Statistics Major
Major Requirements
Degree Type: B.A. or B.S. Minimum Credits Required: 120
University Degree Requirements
For complete details on these and other university degree requirements, refer to the Degree and Graduation Requirements section in the University Catalog.
- Minimum of 120 semester credits (some programs may exceed this minimum).
- Complete the University General Education requirements.
- Minimum institutional GPA of 2.00 based on work taken at NDSU.
- Minimum of 30 credits in resident at NDSU.
- Minimum of 36 upper level credits (courses numbered 300 or higher).
- Students with transfer credit must meet the NDSU 30 credits in residence (#4). Of these 30 credits in residence, a minimum of 15 credits must be in courses numbered 300 or above, and 15 credits must be in the student's declared major curricula.
University General Education Requirements
A list of university approved general education courses along with the administrative policies governing the requirement and the categories is available here.
| Code | Title | Credits |
|---|---|---|
| Category C: Communication | 12 | |
| Category R: Quantitative Reasoning | 3 | |
| Category S: Science and Technology | 10 | |
| Category A: Humanities and Fine Arts | 6 | |
| Category B: Social and Behavioral Sciences | 6 | |
| Category W: Wellness | 2 | |
| Category D: Cultural Diversity | ||
| Category G: Global Perspectives | ||
| Category L: Digital Literacy | ||
| Total Credits | 39 | |
Major Requirements
A grade of ‘C’ or better is required in ALL courses used toward the major.
| Code | Title | Credits |
|---|---|---|
| Statistics Major Requirements | ||
| CSCI 160 | Computer Science I | 4 |
| CSCI 222 | Discrete Mathematics | 3 |
| or MATH 270 | Introduction to Abstract Mathematics | |
| MATH 129 | Basic Linear Algebra | 3 |
| MATH 165 | Calculus I | 4 |
| MATH 166 | Calculus II | 4 |
| MATH 265 | Calculus III | 4 |
| STAT 367 | Probability | 3 |
| STAT 368 | Statistics | 3 |
| STAT 461 | Applied Regression Models | 3 |
| STAT 462 | Introduction to Experimental Design (Capstone) | 3 |
| Electives: Select 15 credits from the following (can choose only one CSCI course): | 15 | |
| Computer Science II | ||
| Simulation Models | ||
| Intermediate Linear Algebra | ||
| Applied Survey Sampling | ||
| Nonparametric Statistics | ||
| Discrete Data Analysis | ||
| Probability and Mathematical Statistics I | ||
| Probability and Mathematical Statistics II | ||
| Introduction to Biostatistics | ||
| Statistical SAS Programming | ||
| Introduction to the R Language | ||
| Time Series | ||
| Minor Requirement | ||
| A minor is required in one of the following disciplines: Social Science, Physical Science, Biological Science, Business, Mathematics, or Computer Science. | 16 | |
| Total Credits | 65 | |
Program Notes:
- Except for courses offered only as pass/fail grading, no course may be taken Pass/Fail.