- Full-Time On-Campus Suggested Timeline
- 4+1 Accelerated MS in DACSS Suggested Timeline
- Part-Time Online MS in DACSS Suggested Timeline
Full-Time On-Campus Suggested Timeline
Summer I (online): 6 Credits
| Course # | Course Name | Credits |
|---|---|---|
| DACSS 600^ | Mathematics for Applied Data Science | 3 |
| DACSS 601^^ | Data Science Fundamentals* | 3 |
Fall I: 11 Credits
| Course # | Course Name | Credits |
|---|---|---|
| DACSS 602^^ | Research Design | 3 |
| DACSS 603^^ | Intro. to Quantitative Analysis | 3 |
| DACSS 691P | Polishing Your Professional Presence | 2 |
| DACSS ### | Technical or Substantive Elective | 3 |
Spring I: 11 Credits
| Course # | Course Name | Credits |
|---|---|---|
| DACSS 621 | Ethics in Data Science & AI | 2 |
| DACSS ### | Technical Elective | 3 |
| DACSS ### | Advanced Technical Elective | 3 |
| DACSS 713/756 | Advanced Statistical Methods/Machine Learning for Social Scientists | 3 |
Summer II: Optional Credits
| Course # | Course Name | Credits |
|---|---|---|
| Internship Recommended |
Fall II: 6 Credits
| Course # | Course Name | Credits |
|---|---|---|
| DACSS ### | Technical or Substantive Elective | 3 |
| DACSS 698R* | Capstone/Research Lab | 3 |
Total Minimum Credits: 34
| ^Students may request to waive the DACSS 600: Essential Math requirement based on prior math background. If approved, the student must take one additional substantive or technical elective in addition to the two required courses in order to satisfy total credit requirement. No more than 2 of these should be substantive. | |||
^^ Students may request to waive a core class from the DACSS advising page. If approved, a replacement class will be specified. | |||
| Minimum Grade requirements: B minus for core classes, C for elective classes | |||
| *Synchronous. Fall & Spring semester only. Not recommended for online students. | |||
| See UMass Graduate School Master's Requirements here. 21 credits must be DACSS or in the major. | |||
| Full time at the graduate level is 9 credits per fall or spring semester. Enroll in continuous enrollment (GRADSCH 999) for any Fall or Spring semester when you aren't taking classes. Taking fewer than 9 credits may affect loan deferral, parental health insurance, or have other implications. | |||
4+1 Accelerated MS in DACSS Suggested Timeline
Undergraduate Year: At Least 6 Credits, Preferably 9
All DACSS 4+1 students can count 9 graduate-level credits taken as an undergraduate towards both their bachelor’s and master’s degree requirements. Some students may take another up to 3 graduate credits as an undergraduate that will count ONLY towards the masters. These additional 3 credits must be over the 120 undergraduate credits needed to graduate, and not used toward undergraduate requirements. No more than 12 credits total taken as an undergraduate may be used towards the masters.
| Course # | Course Name | Credits |
|---|---|---|
| DACSS 600^ | Mathematics for Applied Data Science | 3 |
| DACSS 601^^ | Data Science Fundamentals* | 3 |
| DACSS 602^^ | Research Design | 3 |
Graduate Summer*: 3 Credits
Please request a summer start date from admissions if taking summer classes.
| Course # | Course Name | Credits |
|---|---|---|
| DACSS 603^^ | Intro. to Quantitative Analysis | 3 |
| Internship Recommended |
Graduate Year Fall: 11 Credits
| Course # | Course Name | Credits |
|---|---|---|
| DACSS 691P | Polishing Your Professional Presence | 2 |
| DACSS 756 | Machine Learning for Social Scientists | 3 |
| DACSS ### | Technical or Substantive Elective | 3 |
| DACSS ### | Technical or Substantive Elective | 3 |
Graduate Year Spring: 11 Credits
| Course # | Course Name | Credits |
|---|---|---|
| DACSS ### | Advanced Technical Elective | 3 |
| DACSS ### | Technical Elective | 3 |
| DACSS 621 | Ethics in Data Science & AI | 2 |
| DACSS 698R** | Capstone/Research Lab | 3 |
Total Minimum Credits: 34
| ^Students may request to waive the DACSS 600: Essential Math requirement based on prior math background. If approved, the student must take one additional substantive or technical elective in addition to the two required courses in order to satisfy total credit requirement. No more than 2 of these should be substantive. | |||
^^ Students may request to waive a core class from the DACSS advising page. If approved, a replacement class will be specified. | |||
| Minimum Grade requirements: B minus for core classes, C for elective classes | |||
| *Online only, asynchronous. Fall & Spring semesters. Recommended for online students. **Synchronous. Fall & Spring semester only. Not recommended for online students. | |||
| See UMass Graduate School Master's Requirements here. 21 credits must be DACSS or in the major. | |||
| Full time at the graduate level is 9 credits per fall or spring semester. Enroll in continuous enrollment (GRADSCH 999) for any Fall or Spring semester when you aren't taking classes. Taking fewer than 9 credits may affect loan deferral, parental health insurance, or have other implications. | |||
Part-Time Online MS in DACSS Suggested Timeline
Online Summer I*: 6 Credits
| Course # | Course name | Credits |
|---|---|---|
| DACSS 600^ | Essential Math for Applied Data Science | 3 |
| DACSS 601^^ | Data Science Fundamentals | 3 |
Online Fall I: 5 Credits
| Course # | Course name | Credits |
|---|---|---|
| DACSS 621 | Ethics of Data Science & AI | 2 |
| DACSS 603^^ | Intro to Quantitative Analysis | 3 |
Online Winter I: 3 Credits
| Course # | Course name | Credits |
|---|---|---|
| DACSS 602^^ | Research Design | 3 |
Online Spring I: 5 Credits
| Course # | Course name | Credits |
|---|---|---|
| DACSS 691P | Polishing your Professional Presence | 2 |
| DACSS XXX | Technical or Substantive Elective | 3 |
Online Summer II: 6 Credits
| Course # | Course name | Credits |
|---|---|---|
| DACSS XXX | Technical or Substantive Elective | 3 |
| DACSS XXX | Technical | 3 |
Online Fall II: 6 Credits
| Course # | Course name | Credits |
|---|---|---|
| DACSS XXX | Advanced Technical Elective | 3 |
| DACSS 756 | Machine Learning | 3 |
Online Spring II: 3 Credits
| Course # | Course name | Credits |
|---|---|---|
| DACSS 684* | Capstone: Adv Data Driven Storytelling | 3 |
Total Credits: 34
| ^Students may request to waive the DACSS 600: Essential Math requirement based on prior math background. If approved, the student must take one additional substantive or technical elective in addition to the two required courses in order to satisfy total credit requirement. No more than 2 of these should be substantive. | |||
^^ Students may request to waive a core class from the DACSS advising page. If approved, a replacement class will be specified. | |||
| Minimum Grade requirements: B minus for core classes, C for elective classes | |||
| *Online only, asynchronous. Fall & Spring semesters. Recommended for online students. | |||
| See UMass Graduate School Master's Requirements here. 21 credits must be DACSS or in the major. | |||
| Full time at the graduate level is 9 credits per fall or spring semester. Enroll in continuous enrollment (GRADSCH 999) for any Fall or Spring semester when you aren't taking classes. Taking fewer than 9 credits may affect loan deferral, parental health insurance, or have other implications. | |||