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M.Phil Statistics

Introduction

In continuation of the BS Statistics program, further higher training toward research is essential in Pakistan. The Best University in Multan is providing higher research facilities to the students of Southern Punjab in many disciplines in M.Phil. Statistics. ISP is the only institution in Southern Punjab providing this facility with highly qualified and trained faculty. Moreover, ISP is also providing facilities of research to the students in many vacant research areas, so that after completing their degrees they can get jobs.

Program Educational Objectives (PEOs)

After completion of M.Phil. degree in Statistics our students shall be able to:

PEO-I

Acquire a sound knowledge and deeper understanding of Statistics and will be able to pursue their studies for Ph.D. in Statistics.

PEO-II

Do research in Statistics as well as related areas of other disciplines.

PEO-III

To read, discuss, write and present Statistics with proper reasoning.

PEO-IV

To work both independently and collaboratively on statistical problems in their own as well as allied areas while demonstrating high ethical values.

PEO-V

Acquire a sound knowledge of latest statistical software, needed in their areas.

PEO-VI

Pursue their professional career in universities, research organizations, Business and Finance, Govt. Departments as well as private organizations, etc.; and will be able to reach middle level management within five years.

Programs Learning Outcomes (PLOs)

The PLOs of our M.Phil. Statistics program are as follows:

PLO-I

To apply knowledge of Statistics and other related areas to the solutions of problems occurring in their own areas as well as related areas of other disciplines.

PLO-II

To identify research literature and formulate statistical problems for further analysis and investigations.

PLO-III

To create, select and apply appropriate methods and techniques for the solution of statistical problems.

PLO-IV

To apply their knowledge of social, health, cultural and economic issues in their professional responsibilities.

PLO-V

To apply high ethical values and norms in their professional careers.

PLO-VI

To work effectively as an individual or as a member of team in multi-disciplinary environment.

PLO-VII

To communicate effectively on statistical ideas and techniques with Statistics community as well as society.

PLO-VIII

To engage in life-long learning in the context of latest advancements in their own and related areas.

Eligibility Criteria

  1. Sixteen years of schooling or 4 year education in relevant filed from HEC recognized DAI will be required for admission.
  2. The GAT-General (CAT-C) (www.nts.org.pk/gat/gat.asp) / ISP-Admit Test conducted by the National Testing Service with a minimum 50% cumulative score will be required at the time of admission.

 

Career Prospects

Statisticians not only work in academia but also work in many other fields including the following:

Market researcher

Financial risk analyst

Operational researcher

Business analyst

Data scientist

Investment analyst and many others.

 

NOC

For M.Phill statistics program NOC is granted by HEC Pakistan.

 

Scheme of Studies for M.Phil Statistics Program

Total Credit Hours = 30

Advanced Probability Theory Advanced Statistical Inference I Advanced Design of Experiments
Linear Models and Regression Analysis I Advanced Statistical Inference II Linear Models and Regression Analysis II
Advanced Multivariate Analysis Regression Models for Count Data Time Series Analysis for Forecasting
Advanced Categorical Data Analysis Logical Reasoning and Research Methods Survey Sampling
Longitudinal Data Analysis Survival Data Analysis Applied Stochastic Models
Spatial Data Analysis Advanced Distribution Theory Inference in Stochastic Processes
Advanced Bayesian Inference Optimization Techniques Ecological Statistics
Statistical Methods for Clinical Trials Bayesian Inference Financial Stochastic Models
Statistical Genetics Generalized Linear Models Meta-Analysis
Decision Trees Generalized Linear Mixed Models Advanced Operations Research
Multilevel Modeling Environmental Statistics Advanced Statistical Methods in Quality
Applied Smoothing Techniques Convergence in Probability Structural Equation Models
Casual Inference Measure Theory and Integration Advanced Statistical Theory Thesis
Thesis
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