EdD - Learning Analytics in Higher Education

If you are interested in the fields of learning analytics and educational data mining, then you may want to look into the online Doctor of Education in Learning Analytics in Higher Education program offered by Northcentral University. Read on to learn more about this online EdD program.

Frequently Asked Questions

What Kind of Program Is It?

The Doctor of Education in Learning Analytics in Higher Education program offered by NCU is designed to prepare you to become a leader in the field of educational data analysis. You'll have the chance to study the identification, uses, and applications of data that is relevant to higher education as well as learn about the tools and technology specific to learner analytics. Additional specialization courses cover data privacy and security issues, institutional capacity, and the role of learning analytics for specific student outcomes. You'll also be required to complete a dissertation on an original research topic and a capstone course where you design a higher education analytics project.

What Are the Prerequisites?

You should enjoy working with data and technology and have a desire to learn how to use it to improve the higher education learning environment prior to applying to Northcentral University's Doctor of Education in Learning Analytics in Higher Education program. Applicants to Northcentral University's online EdD programs should already possess a post-baccalaureate master's degree and/or doctoral degree from an accredited institution.

What Are the Course Requirements?

As a student of the Doctor of Education in Learning Analytics in Higher Education program, you must complete 54 credits to earn this doctoral degree. Twenty-four of those credit hours will be from foundational courses, 15 credits should be from specialization courses, three credits will be from a comprehensive exam, and 12 credits will dissertation courses.

Required Courses for a Doctor of Education in Learning Analytics in Higher Education

Course NumberCourse Title
Required Courses
EDU 8000Foundations for Graduate Study in Education
EDU 8001Advanced Scholarly Writing
EDR 8200Scholarly Literature Review
EDR 8203Research Methods
EDR 8201Statistics I
EDR 8204Advanced Qualitative Design and Measurement
EDR 8205Advanced Quantitative Design and Measurement
One additional Specialization or Elective Course
Specialization Courses
Select five courses from the following:
LAHE 7000 Introduction to Learning and Knowledge Analytics
LAHE 7001Using Educational Data
LAHE 7002A Macro Level Approach to Learning Analytics in Higher Education
LAHE 7003Applying Learning Analytics in Higher Education
LAHE 7004Learning Analytic Tools
LAHE 7005Implementing a Higher Education Learning Analytics Project
Examination Course
CMP 9700E Doctoral Comprehensive Assessment: Pre-Candidacy Prospectus
Dissertation Courses
DIS 9901A Components of the Dissertation
DIS 9902AThe Dissertation Proposal
DIS 9903AInstitutional Review Board (IRB) and Data Collection
DIS 9904AThe Dissertation Manuscript and Defense

What Could I Do After I Graduate?

Career Opportunities

Once you have completed this Doctor of Education in Learning Analytics in Higher Education program, you could be prepared to seek a variety of research or leadership roles related to learner analytics. You may seek positions where you are responsible for gathering data, analyzing it, and using it to make recommendations that improve the learning experience for students, faculty, and administrators. Some of the positions you could consider include:

  • Director of learning analytics
  • Chief academic officer
  • Director of higher education research
  • Learning analytics specialist
  • Higher education research analyst