The Master's degree in Data Science and Public Policy is obtained by completing the program's 38 credit hours of course requirements. Of these credit hours, 32 are core courses and 6 are elective courses. Students must complete both the core and specialization elective course credit requirements for the Master's degree.
The minimum requirements that students must meet to qualify for the graduate degree are as follows:
Minimum Course Grade Point Average: B- (CGPA 3.00)
Total Required Credits: 38
In addition:
Students enrolled in the graduate program must maintain a minimum Cumulative Grade Point Average (CGPA) of 3.0 on a 4.00 scale and receive a grade of at least 2.7 (B-) in all courses.
The specified Maximum Time Frame (MTF) for completing the master's program is 54 credit hours.
A graduate student may transfer at most 9 credit hours earned at accredited institutions.
Contributing to a deeper understanding of how the use of data can influence policymaking decisions.
Being able to process data in various formats for analysis in the fields of public policy and governance.
Being able to transform data obtained from different platforms into usable contexts.
Being able to present data analysis results in written, verbal, and visual forms.
Being able to select appropriate methods and tools for data analysis in the fields of public policy and governance.
Increasing the efficiency of government services and enhancing transparency and accountability of the government through data science applications.
Understanding the impact of work in the public sector on the lives of citizens.
Defending effectiveness in the delivery of government services to provide public benefit in the broadest sense.
