Ashland University

What you'll study

Study begins with statistical foundations, an introduction to artificial intelligence and coursework on social, ethical and professional issues in computing. Advanced topics include machine learning and intelligent systems, and students complete a capstone experience. The program also permits elective pathways so students can tailor study toward programming, human–computer interaction, business analytics, data visualization, database management or applied statistical analysis.

Entry requirements

The published programme description does not list specific admissions criteria for the minor. Interested students should consult the Academic Catalog or contact the Mathematics and Computer Science Department for departmental prerequisites and enrollment procedures.

Career prospects

Graduates of the minor bring AI and data-analysis skills that complement majors such as computer science, business and mathematics. The programme is intended to enhance career options in sectors adapting AI technologies, including business, healthcare, cybersecurity, education and technology roles that benefit from applied machine learning and data-driven decision making.

Scholarships & funding angle

No specific scholarships are listed for the minor. Students should explore university-wide financial aid, departmental awards and external funding opportunities; contacting the Office of Admissions or the Mathematics and Computer Science Department can identify available supports.