DSCI298
INTERNSHIP
This course is offered in a current or upcoming term. Check the official course schedule before registering.
- Department
- Data Science
- Terms offered
- 7
- Data refreshed
- Sep 1, 2026
Description
An Academic internship is a practical work experience with an academic component that enables a student to gain knowledge and skills within an organization, industry, or functional area that reflects the student's academic and professional interests while earning credit. Maybe repeatable for credit
Syllabi
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Offering history & forecast 2022–2026
2022 2026
| Year | Fall | Spring | Summer | Intersession |
|---|---|---|---|---|
| 2030 | 2030 Fall: 60% chance, low confidence. Offered in 4 of 5 fall terms since 2022. Department course count rising about 18% per year. Department faculty is about 61% above its recent average. | 2030 Spring: not enough history to forecast. | 2030 Summer: not enough history to forecast. | 2030 Intersession: 8% chance, medium confidence. Offered in 0 of 6 intersession terms since 2020. |
| 2029 | 2029 Fall: 63% chance, low confidence. Offered in 4 of 5 fall terms since 2022. Department course count rising about 25% per year. Department faculty is about 76% above its recent average. | 2029 Spring: not enough history to forecast. | 2029 Summer: not enough history to forecast. | 2029 Intersession: 7% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017. |
| 2028 | 2028 Fall: 66% chance, low confidence. Offered in 4 of 5 fall terms since 2022. Department course count rising about 26% per year. Department faculty is about 87% above its recent average. | 2028 Spring: not enough history to forecast. | 2028 Summer: not enough history to forecast. | 2028 Intersession: 7% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017. |
| 2027 | 2027 Fall: 69% chance, low confidence. Offered in 4 of 5 fall terms since 2022. Department course count rising about 26% per year. Department faculty is about 97% above its recent average. | 2027 Spring: not enough history to forecast. | 2027 Summer: not enough history to forecast. | 2027 Intersession: 6% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017. |
| 2026 | 1 section | Not offered | 4 sections | No data for this term |
| 2025 | 1 section | 1 section | 2 sections | Not offered |
| 2024 | 1 section | Not offered | Not offered | Not offered |
| 2023 | Not offered | Not offered | Not offered | Not offered |
| 2022 | 1 section | Not offered | Not offered | Not offered |
Forecast Under 15% 15–39% 40–69% 70–89% 90%+ Not enough history
Fall Spring Summer Intersession Darker means more sections Not offered No data for term
Future estimates combine recent offering frequency with detected multi-year cycles. Hover a cell for confidence and evidence; low-confidence estimates are marked with ~.
Meeting times
Most recent firstNo meeting times recorded for this course.
| Term | Professor | Type | Credits | Enrollment | CRN |
|---|---|---|---|---|---|
| Fall 2026 | Gary F. Holness | Tutorial/Priv Inst/Self-Paced | 1 | 1 of 1 enrolled | 25143 |
| Summer 2026 | Li Han | Tutorial/Priv Inst/Self-Paced | 0.25 | 0 of 1 enrolled | 12042 |
| Summer 2026 | Unlisted | Tutorial/Priv Inst/Self-Paced | 0.25 | 0 of 1 enrolled | 12071 |
| Summer 2026 | Catalin C. Veghes | Tutorial/Priv Inst/Self-Paced | 0.25 | 1 of 5 enrolled | 12330 |
| Summer 2026 | Li Han | Tutorial/Priv Inst/Self-Paced | 0.75 | 1 of 5 enrolled | 12366 |
| Fall 2025 | Li Han | Tutorial/Priv Inst/Self-Paced | 0.5 | 1 of 1 enrolled | 24428 |
| Summer 2025 | Li Han | Tutorial/Priv Inst/Self-Paced | 0.25 | 2 of 1 enrolled | 12042 |
| Summer 2025 | Lisa Chase | Tutorial/Priv Inst/Self-Paced | 0.25 | 1 of 1 enrolled | 12071 |
| Spring 2025 | Li Han | Tutorial/Priv Inst/Self-Paced | 0.25 | 0 of 5 enrolled | 34398 |
| Fall 2024 | Li Han | Tutorial/Priv Inst/Self-Paced | 0.5 | 1 of 1 enrolled | 23564 |
| Fall 2022 | John J. Magee IV | Tutorial/Priv Inst/Self-Paced | 0.25 | 1 of 1 enrolled | 22279 |