Computing - Computer Science Concentration
Acceptance to Major Requirements
Course Requirements:
| Code | Title | Hours |
|---|---|---|
| CSCI 150 | Introduction to Computing in the Liberal Arts and Sciences | 4 |
| CSCI 155 | Conceptual Approaches to Computing | 2 |
| CSCI 160 | Problem Solving, Programming, and Computers | 4 |
| CSCI 200 | Abstraction, Data Structures, and Large Software Systems | 4 |
Minimum Grade for required courses: No more than one of the above courses has a grade below C
Minimum GPA for required courses: The GPA in the above courses is 2.5 or better
Other: Students will be conditionally accepted into the CSCI major if they have not yet completed all the courses needed for unconditional acceptance into the major but are currently enrolled in the courses which are lacking and they meet the other two criteria for acceptance on the courses completed thus far.
Computing Major
Students can select from two concentrations: computer science and interdisciplinary computing. The computer science major concentration focuses on the study and implementation of algorithms and the theoretical foundations of computing. It is appropriate for students interested in the full range of computing including software design, systems analysis, and graduate study in computer science.
Data Science Major
The Computer Science Department offers a major in computer science; Computer Science also offers a major in Data Science jointly with the Mathematics Department. Students may not double major in Computer Science (either concentration) and Data Science. Information about data science major is in a separate section for that major. In addition, students may develop individualized majors which meet their particular interests. (See the section on individualizing a traditional major under Academic Regulations.)