30-36 total credits required
The University of New Haven’s online Master of Science in Accounting program features concentration in accounting analytics (STEM). This concentration option provides specialized knowledge in sought-after skill areas.
Our online accounting courses are taught by a faculty of experienced accounting professionals who are dedicated to your success. The hands-on curriculum is delivered in a flexible, accelerated format designed for working adults with busy schedules.
This program consists of 30-36 credit hours of advanced accounting coursework, combining a core of essential skill development with in-depth training in your chosen concentration. Depending on your previous education, some courses can be waived or substituted to accelerate your degree. Online accounting courses are seven weeks in duration and most students complete the program in 12 to 18 months.
Prerequisite: ACCT 6619 or ACCT 6620. A selective examination of corporate financial accounting topics including revenue recognition and income determination, structure of financial position and cash flow statements, issues related to current assets, long term assets, liabilities and shareholders; equities. This course will be substituted with an accounting elective if at least two intermediate accounting courses are taken in an undergraduate accounting program in the U.S. or Canada.
Prerequisite: ACCT 6630 or six hours of intermediate accounting. Theoretical aspects of accepted accounting principles and their significance as a frame of reference for the valuation of accounting practices. Major focus on the role of regulatory agencies and professional accounting organizations with regard to their influences on accounting theory and practice.
An analysis of the contemporary problems surrounding the attest function performed by the professional independent auditor.
Accounting Analytics (STEM) Concentration Courses
Prerequisite or co-requisite: BANL 6100. This course is designed to provide business students with the skills to conduct data mining and statistical analysis for dealing with common managerial-making tasks, such as prediction, classification, and clustering. Data mining is a rapidly growing field that is concerned with developing techniques to assist analysts to make intelligent use of large data sets. In this course, the emphasis is on understanding the application of a wide range of modern techniques to specific managerial situations, rather than on mastering the mathematical and computational foundations of the techniques. Upon successful completion of the course, students should possess valuable analytical skills that will give them a competitive edge in many industry sectors, in a wide range of managerial and analytical positions.
Pre-requisite, Co-requisite – None
In this course, students will develop skills required for an accounting analytics mindset. Students will apply the concepts of data preparation, descriptive and predictive analysis, data manipulation, data visualization, data reporting and problem-solving using various analytic tools to accounting analysis.
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