With the growing abundance of data gathered in nearly every field, statistics and data science methods have become invaluable for transforming data into useful information. A statistics and data science (SDS) major at St. Olaf gives students the quantitative, analytical, and communication skills to navigate an increasingly data-rich world. As a subject, statistics and data science lies at the intersection of mathematics, computer science, and statistics and connects naturally to the sciences (natural and social), the humanities, and even the arts. Students pursuing a statistics and data science major at St. Olaf will take courses that blend theoretical and practical concepts, exploring foundational ideas in computational thinking, statistical modeling, and mathematical underpinnings. SDS emphasizes a hands-on approach, and students will gain proficiency in programming languages and statistical software commonly used in the field. In addition, SDS courses encourage students to examine ethical considerations and societal implications of data collection and analysis, a particularly important consideration in the growing world of “big data”. As a part of the Department of Mathematics, Statistics, and Computer Science (MSCS) students that major in statistics and data science will have access to faculty and resources in these related but distinct disciplines.
Typical First-Year Schedule
Fall
- FYS 120 or WRIT 120 or Conversation Program
- World Language
- OLE Core/Elective
- OLE Core/Elective
january term
- OLE Core/Elective
Spring
- FYS 120 or WRIT 120 or Conversation Program
- World Language
- OLE Core/Elective
- OLE Core/Elective
Additional Information
Most students begin with SDS 172: Statistics 1. Students with AP Statistics (4 or 5) should begin with SDS 164: Data Science 1.
Students can take SDS 172 or SDS 164 in their first year. Often there is not space in these courses to meet first year student demand. Taking your first SDS course your sophomore year allows plenty of time to complete the Statistics and Data Science major.
CREDIT FOR PREVIOUS COURSEWORK
- AP scores of 4 or 5 may be sufficient preparation for SDS 272: Statistics 2. Since many students have not had exposure to statistical software (R) we encourage beginning SDS 164: Data Science 1 before enrolling in SDS 272.
- Credit for transfer courses or other programs is done in consultation with the Registrar, the Statistics and Data Science Program Director, and MSCS Chair.
Placement
Not applicable.
Informational Events
Nothing at this time.
CONTACT INFORMATION
Director, Statistics and Data Science – Katie Ziegler-Graham (kziegler@stolaf.edu)