First Summer (online): 6 Credits
| Course # |
Course Name |
Credits |
| DACSS 690M |
Mathematics for Applied Data Science (recommended) |
3 |
| DACSS 601 |
Data Science Fundamentals* |
3 |
First Fall: 9 Credits
| Course # |
Course Name |
Credits |
| DACSS 602 |
Research Design |
3 |
| DACSS 603 |
Intro. to Quantitative Analysis |
3 |
| DACSS ### |
Technical or Substantive Elective #1** |
3 |
First Spring: 9 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 |
Second Fall: 9 Credits
| Course # |
Course Name |
Credits |
| DACSS ### |
Technical or Substantive Elective #5 |
3 |
| DACSS 604 |
Advanced Data-Driven Storytelling*** |
3 |
| DACSS 699 |
Master's Thesis |
3 |
Second Spring: 3 Credits
| Course # |
Course Name |
Credits |
| DACSS 699 |
Master's Thesis |
3 |
Total Minimum Credits: 36
*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).
NOTE: In-person international students must complete their last semester in person (fall or spring)
NOTE: Starting summer 2023, 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.