Applicants apply for admission to the program via the Graduate School application for admission. Requirements listed here are in addition to Graduate Council policies listed under GCAC-300 Admissions Policies. International applicants may be required to satisfy an English proficiency requirement; see GCAC-305 Admission Requirements for International Students for more information.
Applicants are generally expected to have a minimum combined junior/senior grade-point average of 3.0 (B) on a 4.0 scale.
- Vita or Résumé — Submit a one- to two-page listing of your professional experience and education.
- Statement of Purpose — Describe how your professional experience and goals align with the Certificate in Accounting Foundations. Please do not exceed 500 words.
GRE or GMAT test scores are NOT required.
Requirements listed here are in addition to requirements listed in Graduate Council policy GCAC-212 Postbaccalaureate Credit Certificate Programs.
|MBADM 811||Financial Accounting||3|
|ACCTG 814||Managerial Accounting||3|
Graduate courses carry numbers from 500 to 699 and 800 to 899. Advanced undergraduate courses numbered between 400 and 499 may be used to meet some graduate degree requirements when taken by graduate students. Courses below the 400 level may not. A graduate student may register for or audit these courses in order to make up deficiencies or to fill in gaps in previous education but not to meet requirements for an advanced degree.
- –The ability to formulate and articulate business ideas individually and collaboratively via print, presentations, and interpersonal interactions. Students will demonstrate effective oral, written and interpersonal communication skills while using technology appropriately in a professional business presentation. Skills
- Problem Solving/Critical Thinking –The ability to demonstrate problem solving skills using analytical techniques, and adequately address open-ended/unstructured problems with no single correct solution.
- Data Summarization and Analysis —Select and deploy appropriate data analysis schemes to arrive at reasoned recommendations.