Abstract: A cross-sectional study was conducted to find out the barriers and their possible solutions to start a new postgraduate computer and engineering programs at Najran University (NU), Kingdom of Saudi Arabia. This study includes interviews and surveys consist of 35 questions. The total number of the participant was 363; most of them were employees at the government and private sectors. In this study to analysis the result IBM’s Statistical Package for the Social Sciences (SPSS) version 22 is used to analyze the result with the respective p-values calculated using the Pearson Chi-square test. Study reveals that 95.6% of participants want to pursue a graduate degree. However, only (46.9%) can communicate in English academically. Among the respondents, about (42.1%) started a graduate program before, but only (11%) has completed the program. Others could not continue their graduate programs because they were not able to attend the classes coming from a far distance and uncomfortable classes schedule and time. Hence, questions were distributed among the participants to get their opinions to find the solution. Study reveals that among the participants' both government and private sectors employees shown the importance to have online classes with (69.56%) and to have a comfortable schedule and time of courses with (95.65%). This study outlined the main barriers and possible solutions and recommendations that may be helpful for higher education institutions and organizations to start new graduate programs.

Abdullah Alghamdi, “Analyzing the Barriers and Possibilities with p-values towards Starting a New Postgraduate Computer and Engineering Programs at Najran University: A Cross-Sectional Study” International Journal of Advanced Computer Science and Applications(IJACSA), 11(12), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0111215

@article{Alghamdi2020,
title = {Analyzing the Barriers and Possibilities with p-values towards Starting a New Postgraduate Computer and Engineering Programs at Najran University: A Cross-Sectional Study},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0111215},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0111215},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {12},
author = {Abdullah Alghamdi}
}