Bachelor in Data Science (Bachelor's)

Denison’s campus sits on The Hill in Granville, Ohio, a setting with arts and athletics facilities, dining spaces, and opportunities to join student organizations. More than 165 student groups support interests across campus life. Columbus is minutes away, giving students access to a larger city while they study in Granville. Guided tours, information sessions, interviews, and virtual connections are available to prospective students.

The university’s liberal arts education is designed to develop autonomous thinkers, discerning moral agents, and active citizens. Students can choose from more than 65 academic programs, supported by small classes and a 9:1 student-to-faculty ratio. Denison has about 2,500 undergraduate students. Academic opportunities include majors, courses, the King Center for Data & Innovation, arts programs, athletics, internships, career coaching, and consulting experiences.

International students can expect a primarily undergraduate campus with access to academic, cultural, athletic, and career activities in one community. Denison has 26 varsity teams and more than 45 club and intramural sports. The university offers virtual ways to connect before arrival, and its admission process is test-optional, requires no application fee, and does not require a supplemental essay. Denison also states that it meets 100% of demonstrated financial need.

This programme is designed for undergraduate students seeking a structured foundation in data analytics with interdisciplinary depth. Students study core topics including data visualization, statistical modeling, and algorithmic methods through a combination of classroom instruction and hands-on projects. The curriculum emphasizes practical application through a required summer internship or research project. Students also complete a concentration in a specific field such as biology, economics, or sports analytics to integrate data skills with domain knowledge.

Focus areas include Biology, Economics, Earth and Environmental Sciences, Health and Human Movement, Performance Analytics, Sports Economics and Society.

The Bachelor of Arts in Data Analytics requires a minimum of 46 credits, including 34 credits of core coursework, a summer internship or research project, and a concentration in a specific discipline. The core includes foundational courses in data analytics, statistics, and computer science, with advanced methods selected from descriptive, predictive, or prescriptive analytics.

Graduates pursue roles in data analysis, research, and analytics within fields such as environmental science, sports, health, and economics.

Applicants must meet general university admission requirements. No specific prerequisites beyond standard high school coursework are listed. Submission of transcripts and standardized test scores may be required.

The programme totals about 46 credit hours. On-campus, full-time, four-year programme. For international students, tuition is well above the median for US programmes. The institution admits about 17% of applicants.