4+1 Program
Requirements
The 4+1 program in Data Science allows undergraduate students to receive their Master's Degree in a total of five years. Students apply in their junior year and must complete all requirements for the undergraduate and graduate Data Science Programs. They are able to finish the program in only one additional year by double counting 9 credits in their senior year towards both their Undergraduate Degree and their Master's Degree.
Curriculum (Effective Fall 2022)
Non-thesis Track Sample Schedule
Year 1
Fall
- DSCI101
- MATH161
Spring
- MATH162
- COMP141
Year 2
Fall
- MATH212
- MATH215
Spring
- COMP231
- STAT203
Year 3
Fall
- STAT308
- COMP353
Spring
- COMP3XX
- STAT3XX
- COMP317
Year 4
Fall
- Predictive Analytics /Machine Learning: COMP479*
- STAT370
- STAT3XX
Spring
Year 5
Fall
- Introduction to Data Science: DSCI401 (4 credits)
- Data Science Consulting: STAT470 (2 credits)
- STAT4XX
- Database Programming: COMP453
Spring
- STAT4XX
- STAT4XX
- STAT4XX/COMP4XX
Curriculum (Effective Fall 2022)
Thesis Track Sample Schedule
Year 1
Fall
- DSCI101
- MATH161
Spring
- MATH162
- COMP141
Year 2
Fall
- MATH212
- MATH215
Spring
- COMP231
- STAT203
Year 3
Fall
- STAT308
- COMP353
Spring
- COMP3XX
- STAT3XX
- COMP317
Year 4
Fall
- Predictive Analytics /Machine Learning: COMP479*
- STAT370
- STAT3XX
Spring
Year 5
Fall
- Introduction to Data Science: DSCI401 (4 credits)
- Introduction to Data Science Research: DSCI494 (2 credits)
- STAT4XX
- Database Programming: COMP453
Spring
- Data Science Research: DSCI499 (8 credits)
- Data Science Thesis:DSCI595 (1 credit)
Requirements
The 4+1 program in Data Science allows undergraduate students to receive their Master's Degree in a total of five years. Students apply in their junior year and must complete all requirements for the undergraduate and graduate Data Science Programs. They are able to finish the program in only one additional year by double counting 9 credits in their senior year towards both their Undergraduate Degree and their Master's Degree.
Curriculum (Effective Fall 2022)
Non-thesis Track Sample Schedule
Year 1
Fall
- DSCI101
- MATH161
Spring
- MATH162
- COMP141
Year 2
Fall
- MATH212
- MATH215
Spring
- COMP231
- STAT203
Year 3
Fall
- STAT308
- COMP353
Spring
- COMP3XX
- STAT3XX
- COMP317
Year 4
Fall
- Predictive Analytics /Machine Learning: COMP479*
- STAT370
- STAT3XX
Spring
Year 5
Fall
- Introduction to Data Science: DSCI401 (4 credits)
- Data Science Consulting: STAT470 (2 credits)
- STAT4XX
- Database Programming: COMP453
Spring
- STAT4XX
- STAT4XX
- STAT4XX/COMP4XX
Curriculum (Effective Fall 2022)
Thesis Track Sample Schedule
Year 1
Fall
- DSCI101
- MATH161
Spring
- MATH162
- COMP141
Year 2
Fall
- MATH212
- MATH215
Spring
- COMP231
- STAT203
Year 3
Fall
- STAT308
- COMP353
Spring
- COMP3XX
- STAT3XX
- COMP317
Year 4
Fall
- Predictive Analytics /Machine Learning: COMP479*
- STAT370
- STAT3XX
Spring
Year 5
Fall
- Introduction to Data Science: DSCI401 (4 credits)
- Introduction to Data Science Research: DSCI494 (2 credits)
- STAT4XX
- Database Programming: COMP453
Spring
- Data Science Research: DSCI499 (8 credits)
- Data Science Thesis:DSCI595 (1 credit)