fbpx Ph.D. in Information Technology Engineering Program | ARAB AMERICAN UNIVERSITY
Contact information for Technical Support and Student Assistance ... Click here

PhD in Information Technology Engineering

General Information About the Program:

The Ph.D. program in Information Technology Engineering provides a balance among techno­logical, scientific, and social dimensions, that are generally involved in the development and application of information technology.

Degree Title: “Doctor of Philosophy (PhD) in Information Technology Engineering”

The degree title is well-defined and used around the world to embrace all different computer-related subjects and applied computer science.

Degree Certificate: “PhD in Information Technology Engineering”

Program Duration: At least 3 years.

Required Credit Hours: A total of 54 credit hours CH, course work of 30 CH and a dissertation of 24 CH.

Graduation Requirements: Students must successfully complete the 54 credit hours.

 

Scope of the Dissertation:

The PhD dissertation should be equivalent to 24 credit hours.

  1. The PhD dissertation topic should be agreed upon by a committee selected from the staff.
  2. The student should prepare a proposal for the subject of his/her research dissertation under the supervision of an advisor.
  3. The advisors and the committee monitor the progress of the student in his/her research and finally the student defends his/her dissertation.
  4. The curriculum of the program “PhD in Information Technology Engineering” meets the requirements for doctoral programs in universities in general; this is intentional to provide the market with quality senior experts.

The load of a regular student is 9 credit hours per semester and the minimum duration of the program is three years.

 

The program curriculum includes a set of 5 core courses (15 credit hours) and a dissertation (24 credit hours) that should be taken by all students. These courses are as following:

COURSE NAME

C.H.

إسم المساق

ITE 902 – Advanced Algorithms

3

خوارزميات متقدمة

ITE 903 – Quantitative Methods and Experimental Design

3

الأساليب الكمية وتصميم التجارب

ITE 904 – Data Analytics and Mining

3

تعدي وتحليلات البيانات

ITE 905 – Advanced Software Engineering

3

هندسة البرمجيات المتقدمه

ITE 906 – PhD Research Seminar

3

حلقة بحث للدكتوراه

ITE 900 – Qualifying Exam

0

امتحان الكفاءة

ITE 999 – PhD Dissertation

24

رسالة الدكتوراه

ITE 998 – Comprehensive Exam

0

الامتحان الشامل (الكفاءة المعرفية)

ITE 997 – Research and Academic Activities

0

نشاطات بحثية وأكاديمية

 

 

In addition, students can choose a set of elective courses for the remaining 5 elective courses (15 credit hours) to meet their graduation requirements. These courses should be selected to fit in a concentration of each student. Following is a list of elective courses:

COURSE NAME

C.H.

إسم المساق

ITE 911 – Parallel Computing Systems

3

أنظمة الحوسبة المتوازية

ITE 914 – Natural Language Processing

3

معالجة اللغات الطبيعية

ITE 917 – Information Retrieval

3

استرجاع المعلومات

ITE 919 – Computational Biology

3

علم الأحياء الحسابي

ITE 920 – Cloud Computing

3

الحوسبة السحابية

ITE 921 – Cryptography 

3

التشفير

ITE 922 – Computer Architecture

3

عمارة الحاسوب

ITE 930 – Large-Scale Internet Applications

3

تطبيقات الانترنت واسعة النطاق

ITE 931 – Internet of Things

3

انترنت الأشياء

ITE 932 – Wireless Networks Security

3

أمن الشبكات اللاسلكية

ITE 933 – Wireless Sensor Networks

3

شبكات الاستشعار اللاسلكي

ITE 934 – Multi-Agent Systems

3

أنظمة الوكلاء المتعددين

ITE 935 – Digital Image Processing-advanced topics

3

معالجة الصور الرقمية-مواضيع متقدمة

ITE 936 – Human-Machine Interfaces͟ (HMI)

3

واجهات الانسان والآلة

ITE 937 – Artificial Intelligence

3

الذكاء الاصطناعي

ITE 938 – Information Design

3

تصميم المعلومات

ITE 939 – Smart Systems Integration and Simulation

3

تكامل ومحاكاة الأنظمة الذكية  

ITE 923 – Mathematical Modeling

3

محاكاه رياضية

ITE 924 – Advanced Software Testing

3

اختبار البرمجيات المتقدم

ITE 925 – Advanced Software Quality

3

جودة البرمجيات المتقدمة

ITE 940 – Special Topics

3

مواضيع خاصه

 

 

  • Course Study Plan: The program will be implemented by the partner universities alternately, so that students will study in all participating universities as shown below:

First Year – First Semester (at Palestine Polytechnic University)

Courses

Credit Hours

ITE 902 – Advanced Algorithms

3

ITE 903 – Quantitative Methods and Experimental Design

3

Elective Course

3

First Year – Second Semester (at Al-Quds University)

Courses

Credit Hours

ITE 905 – Advanced Software Engineering

3

ITE 904 – Data Analytics and Mining

3

Elective Course

3

Second Year – First Semester (at Arab American University)

Courses

Credit Hours

ITE 906 – PhD Research Seminar

3

Elective Course

3

Elective Course

3

Second Year- Second Semester (at the University where the supervisor teaches)  

Courses

Credit Hours

Elective Course

3

ITE 999 – PhD Dissertation

6

Third Year-First Semester (at the University where the supervisor teaches) 

Courses

Credit Hours

ITE 999 – PhD Dissertation

9

Third Year-Second Semester (at the University where the supervisor teaches) 

Courses

Credit Hours

ITE 999 – PhD Dissertation

9

 

 

The student continues in registration for the thesis with paying the fees, and regularly attends every semester of the fourth year and what comes after that until successfully discussing his/ her thesis.

 

  • The student can graduate in 3 years with the possibility of continuing for the fourth and fifth years, noting that the student can begin with his PhD Dissertation in the fourth semester (end of the second year).
  • The courses above are distributed to ensure that the student studies at least 9 credit hours of courses hours in each of the partner universities, in addition to the dissertation, which can be jointly supervised.
  • The doctoral dissertation may not be discussed for any student before publishing or receiving acceptance to publish a scientific research of his or her thesis in a classified magazine from Scopus or Clarivate Analytics, as well as attending an organized and specialized scientific conference.
  • Tuition Fees: (350) JD for the credit hours, in addition to registration fees (150) JD for the semester.