Accounting analytics develops new insights and understanding of financial and non-financial performance by examination of large data sets pertaining to past financial and non-financial information and events. This course is intended to provide students with an understanding of data analytic thinking and terminology as well as hands-on experience with data analytics tools and techniques. Students should leave this course with the skills necessary to translate accounting and business problems into actionable proposals that they can competently present to managers and data scientists.
P: ACCTG 301 with at least a BC grade; BUSAN 220 or MATH 260 or PSYCH 205; and an overall minimum GPA of 2.5
Fall Only.