Dr. Cassie Mongold

Assistant Professor

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Biography

Cassie Mongold is an Assistant Professor of Accountancy at the University of Illinois at Urbana-Champaign. She earned her Ph.D. in Accountancy from the McCombs School of Business at the University of Texas at Austin in 2022. Cassie's research focuses on the role of financial reporting in decision-making processes. Her academic background also includes a B.S. in Business Administration and an M.S. in Accountancy from the Michael F. Price College of Business at the University of Oklahoma, both obtained in 2013. Prior to her current position, she worked as an Auditor at Ernst Young from 2013 to 2017. Cassie is actively involved in research and has contributed to several forthcoming publications in notable journals, addressing topics such as experimental research standard-setting issues in financial reporting and the effect of intangible asset classification on professional financial statement users' assessments. She is dedicated to engaging students in her courses, which include Financial Reporting Standards, by emphasizing independent thinking and collaborative processes.

Research Interests

Experience

Assistant Professor

— Present

University of Illinois at Urbana-Champaign • Champaign, IL

Teaching and conducting research in Accountancy.

Auditor

— Present

Ernst Young • Oklahoma

Conducted audits and provided assurance services.

Courses

Financial Reporting Standards (ACCY 510)

Requirements for University of Illinois

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:7
Reading
Required:7
Writing
Required:7
Speaking
Required:7
Overall
Required:7.5
TOEFL
Listening
Required:17
Reading
Required:19
Writing
Required:21
Speaking
Required:20
Total
Required:103
GRE General
Prerequisites
Mathematical background Linear Algebra Calculus
Application Checklist
  • Online application
  • Unofficial transcripts
  • 3 Letters of Recommendation
  • Academic Statement of Purpose
  • Resume/CV
Specialization Notes

GRE is optional for admission to all graduate programs in Statistics. Full status admission requires higher language scores than limited status.