Courses | B.S. in Computer Science
Below are the course requirements for this academic program. In addition to these program-specific requirements, all majors include Biola's traditional under桃花视频 core curriculum. For more program details, including a sample course sequence, .
Curriculum Requirements
| Code | Title | Credits |
|---|---|---|
| Computer Science majors meet the Core Curriculum requirement of 3 credits in mathematics within the major. The foreign language requirement is met by two years of high school study in the same language or four credits of college foreign language. | ||
| Program Courses | ||
| All concentrations must include 24 upper-division credits. The following courses are required: | ||
| Introduction to Computer Science | 3 | |
| Data Structures | 3 | |
| Computer Organization and Assembly Language Programming | 3 | |
| Programming Languages | 3 | |
| Computer Communications | 3 | |
| Software Engineering | 3 | |
| Program Course Requirements: 18 credits | ||
| Select a Concentration detailed below | 38-39 | |
| 64 | ||
| Total Credits | 120-121 | |
Concentrations
Standard Computer Science (38 Credits)
| Code | Title | Credits |
|---|---|---|
| Concentration Courses | ||
| Operating Systems | 3 | |
| User Interface Design and Programming | 3 | |
| Theory of Algorithms | 3 | |
| Select any two additional CSCI elective courses at the 300 or 400 level 1 | 6 | |
| Calculus I | 4 | |
| Calculus II | 4 | |
| Discrete Structures | 3 | |
| Linear Algebra | 3 | |
| Numerical Analysis | 3 | |
| or | Operations Research | |
| Select two courses at the 300 or 400 level in Computer Science or Math 1 | 6 | |
| Total Credits | 38 | |
- 1
If is selected as a CSCI upper-division elective, it may be taken multiple times with different topics
Data Science and Information Systems (39 Credits)
| Code | Title | Credits |
|---|---|---|
| Concentration Courses | ||
| Management Information Systems | 3 | |
| Business Analytics | 3 | |
| Database Management | 3 | |
| Fundamentals of Calculus | 3 | |
| or | Calculus I | |
| Discrete Structures | 3 | |
| Introduction to Probability and Statistics | 3 | |
| or | Biostatistics | |
| Select any two of the following: | 6 | |
| Programming for Data Science I | ||
| Programming for Data Science II | ||
| Operating Systems | ||
| User Interface Design and Programming | ||
| Select any two additional CSCI elective courses at the 300 or 400 level | 6 | |
| Select any three of the following CSCI/BUSN/MATH Electives: | 9 | |
| The Nature of Computing | ||
| Theory of Algorithms | ||
| Topics in Computer Science 1 | ||
| Internship | ||
| Principles of Microeconomics | ||
| Principles of Accounting I | ||
| Principles of Accounting II | ||
| Business Finance | ||
| Advanced Business Analytics with Machine Learning and AI | ||
| Calculus II | ||
| Linear Algebra | ||
| Statistics II | ||
| Numerical Analysis | ||
| Probability 2 | ||
| Mathematical Statistics | ||
| Operations Research | ||
| Statistics and Data Science Consulting Practicum | ||
| Statistics and Data Science Capstone | ||
| Total Credits | 39 | |
- 1
may be taken multiple times with different topics.
- 2
Additional courses, which are not program or concentration requirements, are required as prerequisites. See department for advising.
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