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

• Big Data Analytics: COMP458*
• Categorical Data Analysis: STAT410*
• COMP3XX

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

• Big Data Analytics: COMP458*
• Categorical Data Analysis: STAT410*
• COMP3XX

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)