What courses earn college credit?

The Institute for Statistics Education offers 29 courses that are eligible for college credit through ACE CREDIT® (the American Council on Education’s College Credit Recommendation Service).

The ACE CREDIT College and University Network is a group of more than 2,200 higher education institutions that consider ACE credit recommendations for transfer to degree programs.

The following courses are eligible for college credit recommendation: 

Course

Methods of Assessment      

Credit Assessment

Introductory Statistics for Credit
8 weeks

The methods of assessment are quizzes, weekly homework assignments and a final examination, with a minimum passing score of 70 percent.

In the lower-division baccalaureate/ associate degree category, 3 semester hours in statistics.

Biostatistics for Credit
8 weeks.

The methods of assessment are quizzes, weekly homework assignments and a final examination with a minimum passing score of 70 percent.

In the upper-division baccalaureate degree category, 3 semester hours in biostatistics.

Anomaly Detection

The methods of assessment include quizzes, case studies, and a final project, with a minimum passing score of 70 percent. In the upper-division baccalaureate degree category, 3 semester hours in computer science, machine learning or artificial intelligence.

Categorical Data Analysis

The methods of assessment are quizzes, case studies and weekly homework assignments with a minimum passing score of 70 percent.

In the upper division baccalaureate degree category, 3 semester hours in statistics.

Cluster Analysis

The methods of assessment are weekly assignments and a final project with a minimum passing score of 70 percent. In the upper-division baccalaureate degree category, 3 semester hours in statistics or data mining.
Customer Analytics in R The methods of assessment are quizzes and case studies with a minimum passing score of 70 percent. In the upper-division baccalaureate degree category, 3 semester hours in statistics, data mining, or programming.
Deep Learning

The methods of assessment include quizzes and case studies, with a minimum passing score of 70 percent.

In the upper-division baccalaureate degree category, 3 semester hours in statistics, data mining or computer science.

Financial Risk Modeling

The methods of assessment include quizzes, case studies and a final project, with a minimum passing score of 70 percent. In the upper-division baccalaureate degree category, 3 semester hours in financial risk management, financial econometrics or applied statistics.

Forecasting Analytics

The methods of assessment are homework assignments and a final project with a minimum passing score of 70 percent.  In the lower-division baccalaureate/associate degree category, 3 semester hours in forecasting analytics, data mining, or data science.

Interactive Data Visualization

The methods of assessment are quizzes, weekly homework assignments and a final project with a minimum passing score of 70 percent. In the upper-division baccalaureate degree category, 2 semester hours in computer science, computer information systems, or information technology.
Integer & Nonlinear Programming and Network Flow The methods of assessment are weekly homework assignments with a minimum passing score of 70 percent. In the upper division baccalaureate degree category, 3 semester hours in operation research, computer programming, statistics or computer information systems. 
Matrix Algebra Review The methods of assessment are quizzes and case studies with a minimum passing score of 70 percent. In the lower-division baccalaureate/associate degree category, 3 semester hours in mathematics.

Natural Language Processing

The methods of assessment are weekly homework assignments, class posts, and short answer questions with a minimum passing score of 70 percent. In the upper-division baccalaureate degree category, 2 semester hours in computer science, computer information systems, or cyber security.

Introduction to Network Analysis

The methods of assessment are weekly homework assignments and a final project with a minimum passing score of 70 percent. In the upper-division baccalaureate degree category, 3 semester hours in computer science or network analysis.
Optimization – Linear Programming The method of assessment is weekly homework assignments with a minimum passing score of70 percent. In the upper-division baccalaureate degree category, 3 semester hours in mathematics or business management.

Persuasion Analytics and Targeting

The methods of assessment include quizzes, case studies, and a final project, with a minimum passing score of 70 percent. In the upper-division baccalaureate/associate degree category, 3 semester hours in computer science or data mining.

Predictive Analytics 1 –Machine Learning Tools

The methods of assessment are weekly homework assignments, a final project, and class posts with a minimum passing score of 70 percent. In the upper-division baccalaureate degree category, 3 semester hours in predictive analytics, data mining, or business analytics.

Predictive Analytics 2 – Neural Nets and Regression

The methods of assessment are weekly homework assignments, a final project, and multiple-choice exams with a minimum passing score of 70 percent. In the upper-division baccalaureate degree category, 3 semester hours in business analytics, predictive analytics, business analytics or data mining.

Predictive Analytics 3 – Dimension Reduction, Clustering, and Association Rules

The methods of assessment are a final project, multiple-choice examinations, and class posts with a minimum passing score of 70 percent.  In the upper-division baccalaureate degree category, 3 semester hours in business analytics, predictive analytics, or data mining.

Introduction to Python for Analytics

The methods of assessment are weekly homework assignments and a final project with a minimum passing score of 70 percent. In the lower-division baccalaureate/ associate degree category, 3 semester hours in computer information systems, statistics, or programming. 

R Programming – Introduction 1

The methods of assessment are weekly homework assignments with a minimum passing score of 70 percent. In the lower-division baccalaureate/ associate degree category, 3 semester hours in computer programming, computer science, or information systems.

R Programming – Introduction 2

The methods of assessment are weekly homework assignments with a minimum passing score of 70 percent. In the lower-division baccalaureate/ associate degree category, 3 semester hours in computer programming, computer science, or information systems.

R Programming – Intermediate

The methods of assessment are weekly homework assignments and a final exam with a minimum passing score of 70 percent. In the upper-division baccalaureate degree category, 3 semester hours in computer science, computer programming, information systems or statistics.

Regression Analysis

The methods of assessment are quizzes, a final project, and weekly homework assignments with a minimum passing score of 80 percent.

In the graduate degree category, 3 semester hours in statistics or applied regression analysis.

Risk, Simulation and Queuing

The methods of assessment are quizzes and weekly homework assignments with a minimum passing score of 80 percent.

In the graduate degree category, 3 semester hours in statistics or decision science.

Spatial Statistics with Geographic Information Systems

The methods of assessment are weekly homework assignments and a final project with a minimum passing score of 70 percent. In the upper-division baccalaureate degree category, 3 semester hours in spatial statistics, geospatial analysis or statistics.

SQL and R – Introduction to Database Queries

The methods of assessment are weekly homework assignments with a minimum passing score of 70 percent.  In the upper-division baccalaureate degree category, 3 semester hours in SQL queries, computer science or information systems.

Survival Analysis

The methods of assessment are weekly homework assignments and a final project with a minimum passing score of 80 percent.  In the graduate degree category, 3 semester hours in statistics or advanced biostatistics.

Text Mining

The methods of assessment are weekly homework assignments with a minimum passing score of 70 percent. In the lower-division baccalaureate/associate degree category, 3 semester hours in computer science, information systems or cyber security.

 

 

 

 

 

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