Data Science
Program in Data Science
The Program in Data Science offers students an interdisciplinary approach to the study of data and data analytics toward the goal of transforming the data to understanding. It bridges the fields of science, computer science, mathematics, statistics, and a domain area of choice. Students get the opportunity to learn and use the latest tools and technologies in statistics and machine learning, while also learning to effectively communicate their results to the world. The program concludes with an internship or research experience in data science. While not a major, courses applied toward the requirements for the data science program may also be counted toward requirements in other majors or minors.
As an interdisciplinary program, students must complete two computer science courses, two math courses, and an additional course in the knowledge domain they are pursuing. The program culminates in an internship or research experience related to data science.
Requirements for the Program in Data Science
| Course | Title | Hours |
|---|---|---|
| Computing Fundamentals | 3 | |
| Programming & Problem Solving 1 | ||
| Mathematical Fundamentals | 6 | |
| Calculus I | ||
| Statistical Methods I | ||
| Data Science Fundamentals | 3 | |
| Data Science | ||
| Domain Knowledge | 3 to 4 | |
| Auditing | ||
| Econometrics | ||
| Climate Change (with lab) | ||
| Terrestrial Ecology (with lab) | ||
| Quantitative Environmental Methods & Models (with lab) | ||
| Investments | ||
| Corporate Financial Analysis | ||
| Data Science Practicum 2 | ||
| Total Hours | 15-16 | |
- 1
Students must complete COSC 235 with a grade of 'C' or higher.
- 2
Students must also complete an internship or significant research project involving data science and approved in advance by the program coordinator. The student must submit a final report and present a talk on campus summarizing the internship or findings of the research project