PhD in Statistics

Knowledge

K1
Acquiring an in-depth, comprehensive, and coherent knowledge of the concepts and theories of Statistics and Probability.

K2
Understanding advanced topics and applications of Statistics in the fields of survival analysis, nonparametric statistics, time series, multivariate analysis, and other special topics in Statistics.

K3
Outlining statistical knowledge appropriate to professional activities.

Skills

S1
Adopting advanced concepts and theories of Statistics to model real-life problems.

S2
Understanding research literature in the fields of Statistics and having the ability to interpret, analyze, and evaluate the significance of that research in extending knowledge in the field.

S3
Explaining and applying statistical reasoning for problem-solving.

S4
The ability to read and write statistical research papers and carry out the required simulation studies.

Competence

C1
Communicating and working effectively with team members and exhibiting professional levels of conduct.

C2
Taking responsibility for self-learning; identifying and using means of finding new information or analytical techniques needed for the completion of tasks.

C3
Communicating depth and breadth of mathematical knowledge, both orally and in writing.

1- Admission requirements and procedures are summarized in the general graduate catalogue of the department and through the comprehensive Deanship of Graduate Studies KSU‘s admissions website
https://graduatestudies.ksu.edu.sa/en

2- Candidates must qualify to specific other departmental requirements (4.5 from 5) and GRE-Math with score 550

First Year – First Semester

First Year – Second Semester

Second Year – First Semester

Second Year – Second Semester