PhD statistics – Hajvery University – Lahore

Course Name:    PhD statistics

Overview

Traditionally a PhD (Doctor of Philosophy) degree has been, and indeed continues to be, the essential foundation for a career in research or higher education. In recent years, the demand for PhD-trained statisticians and probabilists, has seen sustained growth also outside the traditional academic sphere. To a large extent, this reflects the general, sustained demand globally for graduates with good statistical skills; a PhD represents the pinnacle of advanced training in statistical methods, and this is widely recognized by major employers.

The need for good PhD-trained statisticians in academia and other scientific research establishments continues to be very strong indeed, with demand out-stripping supply. Demand for statistics PhD graduates outside academia, for example in finance, pharmaceuticals, marketing, internet services and other areas of public activity and commerce, is also very strong at present. Statistics and probability are disciplines that open doors to a particularly wide variety of interesting and rewarding careers!

Number of Semesters:    2

Requirements

For admission into the PhD minimum CGPA 3.0 (out of 4.0 in the Semester System) or First Division (in the Annual System) in M.Phil./M.S/Equivalent degree is required.

Course Duration:     ———————

Curriculum:

List of Courses Ph.D. Statistics:

• Advanced Research Methodology
  
• Research Ethics
  
• Plagiarism
  
• Quality Assurance
  
• Survival Data Analysis
  
• Econometrics Models
  
• Fertility Analysis
  
• Ordered Random Variables
  
• Mixed Distributions
  
• Mixed Models
  
• Research and PhD Studies
  
• Reliability Analysis
  
• Quantitative Research Methods
  
• Non Response in Surveys
  
• Questionnaire Developing
  

   

  The faculty members conduct research in the following areas:
  

• Bio Statistics
  
• Industrial Statistics
  
• Agricultural Statistics
  
• Population Study
  
• Multivariate Statistics
  
• Statistical Inference
  
• Sampling
  
• Mathematical Statistics
  
• Behavioral Statistics
  
• Marketing Statistics
  
• Environmental Statistics
  
• Quantitative Analysis
  
• Educational Statistics
  
• Business Statistics