Major Requirements
The requirements for a major in data science are 38-39 credits:
| Code | Title | Hours |
|---|---|---|
| Required Courses | ||
| MATH 121 | Calculus I | 4 |
| CSC 125 | Introduction to Computer Science | 4 |
| CSC 225 | Fundamental Structures | 4 |
| CSC 330 | Introduction to Database Management | 3 |
| DATA 200 | Introduction to Data Analytics | 4 |
| DATA 470 | Applied Data Project | 4 |
| Select one of the following: | 3-4 | |
| Introduction to Statistics | ||
| Business Statistics | ||
| Statistics and Psychology Measurement | ||
| Research Methods and Statistics | ||
| 12 Additional credits in Data numbered 300 and above | 12 | |
| Total Hours | 38-39 | |
Degree and Graduation Requirements
In addition to the program-specific requirements listed above, all students must complete the graduation requirements specified for their degree. See the Degree and Graduation Requirements section for more information.
Suggested Four-Year Plan
The four-year plan detailed below is a suggested coursework sequence. This plan may need to be adapted based on course offerings as well as individual student circumstances, such as transfer credit and study away experiences.
| First Year | ||
|---|---|---|
| Fall | Hours | |
| FYS 110 | Engaged Citizenship Seminar | 4 |
| COM 110 or ENG 110 |
Communicating to Engage or Writing to Engage |
4 |
| DATA 200 | Introduction to Data Analytics | 4 |
| MATH 121 | Calculus I | 4 |
| WELL 110 | Engaging in Lifelong Wellness | 1 |
| Hours | 17 | |
| Spring | ||
| MATH 205 or BUSN 320 |
Introduction to Statistics or Business Statistics |
3-4 |
| CSC 125 | Introduction to Computer Science | 4 |
| ENG 110 or COM 110 |
Writing to Engage or Communicating to Engage |
4 |
| World Language I | 4 | |
| WELL 111 | Engaging in a Balanced Life | 1 |
| Hours | 16-17 | |
| Second Year | ||
| Fall | ||
| CSC 225 | Fundamental Structures | 4 |
| DATA 317 | Forecasting (or Exploration - Natural Science) | 4 |
| REL 200 | Christianity and Religious Diversity | 4 |
| World Language II | 4 | |
| Hours | 16 | |
| Spring | ||
| DATA 318 or DATA 316 |
Data Mining or Applied Statistical Models |
4 |
| CSC 330 | Introduction to Database Management | 3 |
| Core Exploration - Humanities + U.S. Diversity | 4 | |
| Core Exploration - Arts | 4 | |
| Hours | 15 | |
| Third Year | ||
| Fall | ||
| DATA 470 | Applied Data Project | 4 |
| DATA 317 | Forecasting (or Exploration - Natural Science) | 4 |
| Core Exploratin | 4 | |
| Elective | 4 | |
| PEAK 400 | PEAK | 0 |
| Hours | 16 | |
| Spring | ||
| DATA 318 or DATA 316 |
Data Mining or Applied Statistical Models |
4 |
| Elective or Recommended Supporting Course | 4 | |
| Elective or Recommended Supporting Course | 4 | |
| Elective | 4 | |
| Hours | 16 | |
| Fourth Year | ||
| Fall | ||
| Religion 300 J Core Course + Global | 4 | |
| DATA 470 | Applied Data Project (or Elective) | 4 |
| Elective or Recommended Supporting Course | 4 | |
| Elective or Recommended Supporting Course | 4 | |
| PEAK 400 | PEAK | 0 |
| Hours | 16 | |
| Spring | ||
| Elective or Recommended Supporting Course | 4 | |
| Elective or Recommended Supporting Course | 4 | |
| Elective | 4 | |
| Elective | 4 | |
| Hours | 16 | |
| Total Hours | 128-129 | |