The Master of Science degree in Accounting and Data Analytics program is designed for students wishing to pursue an advanced degree in accounting. Prior background in accounting is not a prerequisite for admission. The program includes a set of foundational accounting courses to prepare students who possess no accounting background. The program will equip students with the technical accounting knowledge and data analysis skills that are in high demand in organizations in all sectors of the economy. The degree will prepare students for accounting careers within public accounting, corporations, government, and not-for-profit organizations. Courses taken in the program will count towards the education requirements of professional certifications such as the Certified Public Accountant and Certified Management Accountant. Students entering the program without a background in accounting or business may need additional course work to meet certification requirements. The program is available only online.
Admission
Students may start the program in any semester. Admission decisions are competitive and will be made on a rolling basis. The minimum requirement for consideration is a bachelor’s degree from a recognized institution with a recommended minimum grade-point-average of a 3.0. However, admission decisions are made holistically considering the applicant's full application including letters of recommendation, the applicant’s statement of objectives, work experience, and TOEFL and IELTS scores if relevant.
Requirements for the Master of Science Degree in Accounting and Data Analytics
Students must complete an approved program of study with a minimum cumulative grade point average of 3.0. A minimum of 30 credits under Plan B (without a thesis) is required. Students without a background in accounting must complete the foundational accounting courses which will count towards the credits required for the degree. The requirement to complete individual foundational courses may be waived at the discretion of the program director.
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| 1. |
All of the following courses (18 credits) unless waived by the program director. |
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Foundations of Accounting, Information Systems, and Data Analysis |
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ACC |
870 |
Principles of Financial and Managerial Accounting |
3 |
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ACC |
871 |
Accounting Database Systems |
3 |
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ACC |
872 |
Financial Reporting and Data Analysis |
3 |
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ACC |
873 |
Principles of Federal Income Tax Accounting |
3 |
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ACC |
874 |
Performance Measurement and Control Systems |
3 |
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ACC |
875 |
Auditing – Assurance and Data Analysis |
3 |
| 2. |
Complete at least one of the following concentrations: |
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Accounting Analytics (9 credits) |
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ACC |
827 |
Accounting Analytics |
3 |
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Two of the following courses (6 credits): |
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ACC |
814 |
Advanced Auditing |
3 |
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ACC |
822 |
Information Systems Project Management |
3 |
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ACC |
843 |
Value Chain Accounting and Analytics |
3 |
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Managerial Analysis for Decision Making (9 credits) |
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ACC |
807 |
Using Financial Statement Data for Decision Making- An Analytics Approach |
3 |
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ACC |
841 |
Corporate Sustainability Strategy Development and Implementation |
3 |
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ACC |
843 |
Value Chain Accounting and Analytics |
3 |
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Taxation (12 credits) |
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ACC |
830 |
Tax Research |
3 |
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ACC |
833 |
Federal Income Tax of Corporations and Shareholders |
3 |
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ACC |
836 |
U.S. Taxation of Multinational Transactions |
3 |
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ACC |
850 |
Accounting and Tax Implications of Mergers and Acquisitions |
3 |
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Transaction Services (12 credits) |
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ACC |
807 |
Using Financial Statement Data for Decision Making- An Analytics Approach |
3 |
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ACC |
850 |
Accounting and Tax Implications of Mergers and Acquisitions |
3 |
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ACC |
891 |
Special Topics in Accounting and Information Systems (Transaction Service Capstone) |
3 |
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FI |
845 |
Financial Modeling and Simulation I |
1.5 |
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FI |
846 |
Financial Modeling and Simulation II |
1.5 |
| 3. |
Choose electives from courses within the concentrations to meet the 30 credit minimum. |
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