Data Analytics, process of transforming input data into useful information through proper analytic tools, is relevant to all business professionals.This process enhances the decision makers’ ability to use data effectively, in order to better understand the cases that they are dealing with, and to provide better, consistent, and to the point decision models to solve a wide range of business problems. This course is designed to introduce necessary tools and techniques to improve students’ applied data analytics skills in the area of forensic accounting so that they will have the required knowledge and expertise to put an auditing mechanism in place to detect fraud, problems, or anomalies in accounting data. Students will learn both theoretical and practical sides of analyzing large data sets.
Exam info and full course description can be found in the course catalogue.
Course specific:
To apply for the course you must either be enrolled in a bachelor's degree, have a bachelor's degree or have passed a qualifying entry examination.
Furthermore, students must have knowledge within financial accounting and quantitative methods.
General:
Exchange Students: nomination from your home university
Freemovers: documentation for English Language proficiency
You can read more about the admission here.
Mustafa Canbolat is a professor at Suny Brockport University. He holds a PhD in Management Science/Systems from McMaster Unversity in 2010 and was in 2021 the winner of SUNY Brockport Presidential Teaching Excellence Award.
