PhD. Program in Computer Science

a blended learning Internet mediated PhD program with aim to emerge and empower women

60

Graduated Women

60+ graduated women of total 110+ Students.

52

Professor

52 professors for 8 batches with different major in computing fields.

6

Publication about Program

Many papers published about the program innovative concept.

About

This program is a blended learning programme which employs the Internet to benefit from the worldwide This Programme seeks to qualify students in the most recent and current areas in this rapidly changing technology using blended learning: face to face and Internet mediated online learning. Currently the Programme is in its eleventh year..

to include, and empower women in postgraduate education via a blended learning Internet mediated PhD program with

Program Objectives
This program is a blended learning programme which employs the Internet to benefit from the worldwide resources in order to fulfill the following objectives:

  • This program is a blended learning programme which employs the Internet to benefit from the worldwide resources in order to fulfill the following objectives:
  • To qualify lecturers at local universities to obtain a PhD in Computer and Information Technology from SUST in current research topics under qualified professors at an affordable cost
  • To empower women in academia by providing the opportunity to obtain the necessary qualification (Munoz-Hermandez & Osman 2016).
  • To assist in providing qualified PhD holders needed by Higher Education.

Reserch Areas

There are different research areas among the program, such as:

Business Modeling, Cloud Computing, Communications, Database Modeling, Data Minig, Information Systems, Data Warehousing, Digital Signal, Video, and Image Processing, eCulture, Fuzzy Logic, Geoinformatics, Information Retrieval and Data Mining, Intelligent Systems, Mobile Learning Technology, Mobile Networks, Natural Language Processing, Text Mining and Language computation, Network Security, Sensor Networks, Soft Computing, Software Engineering, Speech Recognition, Speech analysis, Arabic speech recognition, Vehicular Ad hoc Networks .