Data Science Concentration

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

The Data Science Concentration is designed to offer an opportunity for students, mainly in Applied Math and Applied Computing, to acquire data science knowledge and skills in addition to their major

Students are required to take a total of 40 credits, of which 11 credits are of Math, 20 of Computer Science, and 9 of Data Science. Students in Applied Math and Applied Computing are able to complete the requirements as major courses, cognate course, and GE free electives.

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	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 .

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Data Science Concentration

Data Science Curriculum

First Year

Second Year

Third Year

Fourth Year

Total: 40 Credits