Otterbein College

What you'll study

The curriculum emphasizes a rigorous analytics core. Key topics and skills named in the programme description include:

• Computer programming
• Data mining and predictive analytics
• Statistics
• Structuring relational databases and working with unstructured data
• Text analytics, including large-language-model applications
• Data visualization, storytelling, and professional writing and presentation of analytic results
• Opportunities to present work to peers, faculty, and at conferences and competitions

Entry requirements

The course page does not list specific admissions criteria or numeric entry standards. Prospective students should consult Otterbein’s admissions materials for current requirements and application procedures.

Career prospects

Otterbein cites Bureau of Labor Statistics projections that business-analytics roles are expected to grow by more than 10% over the next decade with a median salary above $90,000. Graduates can pursue internships and jobs across many sectors—examples given include politics, retail and distribution, finance, insurance and banking—working in organisations of all sizes in roles that involve data-driven decision support and implementation.

Scholarships & funding angle (general)

The programme notes internship pathways and employer connections that can enhance employability; the course page does not provide specific scholarship or funding details. Applicants should review Otterbein’s financial aid and scholarship resources for undergraduate students to understand available support.