BSI - Data Science
Degree Requirements: BSI - Data Science Major
| Code | Title | Hours |
|---|---|---|
| Required Courses | ||
| Minimum 124 semester hours to include the following: | ||
| Distribution Lists | ||
| Research Writing Distribution List (AS) | 3 | |
| Literature in Context Distribution List (AS) | 3 | |
| Communication and Media Literacy Distribution List (AS) | 3 | |
| Contemporary Social Issues Distribution List (AS) | 3 | |
| Religion | ||
| REL 1310 | The Christian Scriptures | 3 |
| REL 1350 | The Christian Heritage | 3 |
| Foreign Language and Culture | ||
| Foreign Language and Culture Distribution List (ECS) | 3 | |
| Other Requirements | ||
| PSC 1387 | The U.S. Constitution, Its Interpretation, and the American Political Experience | 3 |
| PHI 1310 | Computer Ethics | 3 |
| Lifetime Fitness: Any LF 11XX course | 1 | |
| Chapel: Two Semesters | 0 | |
| General Elective Credit | 8 | |
| Mathematics and Statistics | ||
| MTH 1321 | Calculus I | 3 |
| MTH 1322 | Calculus II | 3 |
| MTH 2311 | Linear Algebra | 3 |
| STA 3381 | Probability and Statistics | 3 |
| STA 4373 | Computational Methods in Statistics | 3 |
| Lab Sciences | ||
| Select eight hours of corresponding lecture/labs from the following: | 8 | |
| Modern Concepts of Bioscience and Modern Concepts of Bioscience Laboratory | ||
| Modern Concepts of Bioscience, continued and Modern Concepts of Bioscience Laboratory | ||
| Basic Principles of Modern Chemistry I and General Chemistry Laboratory I | ||
| Basic Principles of Modern Chemistry II and General Chemistry Laboratory II | ||
| The Dynamic Earth | ||
| The Earth Through Time and The Earth Through Time, Laboratory | ||
| General Physics for Natural and Behavioral Sciences I | ||
or PHY 1420 | General Physics I | |
| General Physics for Natural and Behavioral Sciences II | ||
or PHY 1430 | General Physics II | |
| Data Science Major | ||
| Required Courses | ||
| CSI 1401 | Introduction to Programming I | 4 |
| CSI 1402 | Introduction to Programming II | 4 |
| CSI 2300 | Introduction to Data Science | 3 |
| CSI 3374 | Software Project Management | 3 |
| DSC 2334 | Computing and Computer Fundamentals | 3 |
| DSC 2350 | Discrete Structures for Data Science | 3 |
| DSC 3310 | Cloud Computing | 3 |
| DSC 3334 | Algorithms and Data Structures | 3 |
| DSC 3335 | Database Design and Applications for Data Science | 3 |
| DSC 3344 | Analytics for Machine Learning | 3 |
| DSC 4310 | Machine Learning | 3 |
| DSC 4320 | Data Visualization | 3 |
| DSC 4354 | Cybersecurity for Data Science | 3 |
| DSC 43C8 | Big Data | 3 |
| DSC 43C9 | Data Science Capstone | 3 |
| A grade of “C” or better is required in all Computer Science and Data Science hours counted toward major. | ||
| Required Minor or Secondary Major | ||
| Select at least 18 hours that would fulfill a minor or secondary major. Minors in Mathematics, Statistics, or Computer Science will not apply. | 18 | |
| Total Hours | 124 | |