Wisconsin Lutheran College

What you'll study

Coursework covers contemporary data methods for pattern discovery and prediction, with explicit attention to machine learning and artificial intelligence. Students also develop skills in data visualization, communication for diverse stakeholders, and integrating ethical reflection into data‑driven decision making. The programme culminates in a capstone project that requires students to apply technical knowledge, analytical judgment, and purpose to a real‑world problem.

Entry requirements

The source material does not list specific admissions criteria. Prospective applicants should consult the college for required high‑school preparation, application steps, and any program prerequisites.

Career prospects

Graduates leave with an analytical foundation and technical agility suited to roles across sectors such as healthcare analytics, business operations, and public policy. The programme emphasizes both the practical skills employers seek and the ethical framework needed to apply data responsibly.

Scholarships & funding angle (general)

The published description does not specify scholarships or fees. Applicants should contact Wisconsin Lutheran College’s financial aid office to learn about institutional scholarships, need‑based aid, and external funding options available to undergraduates.