M.Phil Statistics

M.Phil Statistics

The two-year M.Phil Statistics program at Kinnaird College will provide the students a sound understanding in the theory and applications of statistics. The M.Phil involves a combination of course work and research training and is designed to extend the competence of candidates in their chosen discipline. The program offers range of courses and will provide the quantitative skills and expertise required to carry out various types of econometric and statistical analyses. Students acquire the skills necessary to undertake applied and/or theoretical projects and the ability to communicate the results of their work to wider audiences. The mainstream statistical theory will be supplemented by studies in specialized areas such as Quality Control, Mathematical Statistics, Reliability Theory and Advanced Sampling Techniques.

The program involves a core in mainstream statistical theory and application, supplemented by studies in specialist stream. Students may choose to specialize in any of a number of areas including Quality Control, Mathematical Statistics, Advanced Sampling Techniques and Reliability Theory. The structure and content of the courses within the program focus on the skill and techniques that are relevant and applicable. 

Admission Requirement

  • 04 years BA/B.Sc. (Hons) with a minimum CGPA of 2.50 OR 60% marks in Masters after 02 years BA/ B.Sc. The applicants should have done their Graduation/Masters in Statistics or Mathematics.
  • All candidates must appear for KC Graduate Assessment Test.
  • Only short listed candidates will be called for the Interview.

Scheme of Studies

 

Year 1 – Semester I

Code

Course/Requirement

Credit Hours

XXX XXX

Course – I

3 (3-0)

XXX XXX

Course – II

3 (3-0)

XXX XXX

Course – III

3 (3-0)

XXX XXX

Course – IV

3 (3-0)

Year 1 – Semester II

 

Code

Course/Requirement

Credit Hours

XXX XXX

Course – V

3 (3-0)

XXX XXX

Course – VI

3 (3-0)

XXX XXX

Course – VII

3 (3-0)

XXX XXX

Course – VIII

3 (3-0)

Year 2 – Semester III & IV

Code

Course /Requirement

Credit Hours

XXX XXX

Thesis/ Research Work

6

Total Credit Hours 30

 

List of Core Courses

 

Course Code

Course Title

Credit Hours

STAT 501

Advanced Probability Theory

3 (3-0)

STAT 502

Advanced Sampling Techniques

3 (3-0)

STAT 551

Advanced Statistical Inference

3 (3-0)

STAT 552

Advanced Multivariate Techniques

3 (3-0)

STAT 504

Advanced Research Methods

3 (3-0)

STAT 503

Advanced Statistical Computing

3 (3-0)

 

List of Elective Courses

 

Course Code

Course Title

Credit Hours

STAT 553

Advanced Quality Control

3 (3-0

STAT 554

Advanced Reliability Theory

3 (3-0)

STAT 555

Advanced Survival Analysis

3 (3-0)

STAT 55

Advanced Time Series Analysis

3 (3-0)

STAT 55

Advanced Categorical Data Analysis

3 (3-0)

STAT 558

Advanced Generalized Linear Models

3 (3-0)

 

STAT 55

Structural Equation Models

3 (3-0)

STAT 557

Advanced Regression Analysis

3 (3-0)

STAT 559

Advanced Design of Experiments

3 (3-0)

Research Thesis:

An M.Phil candidate who has completed her course work with a minimum CGPA of 3.00 must present and pass the oral proposal defense examination before she is allowed to carry out her Masters research. On passing the thesis proposal defense the student must carry out a research study which is described in a thesis. She must successfully defend the completed work in an oral examination involving a presentation and question answer session in the presence of an external examiner.

Kinnaird Contact Info

93 Jail Road, G.O.R. – I,

Lahore, Punjab

Postal Code: 54000

info@kinnaird.edu.pk

+92 42 9920 3781 – 84
+92 42 9920 3788

Mon – Fri 9:00A.M. – 5:00P.M.

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