ACCT5122: Auditing Principles and Procedures II

2 Credits

This course leverages the audit concepts discussed in ACCT 5121W and introduces various ways that data analytics and process automation can be incorporated into a traditional audit plan. Accounting firms are increasingly expecting entry level hires to possess a basic understanding of advanced data analytics tools and an ability to apply data concepts to an audit to improve both audit efficiency and quality. The course will help students identify audit risks related to financial statement balances, perform audit testing using analytical procedures, and interpret results of data-driven procedures to demonstrate audit concepts. In this class you will work extensively with Microsoft Excel, Alteryx, and UiPath. The usage of these tools, as well as an understanding of data fundamentals will aid you in upper-level classes and ultimately improve your technology skills and career prospects. prereq: ACCT 5121 (can be concurrent)

View on University Catalog

All Instructors

A- Average (3.717)Most Common: A (58%)

This total also includes data from semesters with unknown instructors.

127 students
FDCBA
  • 4.96

    /6

    Recommend
  • 5.18

    /6

    Effort
  • 5.06

    /6

    Understanding
  • 4.86

    /6

    Interesting
  • 5.21

    /6

    Activities


      Contribute on our Github

      Gopher Grades is maintained by Social Coding with data from Summer 2017 to Summer 2025 provided by the University in response to a public records request

      Not affiliated with the University of Minnesota

      Privacy Policy