MS in Accounting Analytics
The MS in Accounting Analytics degree offers an enhanced focus on the technology skills and business analytics software vital for today's data-rich environment. Meanwhile, the program is still grounded in the accounting, auditing, and financial reporting background necessary to sit for the CPA Exam.
Our MS in Accounting Analytics is a STEM-designated program, which means international students are eligible to apply for 36 months of Optional Practical Training, allowing employers to potentially hire international students for up to three years instead of only one.
Accountants with analytics expertise are prepared to work with the wealth of available financial data to inform and guide business decisions. These professionals are also uniquely prepared to engage in fraud detection and auditing using machine learning and data mining techniques when complex, computer-driven financials are the norm.
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Required Accounting Core
ACCO 6001 – Accounting Professional Communication (1 credit)
Waived if completed at their undergraduate institution
An introduction to specific communication skills currently desired in the accounting profession, including business writing, presentation skills, active listening, giving/receiving feedback, team dynamics, and proposing persuasive recommendations for improvement.
ACCO 6511 Taxation – Corporations, Partnerships
Partnership and corporation income tax laws studied for proper treatment of various types of income, deductions, the consequences of ownership interests and the application of various tax rates to taxable situations.
ACCO 4060/5060 Accounting Analytics
An overview of how to use data to formulate and solve business and accounting problems. Topics include data cleaning, data visualization, regression analysis, and basic programming skills. Substantial application of analytic techniques in accounting, including those in financial, managerial, audit, and tax.
ACCO 6520 Advanced Corporate Issues
Study of business combinations (mergers, consolidations, and acquisitions of net assets of common stock). Construction of consolidated financial statements, including analysis of inter-company transactions. Introduction of international accounting issues. Basic accounting for not-for-profit organizations
ACCO 6535 Fraud Examination and Analytics
An analysis of how and why fraud is committed, how fraud can be deterred, and how data analytics and behavioral science combine to investigate fraud and reach a resolution. Basic forensic techniques and data analytics tools will be used to discover patterns, anomalies, trends, and outliers. Students will develop an increased awareness of fraud and the circumstances in which it arises. Students will learn techniques for detecting and preventing fraud. Students will measure, collect, analyze, and investigate fraud data, reporting their findings
Required Business Analytics Core
MBA 6100 Business Analytics or COSC 6520 Business Analytics
Provides a structured and effective way of tackling a wide range of managerial problems using analytics. Introduces students to basic concepts in business analytics and several quantitative techniques that are important for the practical analysis of a broad range of business problems and widely accepted by the practitioners. These techniques provide a framework to support managerial decision making. Lectures cover the topics in sufficient details to make one feel comfortable in their use. Also stresses the importance of critical thinking skills to make sound managerial decisions, to apply ethical reasoning to business situations and to communicate effectively in business settings.
COSC 6510 Business Intelligence
Foundational topics in business intelligence. Includes properties and benefits for business intelligence and methodology for the development of business intelligence solutions. Examines technology employed for managing data and creating visualizations and dashboards. Topics include developing a business case, evaluating performance and managing data. Presents overview of data architectures commonly used in business intelligence solutions and includes exercises using common techniques for prediction and time series analysis.
COSC 5820/6931 Ethical and Social Implications of Big Data
An introduction to the ethical and social consequences of collecting, curating and analyzing data in academia, public and private contexts. A socio-technical stance is taken in unpacking issues of algorithmic biases, fairness, transparency and accountability.
Focuses on the major processes, frameworks and relational mechanisms within the corporate structure that ensure the effective, efficient and protected use of information systems and technologies, investments in IS, assets, systems, processes and human capital resources. Reviews structures around how organizations align IS strategy with business strategy to ensure that companies stay on track to achieve their strategies and goals and implement solid and repeatable methods to deliver, support and measure an IS organization’s performance. Generally viewed as a Board of Director’s or executive level responsibility, information systems governance is best deployed as part of the IS practice and culture
- 6 credits of accounting electives required