The Master of Science in Accounting and Data Analytics program is an online master's degree designed for students wishing to develop an advanced skillset in accounting.
Prior background in accounting is not a prerequisite for admission. The online Master of Science in Accounting and Data Analytics program includes a set of foundational courses to prepare students who possess no accounting background, and all students will take specialized accounting and analytics courses. The program will equip students with the technical accounting knowledge and data analysis skills, as well as artificial intelligence (AI) tools, that are in high demand across all sectors of the economy.
This degree will prepare students for 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 Certified Public Accountant (CPA) and Certified Management Accountant (CMA). There are no prerequisites for admission, but students entering the program without a background in accounting or business may need additional coursework to meet external certification requirements.
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 the following course (3 credits): |
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ACC |
827 |
Accounting Analytics |
3 |
| 3. |
Complete at least one of the following concentrations: |
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Accounting Analytics (9 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 (9 credits) |
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ACC |
833 |
Federal Income Tax of Corporations and Shareholders |
3 |
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Two of the following courses: |
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ACC |
830 |
Tax Research |
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 (9 credits) |
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ACC |
855 |
Transaction Services |
3 |
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Two of the following courses: |
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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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FI |
845 |
Financial Modeling and Simulation I |
3 |
| 4. |
Choose electives from courses within the concentrations to meet the 30 credit minimum. |
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