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 |
Core Exploration - Humanities | 4 | |
WELL 111 | Engaging in a Balanced Life | 1 |
Hours | 16-17 | |
Second Year | ||
Fall | ||
CSC 225 | Fundamental Structures | 4 |
DATA 317 | Forecasting (or Minor or Elective Course) | 4 |
World Language I | 4 | |
Core Exploration - Natural Science | 4 | |
Hours | 16 | |
Spring | ||
DATA 318 or DATA 316 |
Data Mining or Applied Statistical Models |
4 |
CSC 330 | Introduction to Database Management | 3 |
World Language II | 4 | |
Core Exploration - Social Science | 4 | |
Hours | 15 | |
Third Year | ||
Fall | ||
DATA 470 | Applied Data Project (or Minor or Elective Course) | 4 |
DATA 317 | Forecasting (or Minor or Elective) | 4 |
REL 200 | Christianity and Religious Diversity | 4 |
Core Exploration - Arts | 4 | |
Hours | 16 | |
Spring | ||
DATA 318 or DATA 316 |
Data Mining or Applied Statistical Models |
4 |
Critical Issues Course | 4 | |
Elective or Recommended Supporting Course | 3-4 | |
Elective or Recommended Supporting Course | 3-4 | |
Hours | 14-16 | |
Fourth Year | ||
Fall | ||
Religion 300 J Core Course | 4 | |
DATA 470 | Applied Data Project (or Elective) | 4 |
Elective or Recommended Supporting Course | 3-4 | |
Elective or Recommended Supporting Course | 3-4 | |
Minor or Elective Course | 3-4 | |
Hours | 17-20 | |
Spring | ||
Elective or Recommended Supporting Course | 3-4 | |
Elective or Recommended Supporting Course | 3-4 | |
Core Exploration - Social Science | 4 | |
Minor or Elective Course | 3-4 | |
Minor or Elective Course | 3-4 | |
Hours | 16-20 | |
Total Hours | 127-137 |
Code | Title | Hours |
---|---|---|
Recommended Supporting Courses | ||
MATH 122 | Calculus II | 4 |
MATH 223 | Calculus III | 4 |
MATH 310 | Linear Algebra | 4 |
MATH 315 | Probability and Mathematical Statistics | 4 |
MATH 330 | Real Analysis I | 4 |
DATA 316 | Applied Statistical Models | 4 |
DATA 317 | Forecasting | 4 |
DATA 318 | Data Mining | 4 |
DATA 470 | Applied Data Project | 4 |