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M.Phil Statistics

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M.Phil Statistics

Introduction

The M.Phil.  Program provides basic research training which motivates scholars to go into high quality research. This ultimately helps to prepare scientific/educational manpower with depth of scholarship and research competence of international level to fill senior positions in research organizations, industry, management, universities and educational institutions.

Objectives

  1. Educate students regarding the major tenets of statistics both in applied and theoretical statistics.  
  2. Advise them about designing, carrying out and presenting an original research work at the leading edge of statistics.
  3. Provide them with rigorous classroom training in theory, methodology, and application of statistics, and provide them the opportunity to work with faculty on advanced research topics.
  4. Train them in explaining their work orally and identifying areas of future research in statistics.

Career Path

  1. Market Research Analyst
  2. Data Scientists
  3. Consultants in statistics
  4. Statistical Officer in different organizations e.g.
  5. Federal Bureau of Statistics
  6. Provincial Bureau of Statistics
  7. Banks
  8. Health Department(Statistician)
  9. Industries (Quality Control Officer)
  10. Insurance Companies 
  11. Population Census
  12. Agriculture Census
  13. Financial Analyst
  14. Operations Research Analyst
  15. Statistician
  16. Meteorologist

Fee Structure M.Phil Statistics

M.Phil Statistics
Duration 2
Total Semester 4
Total Package 347,900
At Admission Time 28,500
Additional Charges at the time of Admission 2,700
Examination Fee 3,500
Total Amount (At Admission) 31,200
Installment 40363 * 8
Additional Charges at the time of Admission
Web Portal fee per year for Learning Management Syste 0
Library Security Fee (Refundable) 2,000
Student Card 200
Library & Magazine Fund 500
Total Additional Charges 2,700
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Scheme of Study

Semester 1

Sr.# Course Code Course Name Credit Hours
1 STAT602 logical Reasoning and Research Methods 3
2 STAT610 Advanced Categorical Data Analysis 3
3 STAT629 Advanced Survival Analysis 3
4 STAT614 Meta-Analysis 3

Semester 2

Sr.# Course Code Course Name Credit Hours
1 STAT600 Advanced Probability Theory 3
2 STAT603 Advanced Sampling Techniques 3
3 STAT601 Advanced Multivariate Analysis 3
4 STAT603 Advanced Sampling Techniques 3

Semester 3

Sr.# Course Code Course Name Credit Hours
1 ELEV601 ELECTIVE-I 3
2 ELEV602 ELECTIVE-II 3
3 FYPJ699 Research Thesis 3

Semester 4

Sr.# Course Code Course Name Credit Hours
1 FYPJ699 Research Thesis 3
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Introduction
Related Programs
Objectives
Career Path
Fee Structure
Scheme of Study