PhD Statistics – UMT

Course Name:    PhD Statistics

Overview:   

PhD program offers broad opportunities to the scholars. This program best suits to those seeking research and teaching careers in future. They can play AN effective role in improving the quality of education by adopting academic profession. They can be very successful in industry and can play strategic role in decision making on the basis of their meticulous knowledge and training.

Number of Semesters:    N/A

Requirements

• Eighteen years degree or MS/M.Phil. Statistics with a minimum Cumulative Grade Point Average (CGPA) of 3.0 out of 4.
  
• The candidate must have passed GAT subject test or GRE subject test with minimum of 60% marks.
  

Course Duration:     3 Years

How to apply:

• Applicant
  
  • Issuance of Admission form
    
• Fill in Application form
  
• Submit to Admission Office
  
  • Completely filled Application form
    
  • 4 – Photographs
    
  • Photocopies of all Academic Doc’s
    
• Checked by Admission officer
  
  • Approved to the Admission Test
    
  • Admit card
    
• Test & Interview
  
  • NTS/UMT Entry test
    
  • Interview
    
• Merit list
  
  • Accepted candidates
    
• Fee Submission
  
  • Submit Admission & Library Charges
    
  • First Installment of Tuition Fee
    
• Orientation
  

Curriculum:

Core Courses

• Advanced Techniques in Statistical Analysis 
  
• Advanced topics in Experimental Designs
  
• Advanced topics in Sampling Techniques
  
• Advanced topics in Regression Analysis
  

Elective Courses (Any Three)

• Advanced topics Population and Demographic Analysis
  
• Advanced topics Stochastic Processes
  
• Advanced topics Financial Engineering
  
• Advanced topics Reliability Analysis
  
• Advanced topics Survival Analysis
  
• Advanced topics Bio-Statistics
  
• Advanced topics in Statistical Computing
  

PhD Thesis

A participant shall be allowed to start working on thesis after completing the course work of 18 credit hours with a min.