MS/M.Phil. Statistics – Hajvery University – Lahore

Course Name:    MS/M.Phil. Statistics

Overview

The MS/M.Phil. Degree in Statistics provides advanced training in mathematical and applied statistics, exposure to statistics in a consulting or collaborative research environment and specialized coursework in a number of areas of emphasis. The program is intended to prepare students for careers as practicing statisticians, to provide enhanced research expertise for students pursuing advanced degrees in other fields, and to strengthen the mathematical and statistical training of students preparing for PhD studies in Statistics or a related field. The degree may also be valuable for people working in other fields who need mastery of a broad range of statistical methods.

Number of Semesters:    4

Requirements

1. Sixteen years of schooling or 4 year education (124 credit hours) after HSSC/F.A. /F.Sc/Grade 12 equivalent will be required for admission in the M.Phil. /MS.
2. The GAT-General (www.nts.org.pk/gat/gat.asp) conducted by the National Testing Service with a minimum 50% cumulative score will be required at the time of admission to M.Phil./M.S. The GAT-General test is valid for a period of two years.
3. For award of M.Phil./M.S/Equivalent degree, candidates will need to complete 24 credit hours of course work along with a minimum of 6 credit hours for research work/thesis.

Course Duration:     2 years

Curriculum:

List of Courses:

• Multivariate Analysis
  
• Survey Research Methods
  
• Computer Software’s and Data Analysis-I
  
• Computer Software’s and Data Analysis-II
  
• Research Methodology
  
• Bio Statistics
  
• Data Analysis by R
  
• Distribution Theory I
  
• Distribution Theory II
  
• Mathematical Statistics I
  
• Mathematical Statistics II
  
• Statistical Theory
  
• Industrial Statistics
  
• Time Series Analysis
  
• Contingency Table Analysis
  
• Regression Analysis
  
• Econometrics
  
• Causal Models
  
• Non Linear Regression Models
  
• Survival Data Analysis
  
• Generalized Linear Models
  
• Categorical Data Analysis
  
• Survival Models
  
• Bayesian Statistics
  
• Reliability Theory
  
• Stochastic Models
  

   

  The faculty members conduct research in the following areas:
  

  • Industrial Statistics
    
  • Bio Statistics
    
  • Population Study
    
  • Econometrics
    
  • Managerial Statistics
    
  • Marketing Statistics
    
  • Behavioral Statistics
    
  • Environmental Statistics
    
  • Demography
    
  • Mathematical Statistics
    
  • Statistical Inference
    
  • Multivariate Analysis
    
  • Quantitative Analysis
    
  • Agricultural Statistics
    
  • Educational Statistics
    
  • Office Statistics
    
  • Business Statistics