PhD Statistics

This PhD program aims at providing quality opportunities to research in the fascinating area of Statistics. Today there is hardly any field of scientific investigation which does not employ quantification in terms of statistical models. This program will enable candidates to appreciate and make contributions to statistical research especially in financial, econometric, demographic, computational, and business related applications.  

(DRC is short for Departmental Research Committee)

ELIGIBILITY:

A candidate may embark on his PhD in Statistics at IBA if the applicant has earned an MS (in Statistics) from a foreign / local university of international repute, and in addition to it:

a)       Clears IBA's entry test, or scores 70% in GAT Subjective (Statistics).

b)       Goes through a successful interview at IBA.

 

Other rules:

1. A PhD student has to spend at least first two years of degree’s duration in IBA as full-time PhD scholar.

2. A full-time PhD scholar would be required to teach under-graduate courses as per IBA's policy.

3. A full-time PhD scholar shall be paid a stipend as per IBA's policy.

4. PhD students will be required do to six courses (chosen from the list below) at 600 level as suggested by the research supervisor and/or the DRC.

 

Courses:

The Departmental Research Committee (DRC) is authorized to introduce any new courses added to the following list as and when required:

Course Title

Course Code

Linear Statistical Models 

STA 601

Generalized Linear Models

STA 602

Advanced Probability Theory

STA 603

Stochastic Processes

STA 604

Advanced Statistical Inference

STA 605

Multivariate Statistics

STA 606

Time Series Analysis and Forecasting

STA 611

Experimental Design and ANOVA Models 

STA 612

Statistical Machine Learning

STA 621

Statistical Data Mining and Knowledge Discovery 

STA 622

Classification and Pattern Recognition

STA 631

Optimization Techniques

STA 632

Bayesian Statistics 

STA 641

Reliability and Survival Analysis 

STA 642

Non-Parametric and Semi-Parametric Statistics

STA 651

Simulation and Re-sampling Methods

STA 652

Advanced Operations Research

STA 661

Stochastic Financial Models

STA 662

Financial Time Series

STA 671

Advanced Econometrics 

STA 672

Econometric Analysis of Time Series 

STA 681

Longitudinal and Panel Data Models

STA 682

Functional Data Analysis

STA 691

Functional Time Series Analysis 

STA 692

(Chosen from the mentioned table) at 600 level as suggested by the research supervisor and / or the DRC, spread over two semester. On successful completion of the course work with CGPA of at least 3.0, the candidate qualifies to work on PhD dissertation. Failing to achieve this qualification the candidate would be allowed to improve his / her CGPA by doing two of his courses again. In view of candidate’s request and recommendation of DRC the candidate may do any other two courses to improve the CGPA to the required level

 

Comprehensive Test:

The DRC will decide a Comprehensive Examination on case to case basis.

 

DISQUALIFICATION:

If the candidate fails to qualify for work on PhD dissertation he / she may be awarded an MS degree on the recommendation of the supervisor / DC.

 

GRADUATION ELIGIBILITY

A candidate who accomplishes all the conditions imposed for acquisition of the PhD degree, is also, in addition, required to take the GRE / GAT (subjective) before finally doctoral diploma may be obtained.
 

DEFENSE OF RESEARCH SYNOPSIS / THESIS:

The research synopsis would have to be defended against the DRC. Public defense of the PhD thesis and completion of the degree will commence after examination of the thesis by two foreign examiners.