ACC 4190 - Accounting Data Analytics

4 unit(s)

To synthesize theory and application to prepare students for the dynamics of real-world professional accounting practice: diagnosing problems and issues, analyzing relevant information, making decisions, and reporting decision results and recommendations. To focus on analytical techniques and provides hands-on experience to develop skills with select business analysis technologies.

Prerequisites: Change from:

ACC 4160, ACC 4120 (may be taken concurrently) and ACC 4140 (may be taken concurrently)

to new prerequisites:

ACC 3110 and CIS 3700

Hours: (Lecture, 3 hours; laboratory, 1 hour)

Course Learning Outcomes List
Students will be able to:

Identify the six elements of the critical thinking framework (SPARKS) (PLO #1);
Discuss the three stages (Plan, Analyze, Report) of the data analysis process model (PLO #1);
Apply sustainable, documented, and defendable data analysis processes (PLO #1);
Prepare, interpret, and communicate data analysis results in five accounting areas: accounting information systems, auditing, financial, managerial, and tax accounting (PLO #1);
Apply a pattern-based approach to profiling, cleaning, and transforming data, calculating information for analytical purposes, and exploring key data relationships (PLO #1);
Use the software tools to create data analytics solutions for accounting problems (PLO #1); and,
Create data visualizations and tell a compelling story with data (PLO #2).

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