Business Analytics - Academic Certificate (AC)

AC - 1 and a Half Years (NB)
Explore MoreAbout This Program

Certificate Quick Facts

  • Instructional SchoolSocial Sciences and Public Affairs
  • Department: Business
  • Program Code: BUS-ANLYTC.AC
  • Program Type: Academic Transfer
  • Available Fully Online: No
  • Eligible for Federal Financial Aid: No

NOTE: Courses required for this program may have an additional fee; more information can be found on the Special Course Fees web page.

Certificate Requirements

Course Course Title Min Credits
Major Requirements
BUSA 120Business Software Applications3
BUSA 201Business Communication and Professionalism3
BUSA 207Introduction to Business Analytics3
BUSA 208Business Analytics3
BUSA 270Big Data and Business Analytics4
Minimum Credit Hours Required16

NOTE: This certificate is not currently eligible for federal financial aid.

Certificate Plan: Summer Start

The course sequence listed below is strongly recommended in order to complete your program requirements. Please register for each semester as shown using the Student Planning tool in myCWI. Plans may be modified to fit the needs of part-time students by adding additional semesters. Consult your advisor for any questions regarding this course sequence plan.

Plan of Study Grid
First Year
SummerCredit Hours
BUSA 120 Business Software Applications 3
 Total Semester Credit Hours3
Fall
BUSA 201 Business Communication and Professionalism 3
BUSA 207 Introduction to Business Analytics 3
 Total Semester Credit Hours6
Spring
BUSA 208 Business Analytics 3
 Total Semester Credit Hours3
Second Year
Summer
BUSA 270 Big Data and Business Analytics 4
 Total Semester Credit Hours4
 Minimum Credit Hours Required16

Program Learning Outcomes

Upon successful completion of this program, students will be able to:

  • Formulate business questions that lead to business strategies or actions.
  • Describe the data in terms of the business context.
  • Perform data wrangling to prepare the data for subsequent analyses.
  • Develop predictive models to inform decision-making and select the best predictive model(s).
  • Evaluate model performance from a business perspective.
  • Communicate key findings through storytelling.
  • Connect with the business community.
  • Engage with community members in experiential learning opportunities through class assignments.
  • Connect with peers through case studies and group projects.
  • Create reports to include charts/graphs, analyses, interpretations, and recommendations.
  • Present findings in the form of an oral presentation.
  • Demonstrate effective use of relevant technology in the business analytics field.