Degree Descriptions
The Computer Science BA offers students with interests in
computing-related areas an opportunity to choose CS electives that fit their
aspirations.
The Computer Science BS incorporates computing theory,
in preparation for more advanced work, and physical science requirements.
The Mathematics/Computer Science BS combines related
areas
of the two disciplines and is an excellent base for interdisciplinary graduate
work.
GPA Requirement
All classes counting toward the degree must be taken for a letter grade. Students
must meet the minimum GPA requirement of 2.0 to graduate with any major or minor
from the department. Additionally, a letter grade of "D" in a prerequisite course
indicates insufficient preparation for the follow up course and we recommend that
you retake the course. Major/Minor GPA will be calculated using the better of the
grades when a student repeats a course.
Course Requirements
Students who declared these majors before September 5, 2019, may elect to complete these new
requirements OR continue with the prior degree requirements.
New majors and students who declared these majors after September 4, 2019, must complete the requirements specified below, on this page.
Bachelor of Arts in Computer Science
(declarations after Spring 2019)
| Requirement |
Course Name / Criteria
|
| Math 111 |
Calculus I |
| Math 112 |
Calculus II |
| Math 221 |
Linear Algebra |
| CS 170 |
Introduction to Computer Science I |
| CS 171 |
Introduction to Computer Science II |
| CS 224 |
Foundations of Computer Science |
| CS 253 |
Data Structures and Algorithms |
| CS 255 |
Computer Architecture and Machine Level Programming |
| CS 326 |
Analysis of Algorithms |
| CS 350 |
Systems Programming |
| CS 370 |
Computer Science Practicum |
| One (1) course chosen from: |
CS 325: Artificial Intelligence
CS 329: Computational Linguistics
CS 334: Machine Learning
CS 377: Database Systems
|
| Two (2) courses chosen from: |
Any 300-level or 400-level CS classroom course not taken above
|
|
Bachelor of Science in Computer Science
(declarations after Spring 2019)
| Requirement |
Course Name / Criteria |
| Math 111 |
Calculus I |
| Math 112 |
Calculus II |
| Math 221 |
Linear Algebra |
| CS 170 |
Introduction to Computer Science I |
| CS 171 |
Introduction to Computer Science II |
| CS 224 |
Foundations of Computer Science |
| CS 253 |
Data Structures and Algorithms |
| CS 255 |
Computer Architecture and Machine Level Programming |
| CS 326 |
Analysis of Algorithms |
| CS 350 |
Systems Programming |
| CS 370 |
Computer Science Practicum |
| One (1) course chosen from: |
CS 325: Artificial Intelligence
CS 329: Computational Linguistics
CS 334: Machine Learning
CS 377: Database Systems
|
| Three (3) courses chosen from: |
Any 300-level CS classroom course not taken above
As an option, only one of the following Math courses may be substituted for one 300-level CS course:
Math 315: Numerical Analysis
Math 346: Intro to Optimization Theory
Math 347: Non-Linear Optimization
Math 351: Partial Differential Equations
Math 361: Probability & Statistics I
Math 362: Probability & Statistics II
|
| Three (3) courses chosen from: |
Any 400-level CS classroom course
|
|
Bachelor of Science in Mathematics/Computer Science
(declarations after Spring 2019)
| Requirement |
Course Name / Criteria
|
| Math 111 |
Calculus I |
| Math 112 |
Calculus II |
| Math 221 |
Linear Algebra |
| Math 315 |
Numerical Analysis |
| Two (2) courses chosen from: |
Math 346: Intro to Optimization Theory
Math 347: Intro to Non-Linear Optimnization
Math 351: Partial Differential Equations
Math 361: Probability & Statistics I
Math 362: Probability & Statistics II
|
| CS 170 |
Introduction to Computer Science I |
| CS 171 |
Introduction to Computer Science II |
| CS 224 |
Foundations of Computer Science |
| CS 253 |
Data Structures and Algorithms |
| CS 255 |
Computer Architecture and Machine Level Programming |
| CS 326 |
Analysis of Algorithms |
| CS 350 |
Systems Programming |
| CS 370 |
Computer Science Practicum |
| One (1) course chosen from: |
CS 325: Artificial Intelligence
CS 329: Computational Linguistics
CS 334: Machine Learning
CS 377: Database Systems
|
| Two (2) courses chosen from: |
Any 300-level CS classroom course not taken as a requirement from the list above
|
| Two (2) courses chosen from: |
Any 400-level CS classroom course
|
|
Download Degree Guides:
CS BA
CS BS
Math & CS BS
