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Graduate Degree
Accounting and Data Analytics - Master of Science
Program:
Accounting and Data Analytics - Master of Science
Plan Code:
ACCDATA_MS
Program Level:
Graduate
Award Type:
Master of Science
College:
Eli Broad College of Business
Department:
Accounting and Information Systems
Excerpt from the official Academic Programs Catalog:
Listed below are the approved requirements for the program from the official Academic Programs Catalog.
Students must consult their advisors to learn which specific requirements apply to their degree programs.
The Eli Broad College of Business and The Eli Broad Graduate School of Management
Department of Accounting and Information Systems
Graduate Study
Accounting and Data Analytics - Master of Science
View this text within the context of the catalog.
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.
1.
All of the following courses (18 credits) unless waived by the program director.
Foundations of Accounting, Information Systems, and Data Analysis
ACC
870
Principles of Financial and Managerial Accounting
3
ACC
871
Accounting Database Systems
3
ACC
872
Financial Reporting and Data Analysis
3
ACC
873
Principles of Federal Income Tax Accounting
3
ACC
874
Performance Measurement and Control Systems
3
ACC
875
Auditing – Assurance and Data Analysis
3
2.
Complete at least one of the following concentrations:
Accounting Analytics
(9 credits)
ACC
827
Accounting Analytics
3
Two of the following courses (6 credits):
ACC
814
Advanced Auditing
3
ACC
822
Information Systems Project Management
3
ACC
843
Value Chain Accounting and Analytics
3
Managerial Analysis for Decision Making
(9 credits)
ACC
807
Using Financial Statement Data for Decision Making- An Analytics Approach
3
ACC
841
Corporate Sustainability Strategy Development and Implementation
3
ACC
843
Value Chain Accounting and Analytics
3
Taxation
(12 credits)
ACC
830
Tax Research
3
ACC
833
Federal Income Tax of Corporations and Shareholders
3
ACC
836
U.S. Taxation of Multinational Transactions
3
ACC
850
Accounting and Tax Implications of Mergers and Acquisitions
3
Transaction Services
(12 credits)
ACC
807
Using Financial Statement Data for Decision Making- An Analytics Approach
3
ACC
850
Accounting and Tax Implications of Mergers and Acquisitions
3
ACC
891
Special Topics in Accounting and Information Systems (Transaction Service Capstone)
3
FI
845
Financial Modeling and Simulation I
1.5
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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