Computer Information Science with Data Science Concentration, BS
The Bachelor of Science with a concentration in Data Science is a variation of the Bachelor of Science degree with courses designed to train students in the field of big data and analytics. In this program you'll earn our flagship computer information science degree and add specialization in data science.
Degree Requirements
In addition to the requirements stated below, students must complete 34-35 hours of General Education, all requirements for a Bachelor of Science degree, and any additional hours needed to reach the minimum 120 credit hours required for graduation. Some of the courses below may also fulfill general education or other degree requirements. Please see your advisor for more information.
Code | Title | Hours |
---|---|---|
Required Courses Inside Department | ||
CM 111 | Introduction to Structured Programming | 4 |
CM 231 | Computer Organization/Assembler Language | 3 |
CM 245 | Contemporary Programming Methods | 3 |
CM 261 | Networked Systems | 3 |
CM 307 | Data Structures & Algorithmic Analysis | 3 |
CM 322 | Operating Systems | 3 |
CM 331 | Artificial Intelligence | 3 |
or CM 332 | Data Mining | |
CM 333 | Software Engineering | 3 |
CM 334 | Modeling with VBA/Excel | 3 |
CM 336 | Database Management Systems | 3 |
CM 465 | Computer Information Science Capstone Project | 3 |
CM XXX | Any CM electives | 6 |
CM 3XX | Upper Division CM electives | 6 |
Subtotal | 46 | |
Required Courses Outside Department | ||
BU 342 | Organization & Management | 3 |
or BU 346 | Organizational Behavior | |
CN 340 | Interviewing | 3 |
or CN 341 | Persuasive Speaking | |
or CN 342 | Communication-Teams and Groups | |
EC 200 | Principles of Microeconomics | 3 |
or EC 201 | Principles of Macroeconomics | |
MA 140 | Statistics | 3 |
MA 151 | Calculus & Analytic Geometry I | 5 |
MA 206 | Discrete Mathematics for Computing | 3 |
PH 220 | Symbolic Logic | 3 |
Choose three from the following: | 9 | |
Linear Algebra | ||
Discrete Mathematics | ||
ANOVA/Design of Experiments | ||
Nonparametric Tests/Quality Control | ||
Statistical Computing | ||
Mathematical Statistics I | ||
Regression Analysis | ||
Time Series Analysis | ||
Subtotal | 32 | |
Total Hours | 78 |