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Data Analytics course catalog

2020-21 

MARTIN COE, Professor, Robert A. Hanson Chair of Data Analytics
BA, St. Ambrose University; MBA, St. Ambrose University; DBA, St. Ambrose University; CPA, Illinois; CISA, CISM, CMA, CGMA, CGFM

Michael Downey, Part-time Instructor of Data Analytics
BS, University of Iowa; MBA, University of Iowa

MINOR IN DATA ANALYTICS. 24 credits, including: DATA 101; DATA 360; CSC 201; Statistics - one of BUSN 211, MATH 330, PSYC 240 or SOAN 227; Content elective - one of ACCT 311, BUSN 325, GEOG 273 or GEOG 274; and Ethical Issues - one of BUSN 307, PHIL 330 or RELG 356.

MAJOR IN DATA ANALYTICS. The major includes two tracks: BUSINESS ANALYTICS which focusses on the use of statistical concepts to extract insights from business data and DATA SCIENCE which focusses on data inference, algorithm building, and systems to gain insights from data. The major requires students to select one of the tracks.

MAJOR IN DATA ANALYTICS - BUSINESS ANALYTICS TRACK. 32 credits, including: DATA 101; DATA 340; DATA 490; BUSN 351; BUSN 352; CSC 201; Statistics - one of BUSN 211, MATH 330, PSYC 240 or SOAN 227; and Ethical Issues - one of BUSN 307, PHIL 330 or RELG 356.

MAJOR IN DATA ANALYTICS - DATA SCIENCE TRACK. 32 credits, including: DATA 101; DATA 350; DATA 490; CSC 201; MATH 250; MATH 330; Statistical Learning; and Ethical Issues - one of BUSN 307, PHIL 330 or RELG 356.,

Grade Point Average Notation: All courses listed in the catalog as required courses for any major and/or minor, including those courses outside of the department or with a different subject coding, are considered part of the major and will count in the grade point average. Some departments may have additional grade requirements for the courses offered within their department. Recommended supporting courses that are optional and not required may also count in the major depending on the program. For more information see your department chair or the degree requirements for Bachelor of Arts and information on Majors/Minors.


Courses (DATA)

computer classroom

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