Decorative pattern

MS in Accounting Analytics

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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. 

#35

in Best Accounting Programs

U.S. News Best Graduate Programs, 2024-25

36

Months of OPT

Available to international students

2.7

Million

Job postings in Analytics in 2025

Exciting Curriculum

See this curriculum flowchart or the Bulletin for more information on courses.

Ready to learn more about MS in Accounting Analytics?

Attend an online information session

Speak with a recruiter

Tim Carter
(414) 288-7139
timothy.carter@marquette.edu

Contact program director

Dr. Q Ling, qianhua.ling@marquette.edu

 

This program has rolling admission, which means you may apply any time before the following dates:

Summer 2025 – May 5
Fall 2025 – August 14

International students should apply by the following deadlines due to the need to allow enough time to secure proper visa requirements.

Fall semester – May 1
Spring semester – October 1


The application requires the following:

  • A completed or nearly-completed bachelor's degree in accounting (or equivalent accounting course work which is typically 24 hours of U.S. GAAP based accounting courses – this includes 6 hours of Principles courses, Intermediate Accounting, Intermediate II (sometimes referred to as Advanced Accounting), Cost Accounting, Audit, one course in U.S. Taxation, and one course in Accounting Information Systems) from an accredited college or university.  Students without an accounting degree but have completed significant core accounting courses in US GAAP (typically 6-7) will also be considered.
  • A completed online application form and $50 fee, waived if you attend an online info session
  • Official transcripts from all current and previous colleges except Marquette1
  • Minimum 2.750 GPA
  • For applicants with a GPA below 3.000, official test scores from the Graduate Management Admission Test (GMAT) or Graduate Records Exam (GRE). See the GMAT/GRE policy.  Marquette's GMAT/GRE institution code is: 1448
  • Essay questions on the application form
  • Resume or job profile
  • Two letters of recommendation if applying for financial aid
  • Possible interview

Additional requirements for international students:

If admitted, final official transcript evaluations must be sent to the Marquette University Graduate School directly from the transcript evaluation service used for your course-by-course evaluation.

 

1 Upon admission, final official transcripts from all previously attended colleges/universities, with certified English translations if original language is not English, must be submitted to the Graduate School within the first five weeks of the term of admission or a hold preventing registration for future terms will be placed on the student’s record. 

See this page for more info

For a comprehensive listing of merit-based aid (graduate assistantships/fellowships), visit the financial aid webpage. Private scholarships may also be available. U.S. citizens and permanent residents may be eligible to apply for need-based federal aid (loans) to help fund their educational expenses as well.

As part of the assurance of learning, each program defines and collects data on learning outcomes; statements of the knowledge, skills and attitudes that we want our graduates to possess. We use them for continuous improvement and they are the criteria on which organizations such as AACSB evaluate our accreditation.

The following are the current learning outcomes for the Master of Science in Accounting Analytics, as well as the MSAA Certificate.

  1. Apply critical thinking to accounting issues and solve applied/analytical business problems
  2. Demonstrate effective analytical communication skills
  3. Demonstrate competency in the preparation of accounting data for analysis
  4. Apply ethical reasoning to accounting/business/data issues
  5. Demonstrate competency in utilization of accounting analytic tools

 

For each goal the following are the measurable learning outcomes that are assessed on a regular cycle for assurance of learning.

For the goal --- Apply critical thinking to accounting issues and solve applied/analytical business problems:

  1. Identify business problems appropriate for accounting analytics
  2. Identify the critical elements of the accounting problem/issue
  3. Analyze the data/information of the accounting problem/issue
  4. Derive relevant conclusions about the accounting problem/issue

For the goal --- Demonstrate effective analytical communication skills

  1. Organize the correct information for an accounting/business report
  2. Develop the  appropriate content for  an accounting/business report
  3. Use appropriate writing mechanics
  4. Use visualization skills to communicate results of data analyses

For the goal --- Demonstrate competency in the preparation of accounting data for analysis:

  1. Develop the ability to extract, transform, and load (ETL) data to get it ready for analysis
  2. Utilize software to clean and format data to get it ready for analysis

For the goal --- Apply ethical reasoning to accounting/business/data issues:

  1. Demonstrate awareness of ethical issues surrounding fraud examination and forensic analytics
  2. Critically apply ethical reasoning to an accounting/business situation
  3. Choose an appropriate course of action based on ethical standards
  4. Evaluate multiple stakeholders perspective in the accounting/business situation
  5. Demonstrate correct steps in ethically preserving data

For the goal --- Demonstrate competency in utilization of accounting analytic tools:

  1. Identify tools appropriate for business problems
  2. Utilize various techniques to build models related to accounting problems