PhD (Statistics) -University of COMSATS Lahore

Course overview:

The Doctor of Philosophy program in Statistics prepares students, through quality lectures, practical experiences, and other research opportunities, for involvement in teaching and independent and collaborative statistical research. This programme trains researchers to teach and to conduct research on analytical approaches to investigating data driven decision making methodologies
There are excellent opportunities for a person with a degree in statistics. Job opportunities are varied. A candidate with PhD Statistics degree may:

• Consult in the design and analysis of clinical studies, evaluating new pharmaceutical agents;
  
• Design experiments for agricultural, ecological, environmental, or energy-related studies;
  
• Determine mortality, morbidity, and accident rates for an insurance company;
  
• Serve as an opinion pollster for a public relations firm or a television network;
  
• Develop theories of learning and behavior in conjunction with psychologists;
  
• Determine optimal combinations and evaluate performance of various chemicals in industrial setups;
  
• Conduct reliability and quality control studies in various industries;
  
• Develop econometrics, time series, and forecasting models for determining the cause and effects of various socio-economic variables on the society.
  

No. of semesters: 2 semester

Requirements: N/A
Course duration: N/A

How to apply:

• N\A
  

Curriculum:

Graduate Courses

Course Title                    Credit Hours       

Advanced Mathematical Statistics        3(3, 0)       

Survey Sampling Techniques            3(3, 0)       

Statistical Quality Control            3(3, 0)       

Applied Regression Analysis            3(3, 0)       

Advanced Applied Statistics            3(3, 0)       

Experimental Design                3(3, 0)       

Multivariate Theory                3(3, 0)       

Multivariate Analysis                3(3, 0)       

Response Surface Designs            3(3, 0)       

Time Series Analysis                3(3, 0)       

Spatial Statistics I                3(3, 0)       

Linear Statistical Models            3(3, 0)       

Generalized Linear Models            3(3, 0)       

Categorical Data Analysis            3(3, 0)       

Survival Analysis                3(3, 0)       

Advanced Topics in Mathematical Statistics    3(3, 0)       

Advanced Topics in Survey Sampling        0(3, 0)       

Linear Mixed Models                3(3, 0)       

Advanced Econometric Techniques        3(3, 0)       

Spatial Statistics II                3(3, 0)       

Stochastic Analysis                3(3, 0)       

Total Quality Management            3(3, 0)       

Ordered Random Variables            3(3, 0)       

Longitudinal Data Analysis            3(3, 0)       

Bayesian Inference                3(3, 0)       

Multivariate Statistical Models        3(3, 0)       

Advanced Reliability Analysis            3(3, 0)       

Statistical Decision Theory            3(3, 0)       

Advanced Statistical Computing        3(3, 0)       

Thesis

Thesis                        9(0, 9)