Rutgers University 3 credits Accounting
This course links the technical work of data engineering with the professional judgment needed for strategic decision-making. Using the IMPACT framework, students will translate technical software outputs into the meaning behind the results, connecting data extraction, cleaning, and transformation to real-world behavioral outcomes, whether uncovering complex patterns of fraud or identifying critical trends in managerial and financial reporting. The curriculum emphasizes the development of the technical vocabulary and analytical knowledge required to manage the data science function effectively. Through substantial hands-on labs and a culminating forensic or financial project, students will transform complex datasets into clear, purposeful insights that facilitate high-level professional decision-making. Designed for those with a foundational competency in accounting principles, this course prepares students to be intelligent consumers and leaders of accounting analytics. Prerequisites: 53:010:505 and 507. Prerequisite waived if a student has an undergraduate degree in accounting or equivalent undergraduate course credit. Contact graduate advising.
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