Credits Min: 3
Credits Max: 3
Topics to be covered in this course include managing and leaning data, building and evaluating models, visualizing the results of data analyses, and drawing conclusions from the analytics. A series of accounting topics with data analytics application will be discussed, such as fraud and earnings management detection, and financial statement analyses. Students should leave this course with skills necessary to understand data and manage data, to translate accounting and business problems into actionable proposals, and to present data/results to managers and data scientists.
ACCT.5010 Financial Accounting with an earned C or better, or MSA Program, or MSB3 Student Group waiver, or MSB9 Student group waiver, or Spring 2020 grade of "P".
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