Program Overview

PhD in Applied Statistics

The PhD in Applied Statistics is a comprehensive program designed to equip students with advanced knowledge and skills in statistical analysis and research. The program is tailored to meet the needs of students who have obtained a Master's degree in Commerce or a related field.

Registration Requirements

To register for the PhD in Applied Statistics, students must meet the following conditions:

• Student must have obtained a Master's degree in Commerce in a specialization discipline from a university recognized by the Supreme Council of Universities.
• The Faculty Board can accept a student's registration who has obtained a Master's degree in a different specialization upon a proposal from the Department Board, provided the student passes a number of supplementary courses.
• The comprehensive exam is held for the student in their specialization after passing the courses successfully with a cumulative grade point average of not less than C+.
• Student displays a research plan to the Department Board in a seminar before applying for thesis registration.
• Obtaining the International Computer Driving License (ICDL) and determining the level of foreign language are conditions to be enrolled in the Doctorate degree.
• After passing all courses successfully with an average grade of at least C+ and finishing the thesis subject, a validity report is submitted to the department board.

Hours of Study for the Program

To obtain a doctorate degree, students must study 24 credit hours in addition to 24 hours for the thesis. The breakdown of credit hours is as follows:

• 12 credit hours as compulsory courses
• 12 credit hours as elective courses, with at least one course from outside the department or faculty

Supervisory Authority

The supervisory authority for the PhD program is as follows:

• The Faculty Board approves the formation of a supervisory committee upon a proposal from the department board.
• The committee is formed of professors or professor assistants, with a maximum of three members.
• Students can choose from a number of raised research topics in accordance with the rules of each specialization.
• It is allowed for a professional with a PhD or experience in the specialization field from outside the university to join the supervision committee after Faculty Board approval.

Compulsory Courses

The compulsory courses for the PhD in Applied Statistics are:

1. Probability and random processes (3 credit hours)
2. Statistical inference (2) (3 credit hours)
3. Advanced Applied Statistics (1) (3 credit hours)
4. Advanced Operations Research (2) (3 credit hours)

Elective Courses

The elective courses for the PhD in Applied Statistics are:

1. Time Series (3 credit hours)
2. Advanced Econometrics (2) (3 credit hours)
3. Strong statistics (2) (3 credit hours)
4. Advanced Applied Statistics (2) (3 credit hours)
5. Advanced linear models (3 credit hours)
6. Life and safety tests (3 credit hours)
7. Course from outside the department or faculty (3 credit hours)

The Jury

After preparing the thesis, the Supervisory Committee submits a report on the thesis validity to the relevant department board, indicating what the researcher has done. The Faculty Board forms a judging panel of three members, one of whom is the thesis supervisor, and the other two members are professors from distinct international universities. The judging panel formation is approved by the Vice President for Graduate Studies and Research.