Computer Science – Physics
Computer and Data Sciences combines technical skills with the liberal arts to hone problem-solving skills that may be used in a wide array of settings. The integrated majors with mathematical sciences, chemistry and physics deepen these skills while developing specific disciplinary expertise in these sciences.
- Ripon No. 1 in state for how much graduates earn, according to U.S. Department of Education
- Professor of physics emerita Mary Williams-Norton publishes article about teaching
- Akash Sen ’16 graduates from dual-degree engineering program
- Dual-degree program brings double the benefits for engineering studies
47 credits that include:
- PHY 131
- PHY 172
- PHY 251
- CSC 101 Introduction to Programming
- CSC 236 Data Analysis and Visualization
- CSC 336 Data Structures and Algorithms
- CSC 371 Artificial Intelligence and Applied Machine Learning
- 4 credits in CSC
- 4 credits in PHY
- 4 credits in CSC or PHY
- PHY 501,502 (must complete computer/data sciences oriented project)
- Each integrated major requires students to complete a culminating project applying computer and data sciences to the other discipline; these projects take place in the senior seminar.
- Skills in problem-solving, oral presentation writing and critical thinking are refined and developed in the upper-level disciplinary courses taken in physics, as described in the Catalog sections for each integrated major.