Advanced Statistical Methods in Quality Control 3(3+0)
STA-817 Advanced Probability Theory with Applications 3(3+0)
STA-818 Non-linear Estimation 3(3+0)
STA-819 Bayesian Decision Theory 3(3+0)
STA-820 Applied Smoothing Techniques 3(3+0)
STA-821 Convergence in Probability 3(3+0)
STA-822 Structural Equation Models 3(3+0)
STA-823 Causal Inference 3(3+0)
STA-824 Multilevel Modeling 3(3+0)
STA-825 Environmental Statistics 3(3+0)
STA-826 Advanced Numerical Analysis 3(3+0)
STA-827 Integral Transformation 3(3+0)
STA-828 Advanced Integral Equations 3(3+0)
STA-829 Advanced Sampling Techniques with Applications 3(3+0)
STA-830 Applied Stochastic Models 3(3+0)
Semester III & IV
Course Code Course Title Credit Hours
STA-898 Comprehensive Examination (Written & Oral) S/U Basis
STA-899 Thesis (Ph.D.) 24(24-0)