Open to ALL students! The goals of the Data Science Certificate program are achieved by completing three foundational courses followed by an advanced domain-specific course.
Students must take 4 courses (14 to 15 credits) for skills demonstration for the successful completion of the Certificate in Data Science.
Students must maintain a G.P.A. of 2.0 in the courses applied to the certificate. No courses with a grade of D can be counted toward the certificate.
Certificate Completion Form
Congratulations on completing the Data Science Certificate! We are thrilled to recognize your hard work and dedication. To finalize the certification process, please complete this form, which is the final step in confirming your accomplishment. We celebrate your success and look forward to acknowledging your journey in data science (note: please turn the mobile-friendly feature off when accessing the form below on your phone):
DS Certificate Form
Please note that the Certificate Completion Forms will be processed in January and May/June. January graduates can submit their forms starting in December, while May graduates can submit them starting in April.
Next Steps After Submitting the Data Science Certificate Completion Form
Please review the following steps to understand what happens next:
- Your submission will be reviewed, verified, and signed by the Data Science faculty co-directors.
- The Registrar’s Office will be notified, and the certificate will be officially recorded on your transcript.
- A printable PDF certificate will be prepared and signed by the Executive Dean of the School of Arts and Sciences.
- You will receive the signed PDF certificate via email by mid-July.
If you have any questions regarding this process, please email us at .
The processing of the Undergraduate Certificate Completion form is contingent upon the student fulfilling all requirements, namely achieving a grade of C or higher. Kindly submit the form only after completing the requirements and grades have been released.
Course Requirements
Students must take 4 courses (14 to 15 credits) for skills demonstration to successfully complete the Certificate in Data Science.
Students must maintain a G.P.A. of 2.0 in the courses applied to the certificate. No courses with a grade of D can be counted toward the certificate.
Please note:
Classes may be taken in parallel if prereqs are satisfied and/or with permission of program directors.
- Data 101: Data Literacy (01:198:142/01:960:142) must be taken, (no waivers)
- Statistical Inference for Data Science (01:960:291)
- [ As of Dec. 2023, the 01:960:291. Statistical Inference for Data Science requirement has been expanded to include any of the following: 01:960:212 Statistics II, OR 01:960:384 Intermediate Statistical Analysis, OR 33:136:385 Statistical Methods in Business.]
- Data Management: choose one of the following:
- Data Management for Data Science (01:198:210), or
- Data Management and wrangling with R (01:960:295), or
- Fundamentals of data curation and management (04:547:221)
| RU-NB School | Department | Course # Title | |
|---|---|---|---|
| SAS (01) | COMPUTER SCIENCE (198) | 439 Introduction to Data Science | |
| SAS (01) | ECONOMICS (220) | 322 Econometrics | |
| SAS (01) | ENGLISH (359) | 207 Data and Culture | |
| SAS (01) | GENETICS (447) | 303 Computational Genetics for Big Data | |
| SAS (01) | GEOGRAPHY (450) | 320 Spatial Data Analysis | |
| SAS (01) | GEOGRAPHY (450) | 321 Geographic Information Systems | |
| SAS (01) | GEOGRAPHY (450) | 330 Geographical Research Methods | |
| SAS (01) | PHYSICS (750) | 345 Computational Astrophysics | |
| SAS (01) | POLITICAL SCIENCE (790) | 391 Data Science for Political Science | |
| SAS (01) | SOCIOLOGY (920) | 360 Computational Social Science | |
| SAS (01) | STATISTICS (960) | 365 Bayesian Data Analysis | |
| SAS (01) | STATISTICS (960) | 463 Regression Methods | |
| SAS (01) | STATISTICS (960) | 486 Applied Statistical Learning | |
| SCI (04) | DIGITAL COMMUNICATION, INFORMATION, AND MEDIA (189) | 220 Data in Context | |
| SCI (04) | INFORMATION TECHNOLOGY AND INFORMATICS (547) | 321 Information Visualization |
|
| SEBS (11) | BIOTECHNOLOGY (126) | 485 Functional Genomics | |
| SOE (14) | ELECTRICAL AND COMPUTER ENGINEERING (332) | 443 Machine Learning for Engineers | |
| SAS (01) | PSYCHOLOGY | 202 Data Science & Addiction Research Methods 1 (DSARM 1) | |
| SAS (01) | PSYCHOLOGY | 203 Data Science & Addiction Research Methods II (DSARM II) |
📣Announcement: Change to Data Science Minor and Certificate Requirements- Effective April 1, 2025
Please note that the Capstone Project is no longer required to complete the Data Science Minor or the Data Science Certificate. This change applies to all students pursuing the minor or certificate as of the effective date. If you have any questions regarding this update, please contact us at .
View Data Science Certificate Pathway
| # | Number | Title | Prerequisites |
|---|---|---|---|
| I | 01:198:142/ 01:960:142 | Data 101: Data Literacy | Some math knowledge |
| II | 01:960:291 or 01:960:212 | Statistical Inference for Data Science or Statistics II | 01:198:142/ 01:960:142 |
| III | 01:198:210 | Data Management for Data Science, or | 01:198:142/ 01:198:111 |
| 01:960:295 | Data Management and Wrangling with R, or | 01:198:142/ 01:960:142 | |
| 04:547:221 | Fundamentals of Data Curation & Management | 01:198:142/ 01:960:142 | |
| IV | xx:xxx:xxx | Domain Course (select one from the list above.) | Departmental prerequisites |