Course Descriptions

The Course Descriptions catalog describes all undergraduate and graduate courses offered by Michigan State University. The searches below only return course versions Fall 2000 and forward. Please refer to the Archived Course Descriptions for additional information.

Course Numbers Policy

Course Descriptions: Search Results

ACC 827 Accounting Analytics

Semester:
Fall of every year, Spring of every year
Credits:
Total Credits: Credits: 3   Lecture/Recitation/Discussion Hours:3
Prerequisite:
ACC 321 or ACC 821
Restrictions:
Open to master's students in the Accounting Major.
Description:
Develop an accounting analytics mindset. Determine and apply appropriate data analytic techniques based upon the accounting environment and situation. Use data visualization, predictive analytics and other analytics software as appropriate.
Effective Dates:
FS17 - FS20

ACC 827 Accounting Analytics

Semester:
Fall of every year, Spring of every year
Credits:
Total Credits: Credits: 3   Lecture/Recitation/Discussion Hours:3
Prerequisite:
(ACC 321 or ACC 821) and ACC 411
Restrictions:
Open to master's students in the Accounting Major.
Description:
Develop an accounting analytics mindset. Determine and apply appropriate data analytic techniques based upon the accounting environment and situation. Use data visualization, predictive analytics and other analytics software as appropriate.
Interdepartmental With:
Information Technology Management
Administered By:
Accounting
Effective Dates:
SS21 - SS22

ACC 827 Accounting Analytics

Semester:
Fall of every year, Spring of every year, Summer of every year
Credits:
Total Credits: Credits: 3   Lecture/Recitation/Discussion Hours:3
Prerequisite:
(ACC 321 or ACC 821) and ACC 411
Restrictions:
Open to master's students in the Accounting Major or approval of department.
Description:
Data visualization, predictive analytics, time series analysis, machine learning, supervised and unsupervised learning, association analysis, and other analytics techniques as appropriate to accounting environment and situation.
Interdepartmental With:
Information Technology Management
Administered By:
Accounting
Effective Dates:
US22 - US26

ACC 827 Accounting Analytics and Artificial Intelligence

Semester:
Fall of every year, Spring of every year, Summer of every year
Credits:
Total Credits: Credits: 3   Lecture/Recitation/Discussion Hours:3
Restrictions:
Open to master's students in the Eli Broad College of Business and The Eli Broad Graduate School of Management or in the Department of Accounting and Information Systems or in the Accounting and Data Analytics Major or approval of department.
Description:
Data visualization, predictive analytics, time series analysis, machine learning, supervised and unsupervised learning, association analysis, artificial intelligence tools, and other analytics tools and techniques as appropriate to accounting environment and situation.
Interdepartmental With:
Information Technology Management
Administered By:
Accounting
Effective Dates:
FS26 - Open

ITM 827 Accounting Analytics and Artificial Intelligence

Semester:
Fall of every year, Spring of every year, Summer of every year
Credits:
Total Credits: Credits: 3   Lecture/Recitation/Discussion Hours:3
Restrictions:
Open to master's students in the Eli Broad College of Business and The Eli Broad Graduate School of Management or in the Department of Accounting and Information Systems or in the Accounting and Data Analytics Major or approval of department.
Description:
Data visualization, predictive analytics, time series analysis, machine learning, supervised and unsupervised learning, association analysis, artificial intelligence tools, and other analytics tools and techniques as appropriate to accounting environment and situation.
Interdepartmental With:
Accounting
Administered By:
Accounting
Effective Dates:
FS26 - Open

ITM 827 Accounting Analytics

Semester:
Fall of every year, Spring of every year, Summer of every year
Credits:
Total Credits: Credits: 3   Lecture/Recitation/Discussion Hours:3
Prerequisite:
(ACC 321 or ACC 821) and ACC 411
Restrictions:
Open to master's students in the Accounting Major or approval of department.
Description:
Data visualization, predictive analytics, time series analysis, machine learning, supervised and unsupervised learning, association analysis, and other analytics techniques as appropriate to accounting environment and situation.
Interdepartmental With:
Accounting
Administered By:
Accounting
Effective Dates:
US22 - US26

ITM 827 Accounting Analytics

Semester:
Fall of every year, Spring of every year
Credits:
Total Credits: Credits: 3   Lecture/Recitation/Discussion Hours:3
Prerequisite:
(ACC 321 or ACC 821) and ACC 411
Restrictions:
Open to master's students in the Accounting Major.
Description:
Develop an accounting analytics mindset. Determine and apply appropriate data analytic techniques based upon the accounting environment and situation. Use data visualization, predictive analytics and other analytics software as appropriate.
Interdepartmental With:
Accounting
Administered By:
Accounting
Effective Dates:
SS21 - SS22