First Summer (online): 3 Credits
| Course # | Course Name | Credits |
|---|---|---|
| DACSS 601 | Data Science Fundamentals* | 3 |
First Fall: 9-10 Credits
| Course # | Course Name | Credits |
|---|---|---|
| DACSS 690M | Mathematics for Applied Data Science (Elective #1) | 3 |
| DACSS 602 | Research Design | 3 |
| DACSS 603 | Intro. to Quantitative Analysis | 3 |
| DACSS 691P | Polishing Your Professional Presence**** | 2 |
Spring: 9-10 Credits
| Course # | Course Name | Credits |
|---|---|---|
| DACSS ### | Technical or Substantive Elective #2** | 3 |
| DACSS ### | Technical or Substantive Elective #3 | 3 |
| DACSS ### | Technical or Substantive Elective #4 | 3 |
| DACSS ### | Professional Development Class 2**** | 1 |
Second Fall: 9 Credits
| Course # | Course Name | Credits |
|---|---|---|
| DACSS ### | Technical or Substantive Elective #5 | 3 |
| DACSS ### | Technical or Substantive Elective #6 | 3 |
| DACSS 604 | Advanced Data-Driven Storytelling*** | 3 |
Total Minimum Credits (for non-concentration degree): 32****
*DACSS 601 must be taken in the first semester. DACSS690M is a review course to prepare students for DACSS (substantive elective)
**Students must take at least 9 Technical Electives credits. There is no minimum number of Substantive Electives credits required.
***DACSS 604 should be taken in the last or second to last semester. Required Prerequisites: 601, 602, 603 (or approved substitutes). Strongly recommended: 3 DACSS electives (including at least two technical electives).
****Professional development classes are not required for students with 10+ years of work or thesis track students.
NOTE: In-person international students must complete their last semester in person (fall or spring)
NOTE: Starting summer 2024, a minimum grade of B is required for all core courses and a minimum grade of C is required for all elective courses. DACSS FAQs here.