Master of Science
Data Science & Statistics

Students will manipulate and prepare large data sets for analysis through common techniques to clean data and identify trends and outliers.

Students will develop an ethical framework from which to critically examine the origins, uses, and implications of their work with data.

Students will learn to describe and apply the common techniques used in statistics and predictive modeling and choose an appropriate technique to model and to make predictions on a dataset.

Students will demonstrate that they can communicate data-driven results effectively, both orally and in writing, by completing a graduate project, internship or through participation in the YSU Data Mine.

The admission requirements are those specified as the minimum admission requirements of the College of Graduate Studies, which can be found here. 

Students not satisfying all of these requirements may be admitted with provisional status subject to the approval of the graduate program director and the graduate dean.

Undergraduate students can apply for admission into the accelerated program for the MS in Data Science and Statistics after completing 78 semester hours with a GPA of 3.3 or higher. After being admitted into the program, students can take a maximum of nine semester hours of graduate coursework that can count toward both a bachelor’s and master’s degree. The courses chosen to count for both undergraduate and graduate coursework must be approved by the Graduate Executive Committee upon admission into the program. An additional three hours of graduate coursework can be completed as an undergraduate and used exclusively for graduate credit.

• A minimum of 30 semester hours of credit
• A cumulative grade point average of at least 3.0
• The student must complete core degree requirements comprising the following courses or their equivalent:

• Students are strongly encouraged to participate for one-year in the YSU Data Mine as their culminating experience.
• At least 15 hours of the student’s approved program must be at the 6900 level. In addition to completing the courses which make up the core, students must complete additional hours of elective courses to satisfy 30-semester hour requirement for the degree. Recommended course groupings are described below.

• Before completing 12 semester hours, the student must submit the entire degree program for approval and evaluation by the Graduate Executive Committee. Subsequent revisions to this program must be approved by the Graduate Executive Committee. 
• Students must participate in an exit interview during the semester in which they plan on graduating. The exit interview will be conducted with one or more members of the Graduate Executive Committee.

Electives

Students satisfy the elective requirement for the degree by choosing a courses from the following list.  Other courses may be selected subject to approval of the Graduate Executive Committee.

Students with particular interests or career goals are advised to choose their elective courses based upon the recommendations below.

Data Science

Statistics

GIS

BioInformatics

Business Analytics

The Data Mine is a partnership between Youngstown State University and Purdue University that is open to all students with a focus on making Data Science accessible for all. Through this opportunity, you are exposed to fields related to data science, providing real-world learning experiences with local, regional and national business partners. 

Learn More About the Data Mine Here