Master the skills needed for today’s accounting analytics challenges.
The Master of Science in Business Analytics and Artificial Intelligence Cohort program (Accounting Analytics track) is a 36 semester-credit-hour STEM (Science, Technology, Engineering and Math) degree program at the Naveen Jindal School of Management.
It is designed for students to gain knowledge and pursue opportunities in accounting analytics. This program allows students to develop their skills in business analytics with a focus on the accounting profession’s need for analytics experts.
Highlights of the Program
- Courses taught by world-class instructors
- Predetermined course sequence coordinated with the MS in Accounting and Analytics Cohort
- Dedicated student services and advising support for MS BA Cohort students
- Many courses are offered in the evenings or online for maximum flexibility
- Courses selected to emphasize skills needed for today’s accounting analytics challenges in analyzing and managing large datasets to inform real-world problem-solving and decision-making
Accounting Analytics Track Curriculum
The internship course has a flexible credit hour and will be tailored to each student’s needs. An internship is required and may be taken after completing 18 credit hours. The internship course may be completed in one semester or can be spread over multiple semesters, with zero or one credit hour each.
Students in the Master of Science in Business Analytics and Artificial Intelligence Cohort program Accounting Analytics Track will complete the core course requirements for the degree.
Core Courses – MS in Business Analytics and Artificial Intelligence Cohort
- BUAN 6312 Applied Econometrics and Time Series Analysis
- ACCT 6321 Database Applications for Business Analytics OR BUAN 6320 Database Foundations for Business Analytics
- BUAN 6337 Predictive Analytics for Data Science
- BUAN 6324 Business Analytics With SAS or BUAN 6356 Business Analytics With R
- BUAN 6398 Prescriptive Analytics
- BUAN 6359 Advanced Statistics for Data Science
* Note: All MBA/MS Analytics students should take BUAN 6359 in lieu of OPRE 6301, as credit cannot be given for both. They also will complete elective courses focusing on the Accounting Analytics Track.
Elective Courses – Accounting Analytics Track
- BUAN 6009 Business Analytics Internship OR BUAN 6V98 Business Analytics Internship (Required)
- ACCT 6301 Financial Accounting OR ACCT 6330 Intermediate Financial Accounting I
- ACCT 6335 Ethics for Professional Accountants
- ACCT 6343 Accounting Information Systems
- ACCT 6334 Auditing
- BUAN 6385 Robotic Process Automation
- ACCT 6374 Advanced Data Analytics for Accountants and Auditors
- ACCT 6392 Advanced Auditing
Academic Calendar Timeframes
Courses are taught year-round to accommodate cohort students. Students may begin in any semester.
- Fall: Late August to mid-December
- Spring: Mid-January to mid-May
- Summer: Mid-May to mid-August
The sequence of the courses is subject to change. The scheduling of the Accounting electives will be consistent with the offerings of the MS Accounting and Analytics Cohort program.
Accounting Analytics Track Degree Plan – Master’s in Business Analytics and Artificial Intelligence Cohort
(Chronologically from Left to Right)
Typical Course Schedule – First Year
Accounting Analytics Cohort students follow elective offerings for the double degree (MS Business Analytics and Artificial Intelligence Cohort and MS Accounting and Analytics Cohort) program. Double degree (MS Business Analytics and Artificial Intelligence Cohort and MS Accounting and Analytics Cohort) course schedules are available on the Master’s in Accounting Cohort Curriculum page.
Typical Course Schedule – Second Year
Semester 4
Ready to start your Master’s in Business Analytics and Artificial Intelligence Cohort application?
Before you apply, get familiar with the application process for Master’s in Business Analytics and Artificial Intelligence Cohort program at UT Dallas.
Application Process