Dr. Erik Beardsley

Assistant Professor

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Biography

Erik Beardsley is an Assistant Professor of Accountancy at the University of Illinois at Urbana-Champaign, where he has been since 2022. He previously served as an Assistant Professor at the University of Notre Dame from 2016 to 2022. His research interests lie primarily in the fields of taxation, the intersection of tax and financial reporting, and the effects of non-audit services on audit quality. He has published several articles in leading academic journals, including the Journal of Accounting, Auditing & Finance and Contemporary Accounting Research, where he explores themes such as earnings management and audit office diversity. Beardsley has been recognized for his contributions to teaching, having received the Teachers Ranked Excellent by Students award from the University of Illinois several times between 2022 and 2024, along with the Outstanding Reviewer recognition from the Contemporary Accounting Research journal in 2022. He is active in the academic community through various research endeavors and courses, including Advanced Income Tax Problems, aimed at enhancing students' technical tax knowledge and data analysis skills.

Research Interests

Experience

Assistant Professor

— Present

University of Illinois at Urbana-Champaign • Champaign, IL

Teaching and researching in the field of accountancy.

Assistant Professor

— Present

University of Notre Dame • Notre Dame, IN

Engaged in teaching and academic research.

Awards

#

Teachers Ranked Excellent by Students

#

Outstanding Reviewer

Courses

Advanced Income Tax Problems (ACCY 451)

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.