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91ɬ

Happy businessman sitting outside working on laptop.

Graduate Certificate in Accounting Data and Analytics

Program at a Glance

Program

Accounting Data and Analytics

Format

Hybrid, Online

Total Units

12

Fall ’26 Early Application Deadline

Calendar with a star.

July 5

$1,090

Per Unit

Program Overview

Admission Requirements
Curriculum
Learning Outcomes

The Graduate Certificate in Accounting Data & Analytics is designed to prepare students in identifying how technologies are used in the accounting profession to automate business processes 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.

Admission Requirements

For details about admission requirements, please check the Admissions page.

Curriculum

All courses must be completed at 91ɬ with a cumulative grade-point average (GPA) of 3.00 (“B” average) or better in courses taken at 91ɬ that are applicable to the program requirements.

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 91ɬ.

ACCTG 300

Accounting Research and Communication – 3 unit(s)

ACCTG 336

Introduction to Data Analytics for Accountants – 3 unit(s)

ACCTG 339

Automation and Innovative Technologies – 3 unit(s)

ACCTG 351C

Analysis of Financial Information for Accountants – 3 unit(s)

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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Request Information

Request Information

Note: please check  to determine if youe eligible to study at 91ɬ.
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