learning analytics students working together

Learning Analytics Certificate

Develop skills to see patterns in educational data showing which educational practices work best and how to identify at-risk students.

Big data and data analytics emerged quickly in the past decade. It’s become the new frontier for data-driven decisions in education. The online Learning Analytics program involves the collection, management, analysis and reporting of meaningful patterns in data. You'll learn to use data to optimize learning and the environments in which it occurs.

Program type:
Certificate - Graduate
Format:
Online
Est. time to complete:
1 year
Credit hours:
12

Why earn a learning analytics certificate online?

Application Deadlines
Fall:
Aug. 1
Spring:
Dec. 1
Summer:
May 1

They aren't buzz terms – big data, predictive analytics and data mining are all terms that are making an impact in education. Learning analytics are valuable tools for both educators and learners from pre-kindergarten to college. Data offers insights that can be used to improve learning processes and teaching practices.

More than 87 percent of teachers surveyed by The New America Foundation report analytics can be a powerful instruction tool in the classroom. Despite analytics’ increasing relevance, there is a shortage of professionals with learning analytics expertise.

You'll learn the latest in data analytic methodologies, techniques and the newest technology used in the education field today. Students this online analytics program will gain knowledge and skills in the following areas:

  • Fundamental theories, concepts, questions and deliverables in learning analytics.
  • Collecting, storing and managing educational data.
  • Basic statistics for educational data analysis.
  • Programming in prevalent analytics software.
  • Data visualization principles and techniques.
  • Producing actionable reports for educational stakeholders.

Graduate Certificate in Learning Analytics

  • Courses are asynchronous online, allowing great flexibility for working professionals. Take classes on your own schedule.

  • Engage your enthusiasm for research and data analysis. You'll be positioned as a top applicant in master’s and doctoral education programs.

  • Gain competitive edge in a number of careers, ranging from learning analytics researcher to data director and teacher to higher education administrator.

  • Train with latest in data analytic methodologies and technology.

What can I do with a learning analytics certificate?

9.7%

Job growth in North Dakota (compared with 4% for all other occupations/Hanover Research Report) 

77K

Median annual salary for instructional designer

U.S. Bureau of Labor Statistics

Careers in Learning Analytics can include the following job titles:

  • Data Scientist
  • Educational Data Analyst / Scientist
  • eLearning Officer
  • Instructional Designer
  • Interface and Multimedia Designer
  • Learning Analytics Specialist
  • Learning Management Systems Analyst
  • Training Coordinator

Learning Analytics Certificate Courses

EFR 530. Learning Analytics. 3 Credits.

Learning analytics is the collection, management, analysis, and reporting of meaningful patterns in data about learners, aimed at optimizing learning and the environments in which it occurs. This course will provide students with the building blocks of learning analytics, including history, concepts and theories, question development, common data sources, tools and techniques, challenges, ethics, applications, case studies, and presenting to educational audiences for decision-making. F, even years.

EFR 515. Statistics I. 3 Credits.

An introduction to basic statistical methods, focusing primarily on descriptive statistics and inferential statistics up to and including two-way analysis of variance.

EFR 535. Data Analytics and Visualization with R. 3 Credits.

R is an increasingly popular, open-source programming language with powerful packages for data analytics and visualization. In this course, students will first master the fundamentals of R, including installation, programming techniques, reading data files, and basic statistics. The fundamentals of data visualization will then be covered, such as theory, applications, and examples. Finally, students will develop skills in data visualization techniques using R packages. Prerequisite or Corequisite: EFR 515 or equivalent. S, even years.

EFR 513. Large Dataset Management and Analysis. 3 Credits.

A study of educational and social science statistics involving gathering, managing, manipulation and analysis of large data sets, both local and national, using R. On demand.

Explore More Options

Looking to connect with your department or pursue similar certificates?

Department Contact
Rob Stupnisky
Graduate Director
P 701.777.0744
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