Data Sciences and Operations 566:

Marketing Analytics (3.0 units)

Applications and models of marketing-related data analyses to the development of data-driven marketing strategies and making data-driven marketing decisions. Duplicates credit in the former DSO 566.
  • Restriction: Registration open to the following major(s): Accounting, Business Administration/East Asian Area Studies, Business Administration/Industrial & Systems Engineering, Business Administration/Jewish Nonprofit Management, Business Administration/Pharmacy, Business Administration/Real Estate Development, Business Administration/Social Work, Business Research, Business Taxation, Business Analytics, Gerontology/Business Administration, Business Administration, Juris Doctor/Business Administration, Law/Business Taxation, Medicine/Business Administration, Marketing, Social Entrepreneurship, Business Administration/Urban Planning, Business Administration/Systems Architecting and Engineering, Global Supply Chain Management, Public Health/Social Entrepreneurship
  • Restriction: Registration open to the following class level(s): Doctoral Student, Master Student
  • Crosslist: This course is offered by the MKT department but may qualify for major credit in DSO. To register, enroll in MKT 566.
  • Note: Sections 16562 and 16563 are for MS Business Analytics students only. Sections 16546 and 16547 are for MBA and other graduate students. Duplicates credit in the former DSO 566.
SectionSessionTypeTimeDaysRegisteredInstructorLocationSyllabusInfo
16546R071Lecture2:00-3:20pmMon, Wed24 of 30Kalinda UkanwaONLINEPDF (95460 KB)notesession datesbook list
16547R071Lecture3:30-4:50pmMon, Wed23 of 48Kalinda UkanwaONLINEPDF (95460 KB)session datesbook list
16562D071Lecture2:00-3:20pmMon, Wed26 of 30Kalinda UkanwaONLINEPDF (95460 KB)notesession datesbook list
16563D071Lecture3:30-4:50pmMon, Wed3 of 12Kalinda UkanwaONLINEPDF (95460 KB)notesession datesbook list
Information accurate as of September 23, 2020 1:00 pm.
The Fall 2020 semester will begin with fully remote instruction, with limited exceptions for clinical education. Faculty will contact students to provide information to login to classes. Read more.