Data Science
Data Science is a developing field that combines computer science, statistics, and domain-specific knowledge. This course will introduce students to the field of Data Science via case studies and projects from various domains, including business, digital humanities, social sciences, and sports. Projects will include data visualization, summary, and prediction.
Tools & Methods for Analytics
Analytics is the study of various models, methods and tools that can be applied to gain insights from data. It involves collecting, cleaning, analyzing, summarizing and presenting data in a scalable and generalizable manner. In this course, students will learn to implement each of these steps using appropriate programming environments.
Sample Disciplinary Focus Areas
Generally any minor or other major at the College may serve as a student’s focus area. The following samples illustrate how smaller numbers of courses might comprise a Disciplinary Focus Area.
Biology
BIO 115: Principles of Biology I
BIO 116: Principles of Biology II
BIO 250: Genetics
BIO 330: Evolutionary Ecology
Finance
ACC 227: Managerial Accounting
BUS 350: Principles of Finance
BUS 352: Investments
BUS 451: Intermediate Financial Management
History (European)
HIS 140: Modern Europe since 1750
HIS 288: The Historian as Investigator
HIS 349: The Second World War
HIS 404: Historical Geography
Politics (American)
POL 101: Issues in American Politics
POL 204: State & Local Politics
POL 304: Identity Politics in America
POL 331: Political Thought and Contemporary Social Issues
Sport Management
SMG 150: Intro to Sport Management
SMG 225: Sport Business
SMG 240: Sport & Society
SMG 422: Sport Sales & Sponsorship or SMG 468: Sport Marketing & Promotions
View All Data Science Course Offerings PDF