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:

(i) Clears IBA's entry test, or scores 70% in GAT Subjective (Statistics).
(ii) Goes through a successful interview at IBA.


Duration:

PhD: 4 – 6 years. (Max. possible is 8 years)

 

TEACHING/RESEARCH ASSISTANT POSITIONS:

PhD program is a full time morning program. IBA will offer Teaching/Research assistant positions to PhD students along with a tuition fee waiver. Teaching/Research assistant must not work elsewhere.


Other Rules:

 

1. A PhD student has to spend at least first two years of degree’s duration in IBA as a full-time PhD scholar.
2. PhD students will be required to do 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:

STA 601 Linear Statistical Models
STA 602 Generalized Linear Models
STA 603 Advanced Probability Theory
STA 604 Stochastic Processes
STA 605 Advanced Statistical Inference
STA 606 Multivariate Statistics
STA 611 Time Series Analysis and Forecasting
STA 612 Experimental Design and ANOVA Models
STA 621 Statistical Machine Learning
STA 622 Statistical Data Mining and Knowledge Discovery
STA 631 Classification and Pattern Recognition
STA 632 Optimization Techniques
STA 641 Bayesian Statistics
STA 642 Reliability and Survival Analysis
STA 651 Non-Parametric and Semi-Parametric Statistics
STA 652 Simulation and Re-sampling Methods
STA 661 Advanced Operations Research
STA 662 Stochastic Financial Models
STA 671 Financial Time Series
STA 672 Advanced Econometrics
STA 681 Econometric Analysis of Time Series
STA 682 Longitudinal and Panel Data Models
STA 691 Functional Data Analysis
STA 692 Functional Time Series Analysis

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.