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CSE 2600: Introduction to Data Science and Engineering
Introduction to a broad selection of challenges and methodologies in working with big data. Topics to be covered include fundamental data science lifecycle topics such as data acquisition, management, integration, visualization, modeling, analysis, prediction, as well as data security, data privacy and ethics.
- Credits
- 3
- Offered
- Spring 2027, Fall 2026
- Campuses
- Storrs, Stamford
- Requirements
- CSE 1010. Not open for credit to students who have passed CSE 4095 when offered as "Introduction to Data Science and Engineering." May not be taken out of sequence after passing CSE 4820 or CSE 5819.
Spring 2027 sections
Taught by Matthew Lamoureux and Joanna Gilberti.
| Section | Type | Meets | Instructor | Campus | Room | Seats |
|---|---|---|---|---|---|---|
| 001 | LEC | 3:30PM - 4:45PM / MoWe | Matthew Lamoureux | Storrs | MCHU 206 | 11 of 60 open |
| 801 | LEC | 6:20PM - 8:50PM / We | Joanna Gilberti | Stamford | DWTN 240 | 12 of 20 open |
Seats as of Nov 12, 2026. HuskyScheduler shows live seats when you search.
Fall 2026 sections
Taught by Matthew Lamoureux.
| Section | Type | Meets | Instructor | Campus | Room | Seats |
|---|---|---|---|---|---|---|
| 001 | LEC | 9:05AM - 9:55AM / MoWeFr | Matthew Lamoureux | Storrs | MCHU 205 | 11 of 60 open |
Seats as of Nov 12, 2026. HuskyScheduler shows live seats when you search.
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