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    May 25, 2024  
Draft 2024-2025 Catalog 
Draft 2024-2025 Catalog

Accounting Data & Analytics Graduate Certificate

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Program Information

The Graduate Certificate in Accounting Data & Analytics is prepares students to understand technologies used in the accounting profession, automate business processes, and to create and improve organizational efficiencies. The courses in this certificate will cover a variety of topics including using programming to manipulate data, robotic process automation, cloud-based computing, machine learning, and artificial intelligence. Additionally, students will use research techniques to validate data and work with visualization tools to communicate findings.

See Certificate Program Admission Policies  for admission requirements.

All courses must be completed at Golden Gate University with a cumulative grade-point average (GPA) of 3.00 (“B” average) or better in courses taken at Golden Gate University that are applicable to the program’s requirements. See Graduate Student Academic Standing Standards  for more information.

Course prerequisites are indicated in the course description for each course and must be satisfied prior to enrolling in a given course. Prerequisites may be satisfied through transfer of equivalent coursework from external institutions or by taking the courses at GGU.

Student Learning Outcomes

Students who successfully complete this certificate program will be able to:

  • Apply accounting information to create reports and analyze financial data for use in a business setting.
  • Utilize accounting tools and technologies to evaluate financial information and data and to create strategies to solve problems.
  • Communicate data trends and outliers using a variety of approaches and tools such as Excel and Tableau to help end users make effective decisions.
  • Select and apply a combination of analytical tools to access databases or data sets for tax and accounting applications.
  • Communicate and assess how robotic process automation, cloud-based computing, machine learning, artificial intelligence and other tools are used to improve organizational efficiencies and managerial decision-making.
  • Use and apply accounting standards and research findings to transaction fact patterns, and evaluate and communicate those results in a concise and logical manner.

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