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.
