Recommended Course Sequence: Data Science Major (B.A. or B.S.)

Check all course descriptions for prerequisites before planning schedule.

First Year

• ENG 100/P College Writing/Plus - 3–5 credits
• MAT 155/243/195 LAC I Mathematics - 4–8 credits
• Tier I LAC requirements - 12–15 credits
• CSC 202 Introduction to Machine Intelligence - 3 credits
• BIS 205 Information Management - 3 credits
• Choose one:
  • CSC 101 Introduction to Computer Science
  • DSC 205 Data Science and Society

Total 30 Credits

Second Year

• Tier II requirements - 12 credits
• Foreign Language - 0–6 credits
• CSC 203 Advanced Programming for Data Science - 3 credits
• Choose one:
  • MAT 216 Statistical Data Analysis - 3 credits
  • MAT 315 Applied Probability and Statistics - 4 credits
  • Approved introductory statistics course
• MAT 342 Explorations in Data Science - 3 credits
• EES 300 Basics of Geographic Information Systems - 3 credits
• EES 301 Introduction to Geographic Information Systems Laboratory - 1 credits
• BIS 373 Business Database Management - 3 credits

Total 30 Credits

Third Year

• Choose one:
  • CSC 341 Database and Information Management - 3 credits
  • BIS 373 Business Database Management - 3 credits
• Choose one:
• MAT 343 Explorations in Data Analytics - 3 credits
• CSC 305 Data Mining and Applications - 3 credits
• One or Two Data Science Major Electives - 3–6 credits
• LAC Tier II electives - 6 credits
• Minor - 0–6 credits

Total 30 Credits

Fourth Year

• BIS 449 Data Visualization - 3 credits
• LAC Tier III/Writing Stage 3
• One – Three Data Science Major Electives - 3–9 credits
• Minor - 0–6 credits
• Electives - 12–15 credits

Total 30 Credits

Honors

All 400-level courses are honors courses