We are awash in data, models, and predictions. This flood of data has opened up seemingly unlimited possibilities: it allows businesses to make informed recommendations for their clients, health officials to use text and image processing to track and classify health information, or community organizers to help spread the news and civic information through social networks. Whatever your field of study, you need to deal with data. This interdisciplinary data science certificate prepares students to harness data and help realize some of its many possibilities. Students will receive training in mathematics, computation, and statistics; data collection, management, description, and analysis; communication and project management; and ethics, problem-solving, and judgment and decision making.
Course List | Code | Title | Hours |
| |
| 3-6 |
| Data I: Dealing with Data | |
| Introduction to Computing: _____ (and an introductory statistics course including PSYC 210, ECON 426, MATH 365, POLS 306, SOC 380) | |
| PSYC 399 | Data 2: Foundations of Data Science | 3 |
| 3 |
| Ethics in a Wired World | |
| Public Opinion and American Democracy | |
| 3 |
| Fundamentals of Archaeology | |
| Observational Astrophysics | |
| Introduction to Biostatistics | |
| Introduction to Behavioral Research Methods in Communication | |
| Introduction to Econometrics | |
| Methodologies in Digital Humanities, Honors | |
| Field Ecology | |
| Introductory Cartography and Geovisualization | |
| Methods of Analyzing Geographical Data | |
| Introduction to Symbolic Logic | |
| General Physics I Laboratory | |
| General Physics II Laboratory | |
| Political Science Methods of Inquiry | |
| Introduction to Political Computing | |
| Political Polling and Survey Research | |
| Behavioral Economics | |
| Introduction to Social Research | |
| Society and the Economy | |
*Note: Individual courses, including special topics courses, can be approved as counting toward this requirement per the data science steering committee. They may contact the current chair of the data science steering committee to evaluate its potential inclusion as an elective course towards the certificate.
