A computer science minor is designed to provide the computer science skills and know-how you need to succeed in today’s highly digital world. A minor requires completion of five CS courses—more than enough to gain proficiency while easily fitting around your major requirements. No prior programming experience is needed.
Looking to gain technical knowledge that directly applies to your major? Students have the option to pursue a Khoury meaningful minor.
Note: Khoury minors are only available to non–Khoury majors; students in Khoury-only or Khoury-combined degrees are not eligible for Khoury minors. A student may receive at most one Khoury minor, regardless of how many Khoury minors they qualify for.
Complete all courses listed below unless otherwise indicated. Also complete any corequisite labs, recitations, clinicals, or tools courses where specified.
Required Courses
| Code | Title | Hours |
|---|---|---|
| Computer Science Fundamental Courses | ||
| CS 2500 and CS 2501 | Fundamentals of Computer Science 1 and Lab for CS 2500 | 5 |
| CS 2510 and CS 2511 | Fundamentals of Computer Science 2 and Lab for CS 2510 | 5 |
Computer Science Electives
| Code | Title | Hours |
|---|---|---|
| Complete three courses that are not already required in the following ranges: | 12 | |
CY 3000 or higher, except CY 4930 | ||
IS 3000 or higher, except IS 4900 | ||
One course from Khoury meaningful minors list (see below). | ||
Khoury Meaningful Minors
The concept of “Khoury meaningful minors” allows students the chance to personalize a computer science minor to meet individual academic needs and interests. Students may take one elective related to computation or information from a pre-approved list of courses offered across the university rather than from within Khoury. This allows students to integrate the minor with a course in their own major or with a course in another area of interest. Students may of course choose to take all electives in the minor within Khoury if they wish.
| Code | Title | Hours |
|---|---|---|
| Bouvé Health Sciences | ||
| Introduction to Health Informatics and Health Information Systems | ||
| Data Management in Healthcare | ||
| Personal Health Interface Design and Development | ||
| Evaluating Health Technologies | ||
| Arts, Media and Design | ||
| Introduction to Photography | ||
| Animation Basics | ||
| Video Basics | ||
| Programming Basics | ||
| Interaction Design 1: Responsive | ||
| Physical Computing | ||
| Information Design 1 | ||
| Interaction Design 2: Mobile | ||
| Information Design Studio 1: Principles | ||
| Information Design History | ||
| Research Methods for Design | ||
| Social Networks | ||
| Digital Storytelling and Social Media | ||
| Introduction to Music Technology | ||
| Engineering | ||
| Bioengineering Measurement, Experimentation, and Statistics | ||
| Embedded Design: Enabling Robotics | ||
| Fundamentals of Digital Design and Computer Organization and Lab for EECE 2322 | ||
| Computer Architecture and Organization | ||
| Computer Vision | ||
| High-Performance Computing | ||
| Introduction to Machine Learning and Pattern Recognition | ||
| Khoury Computer Sciences | ||
| Computer Science and Its Applications | ||
| Discrete Structures | ||
| Science | ||
| Genetics and Molecular Biology | ||
| Neurobiology | ||
| Comparative Neurobiology | ||
| Bioinformatics Programming | ||
| Bioinformatics Computational Methods 1 | ||
| Bioinformatics Computational Methods 2 | ||
| Molecular Modeling | ||
| Geographic Information Systems | ||
| Advanced Spatial Analysis | ||
| Syntax | ||
| Semantics | ||
| Math Fundamentals for Games | ||
| Linear Algebra | ||
| Differential Equations and Linear Algebra for Engineering | ||
| Numerical Analysis | ||
| Mathematical and Computational Methods for Physics | ||
| Computing, Data, and Science | ||
| Sensation and Perception | ||
| Biological Psychology | ||
| Psychology of Language | ||
| Cognition | ||
| Social Science and Humanities | ||
| Mathematics for Economics | ||
| Technologies of Text | ||
| Science and Pseudoscience | ||
| Introduction to Logic | ||
| Technology and Human Values | ||
| Ethics and Evolutionary Games | ||
| Philosophy of Science | ||
| Advanced Logic | ||
| Environment, Technology, and Society | ||
| Computers and Society | ||
| D'Amore-McKim School of Business | ||
| Advisory Services and Emerging Accounting Systems | ||
| Entrepreneurship Seminar | ||
| Advanced Financial Strategy | ||
| Management Information Systems | ||
| Marketing Research | ||
| Marketing Analytics | ||
| Digital Marketing | ||
| Supply Chain and Operations Management | ||
| Statistics Courses | ||
| Analyzing and Using Data on Crime and Justice | ||
| Statistics | ||
| Math and Statistics for Economists | ||
| Biostatistics | ||
| Engineering Probability and Statistics | ||
| Statistics and Software | ||
| Probability and Statistics | ||
| Statistics and Stochastic Processes | ||
| Business Statistics | ||
| Research Methodology and Biostatistics | ||
| Foundations of Biostatistics | ||
| Quantitative Techniques | ||
| Statistics in Psychological Research | ||
Credit/GPA Requirement
20 semester hours required
2.000 GPA required in the minor