Admission Requirements
- Bachelor’s degree.
- Overall undergraduate GPA of at least 3.0.
- Satisfy the School of Graduate Studies’ English Language Proficiency requirements as published in the graduate catalog.
- International applicants who have received their bachelor’s or master’s degree in the United States or English-speaking Canada are not required to submit the TOEFL or IELTS.
- Satisfy all admission requirements of the School of Graduate Studies
Degree Requirements
Students seeking the Master of Science degree in Data Science must satisfy all general requirements set forth by the School of Graduate Studies as well as particular requirements set forth by the School of Electrical Engineering and Computer Science. To obtain the MS in Data Science, students must complete 36 credit hours in the following courses
Required Courses - 36 credits:
Course List| Code | Title | Credits |
|---|
| EECS 501 | Computing Foundations I | 3 |
| EECS 502 | Computing Foundations II | 3 |
| EECS 503 | Mathematics for Computing | 3 |
| DATA 520 | Databases | 3 |
| DATA 525 | Data Engineering and Mining | 3 |
| DATA 527 | Predictive Modeling | 3 |
| DATA 530 | Artificial Intelligence | 3 |
| DATA 532 | Applied Machine Learning | 3 |
| DATA 540 | Data Visualization | 3 |
| DATA 550 | Data Security | 3 |
| PHIL 575 | Data Science Ethics | 3 |
| or DATA 589 | Data Science Ethics |
| DATA 994 | Data Science Capstone | 3 |
Students with an established background in programming and/or mathematics may petition to skip one or more of EECS 501, EECS 502, or EECS 503, depending on background knowledge. Such students may substitute any course with prefix EE, CSCI, or EECS that is eligible for graduate credit.
In addition to meeting these program requirements, you must also meet the UND School
of Graduate Studies admissions requirements to apply for this program.
The requirements on this page are pulled from UND’s academic catalog and may not reflect
future terms. Updates are published annually in April.