data science, b.s. (67 hours *)

data core (24 hours, plus internship)

all data majors must complete the following courses.

• ds 1123 - the power of data in the modern world (3)
• ds 2063 - modern computing applications for analytics (3)

• note: ds 2503 - intro to analytics is an approved substitute for ds 2063 as needed.

• ds 3213 - principles of data science (3) f
• ds 3123 - information ethics and policy (3) f
• ds 3223 - information structures (3) sp
• ds 3323 - principles of statistical analysis and decision modeling (3)
• ds 4223 - data mining and analysis (3) sp
• ds 4403 - practical applications in data (3) (sp)
• ba 390v - internship in business (0-10) f, sp, su

programming sequence - choose one (9 hours)

select one programming sequence from the listing below for a total of 9 hours.  students who have not had instruction and/or experience in python should select the python-based pathway.  all upper-level ds courses taught with python, and thus familiarity with that language is essential.  students with prior experience in python may elect the advanced c++-based programming sequence if desired to gain additional knowledge for working in high performance algorithms and other advanced use cases.   

other required courses

• ma 1314 - calculus i (4) f, sp, su
• ma 2314 - calculus ii (4) f, sp, su
• ma 2903 - logic, proof, and mathematical modeling (3) sp
• ma 3123 - mathematical theory of statistics (3) f
• ma 3213 - linear algebra (3) sp
• ac 2503 - financial accounting (3) f, sp, su
• ec 2403 - principles of macroeconomics (3) f, sp, su
• cs 2243 - database management systems (3) f
• it 2223 - web application development i (3) f, sp
• it 2233 - user interface design (3) sp
• it 3313 - network principles (3) f, sp
• it 3413 - systems analysis and design (3) f
• sec 3113 - fundamentals of information security (3) f, sp