This shift in accounting technology requires new accountants to also have stronger analytical skills in order to remain competitive in the accounting job market. By capitalising on big data, the role of accountants is moving beyond optimising the finance function to transforming the enterprise to sharpen competitive advantage. Specifically, the focus will not be on auditing and accounting standards and their current required procedures, but rather on what the profession can progressively achieve with data analytics. Accounting: Data Analytics & Systems, MS Requirements for Students Matriculating in or before Academic Year 2020-2021. At the end of the day, accounting data analysts work with financial information found in corporate data stores to produce reports, charts, and other visual interpretations of … This is the key finding in a joint report, Building a Team to Capitalize on the Promise of Big Data, released earlier this month by Robert Half and the Institute of Management … The Master of Science in Accounting Data & Analytics (MSADA) program requires completion of: a minimum of 30 units (18 units in the advanced program and 12 units of elective coursework or the completion of a concentration); completion of 6 units of proficiency coursework and 15 units of accounting foundation courses or an undergraduate degree in Accounting; with a cumulative grade … The profession now has the ability to access and process large amounts of business data, including unstructured data sources, coupled with innovative analytical software, that extend traditional methods of accounting analytics. Accounting analytics can also be used to determine corporate strategy, detect fraud, predict consumer behavior, manage risk, and more. iStock_Rawpixel Ltd_analyzing data. Last year, the IMA also revamped its Management Accounting Competency Framework to include more technology and analytics skills. "Over the years, I've leveraged data analytics tools for a variety of internal audit projects and continuous monitoring activities," said Joel White, CPA, CGMA, AICPA director—Internal Audit, Risk & Compliance. Unlike any other postgraduate analytics programme, the MSA’s data and analytics track goes deep into the application of data technology in the accounting domain. CPAs at other organizations also are developing data analytics capabilities to support their needs. The mass of information that can be collected via technology is overwhelming; without data analytics and data science, this information would mean nothing. Simply stated, data analytics are what you learn from an analysis of data or data sets, whether you “crunch the numbers” manually or use data analytics tools. Put simply, data analytics is analyzing data. The Master of Science in Accounting Data & Analytics (MSADA) program requires completion of: a minimum of 30 units (18 units in the advanced program and 12 units of elective coursework or the completion of a concentration); completion of 6 units of proficiency coursework and 15 units of accounting foundation courses or an undergraduate degree in Accounting; with a cumulative grade … Topics include advanced excel, data modeling, statistical sampling and cluster analysis, business intelligence, and XBRL generation and analysis. It’s the science of taking raw data and formulating it in a way that’s understandable, allowing conclusions to be drawn from the information. You will learn to use the software and cloud platforms in demand in the job market, such as Tableau, SAS, Microsoft Azure, … This article aims at introducing basic data analysis concepts to enable accounting professionals to understand how to navigate within this new environment. Now accountants are using big data technologies to monitor and... Financial Planning. Graduates of the Master of Science in Accounting Data & Analytics (MSADA) program will be able to: Identify accounting issues, research and effectively communicate the results orally and in writing. Developed in consultation with leading accounting firms, Lubin's Master's in Accounting Data Analytics is highly responsive to current market demands for accountants who are trained in accounting analytics, audit analytics, and data-driven decision making, and satisfies the New York State 150-credit requirement for CPA licensing. 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