Student Learning Outcomes

Master of Science in Professional Accountancy (MS/PAccy)

The MS/PAccy is an innovative program designed to assist accounting graduates in completing the additional 30-credit hours in graduate courses. It addresses the requirement by accounting firms that are requiring entering accounting professionals to have either completed the 150-credit requirement or have completed a substantial portion with a plan in place to complete the remaining requirement.

MS/PAccy Goals

• Students will be able to communicate through written and oral presentations effectively.
• Students will be able to identify research, analyze and solve problems in a changing global environment. Students will be able to identify, analyze and respond to ethical dilemmas.
• Students will be prepared to operate effectively in an accounting career.
• Students will be able to apply data analytics to accounting and auditing.

MS/PAccy Objectives

• Effective Communications: Students will
  • (1) prepare clear and well written documents;
  • (2) speak effectively on an accounting or specialized topic (e.g., data analytics, fraud or information technology) and
  • (3) collaborate with others so solve accounting related issues.
• Knowledge of Authoritative Literature: Students will
  • (1) have the capacity to identify and diagnose accounting, auditing and tax issues using various national and international accounting standards and U.S. tax federal income law;
  • (2) explore the impact of changing business conditions on accounting practices; and
  • (3) be able to utilize on-line technologies to research accounting or tax issues.
• Ethical Responsibilities: Students will be able to recognize and evaluate alternative courses of action to address ethical dilemmas.
• Skills: Students will
  • (1) demonstrate accounting and taxation skills in a work environment and
  • (2) complete and document an area (s) of specific learning and application of accounting, auditing or taxation concepts and practical application thereof.
• Data Analytics: Students will
  • (1) apply data analytics in accounting that encompass the extensive use of database, statistical and quantitative analysis, and descriptive and predictive models to drive decisions and actions in accounting and auditing and
  • (2) develop an analytics mindset and data-driven decision skills with an emphasis on hands-on problem-solving capabilities.