This course builds upon the content covered in Exploring Data Analytics for Accounting Professionals, by continuing to develop the skill set and approaches needed to be an analytically-minded accounting professional. Students will learn how to assess and communicate business problems, to evaluate and analyze data and to develop and effectively present data-driven recommendations.

This course provides an introduction to programming with a focus on business and analytics applications. The curriculum supports the development of skills in data extraction and manipulation as well as automating data analysis tasks. Students will become adept in the use of important libraries and will be able to use trusted open-source resources to support continued development of programming skills. No prior programming experience expected.

This course provides an introduction to programming with a focus on business and analytics applications. The curriculum supports the development of skills in data extraction and manipulation as well as automating data analysis tasks. Students will become adept in the use of important libraries and will be able to use trusted open-source resources to support continued development of programming skills. No prior programming experience expected.

This course helps you develop a basic understanding of auditing theory and practice by introducing you to the objectives of auditing and the decision-making process used by auditors to accomplish those objectives. The basic financial statement audit process is discussed including the concepts of evidence, materiality, and risk.

Federal income tax law; emphasis on individual and business topics. Topics include determination of income, exemptions, deductions, credits and the taxation of business entities. Problems and tax cases involving the use of tax forms.

Cost management information is needed to plan, direct, and control business operations. Topics include determining costs of products and services with various costing systems, cost-volume profit analysis, budgeting, and variance analysis, with a focus on using the information to implement strategy.

This is an introductory course in analytics tailored for accounting professionals. Through hands-on work, students learn to ask the right business questions, extract and transform relevant data from an enterprise system, evaluate the integrity of the data, detect patterns and anomalies, apply data analytic techniques, and interpret and present results in order to make data-driven decisions.

This course assumes you have completed SCH-MGMT 604A. It includes coverage of the following topics: usage of property-plant and equipment and intangibles, investments, liabilities, equity, accounting changes, and the statement of cash flows.

The role of accounting and governance of the accounting profession; accrual accounting and the accounting cycle; financial statement presentation, revenue recognition; comprehensive income, asset recognition and measurement, and, associated disclosure requirements.

This course provides an introduction to Business Intelligence, including the processes, methodologies, infrastructure, and current practices used to transform business data into useful information and support business decision-making. Business Intelligence requires foundation knowledge in data storage and retrieval, thus this course will review logical data models for both database management systems and data warehouses. Students will learn to extract and manipulate data from these systems and assess security-related issues. Data mining, visualization, and statistical analysis along with reporting options such as management dashboards and balanced scorecards will be covered.