Data Science Concentration

Data science is an emerging interdisciplinary field that applies scientific methods, processes, algorithms and systems to extract knowledge from data.

The Data Science Concentration provides an opportunity for students majoring in related fields (primarily Computing and Mathematics) to develop a substantial background of knowledge and skills in the field to supplement their majors.

The program requires the completion of a total of 40 credits, but many of the required courses can be used to satisfy requirements of majors in the related fields. Thus, the program is designed to be completed within four years of study alongside these established majors.

For more information on the Mathematics department, visit its website.

Data Science Curriculum

Department and Number - Descriptive Title of Course	Credits
First Year
MATH 114 - (Q) Calculus I	4
MATH 221 - Calculus II	4
CMPS 134 - Computer Science I /CMPS 134L	4
CMPS 144 - Computer Science II /CMPS 144L	4
Second Year
MATH 351 - Linear Algebra	3
CMPS 240 - Data Structures and Algorithms	3
DS 201 - (Q) Introduction to Data Science	3
DS 210 - Mathematical Methods for Data Science *	3
Third Year
CMPS 340 - Introduction to Database	3
CMPS 341 - Database Systems	3
DS 362 - Data-Driven Knowledge Discovery	3
Fourth Year
CMPS 372 - Artificial Intelligence	3
Total: 40 Credits

*MATH 310 - Applied Probability and Mathematical Statistics may be used to substitute DS 210 .

Data Science Concentration

Data Science Curriculum

First Year

Second Year

Third Year

Fourth Year

Total: 40 Credits