These pages are intended to provide detailed information about the Data Analytics major at Denison University for interested students and faculty. If you have questions, or would like to request additional information, we invite you to contact Jessen Havill (Director) or Mike Brady (Associate Director), or any of the faculty listed at the bottom of this page.
Overview of the Data Analytics Major
The Data Analytics (DA) major consists of four components, highlighed in different colors below. More information can be found on the official course catalog page. The major check list that we make available to students also contains this information in a compact form.
The pages linked below contain more information, including syllabi, about each of the courses. More information will be added, as time permits.
Foundations Courses
- CS 111: Discovering Computer Science
- CS 181: Data Systems
- MATH 135 or 145: Single or Multivariable Calculus
- MATH 220: Applied Statistics
Data Analytics Courses
- DA 101: Introduction to Data Analytics
- DA 200: Data Analytics Colloquium (1 credit)
- DA 301: Practicum in Data Analytics
- DA 350: Advanced Methods for Data Analytics
- DA 401: Seminar in Data Analytics
Courses from a Chosen Domain
The currently available domains are:
- Anthropology and Sociology
- Biology
- Economics
- Philosophy
- Physics
- Political Science
- Psychology
Alternatively, a student may propose an individually designed domain.
The required courses in each domain include at least one quantitative methods course. The purpose of these electives is to give students disciplinary knowledge that they can carry into their internship and senior seminar.
Data Analytics Summer Experience
Every student majoring in Data Analytics undertakes an internship or research project during the summer after their junior year. Although students are responsible for securing their own internships, we are continually developing relationships with alumni and local organizations that result in new opportunities for our students. We also collaborate closely with the Knowlton Center for Career Exploration to identify opportunities.
Data Analytics Program Committee
The Data Analytics program is administered by an interdisciplinary committee. Feel free to reach out to any one of us with questions!
- Anthony Bonifonte, Data Analytics
- Laura Boyd, Economics
- Mike Brady, Associate Director
- Sam Cowling, Philosophy
- Mine Dogucu, Data Analytics
- Fareeda Griffith, Anthropology and Sociology
- Jessen Havill, Computer Science and Director
- Erin Henshaw, Psychology
- Dan Homan, Physics and Astronomy
- Andy McCall, Biology
- Matt Neal, Mathematics
- Sarah Supp, Data Analytics
More Information
- Blog: Data Analytics in the Liberal Arts
- ACM SIGCSE paper and presentation