PhD - Learning Analytics in Higher Education
Students who want to prepare for a research career where they help higher education institutes improve their institutional capacity and outcomes may be interested in Northcentral University's Ph.D. in Education with a specialization in Learning Analytics in Higher Education program. Learn more about this online program here.
Official Program Name:
Ph.D. in Education with a specialization in Learning Analytics in Higher Education
School Offering Program:
Potential students of the Ph.D. in Education program must already hold a master's degree or higher from a regionally accredited university. Individuals considering the Learning Analytics in Higher Education specialization option may also have some computer knowledge and strong analytical and problem-solving skills.
Northcentral University's Doctor of Philosophy in Education with a specialization in Learning Analytics in Higher Education program is designed to give students a chance to develop advanced research and data analysis skills in learning analytics. The specialization courses include topics on the history of data analytics, key theories and applications, different types of educational data, and current technology and analytical tools. Students may also learn about data mining processes, macro- and micro-level approaches to using learning analytics, and how data can be used to improve administration decisions and student outcomes. Students will also complete a theoretical higher education analytics project and develop a dissertation on an original research idea related to this field of study.
Program Length/Total Credits Required:
This program requires the completion of at least 60 credit hours. However, students who need additional time to complete dissertation research may take up 75 credit hours.
Financial Aid Available:
Financial aid is available to qualifying students. Graduate students may apply for the Federal Stafford Loan or the Federal Graduate PLUS Loan. Military personnel and veterans may qualify for special assistance or tuition reduction.
Tuition, Financial Aid & Start Dates
Since every student is different, there isn't a "one size fits all" for school information. Start dates and tuition often vary between selected programs, and financial aid opportunities are unique to each student's circumstances. Complete the form to the right to get the most up-to-date and accurate information based on your selected program and circumstances.
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Required Courses for a Ph.D. in Education with a Specialization in Learning Analytics in Higher Education:
Program and course requirements are subject to change. Contact Northcentral University to confirm the most accurate information before enrolling in a program.
Doctor of Philosophy Foundation Courses (24 credits)
- EDU 8000: Foundations for Doctoral Study in Education
- EDU 8001: Advanced Scholarly Writing
- EDR 8200: Scholarly Literature Review
- EDR 8203: Research Methods
- EDR 8201: Statistics I
- EDR 8202: Statistics II
- EDR 8204: Advanced Qualitative Design and Measurement
- EDR 8205: Advanced Quantitative Design and Measurement
- One Additional Specialization or Elective Course
Learning Analytics in Higher Education Specialization Courses (18 credits)
- LAHE 7000: Introduction to Learning and Knowledge Analytics
- LAHE 7001: Using Educational Data
- LAHE 7002: A Macro Level Approach to Learning Analytics in Higher Education
- LAHE 7003: Applying Learning Analytics in Higher Education
- LAHE 7004: Learning Analytic Tools
- LAHE 7005: Implementing a Higher Education Learning Analytics Project
Doctoral Comprehensive Examination (3 credits)
- CMP 9700E: Doctoral Comprehensive Assessment: Pre-Candidacy Prospectus
Dissertation Requirements (12 credits)
- DIS 9901A: Components of the Dissertation
- DIS 9902A: The Dissertation Proposal
- DIS 9903A: Institutional Review Board (IRB) and Data Collection
- DIS 9904A: The Dissertation Manuscript and Defense
After completing this program, students could be prepared to take on research positions where they collect, analyze, and apply educational data for institutes of higher education. They could seek positions within schools, as well as for the government, research institutes, or education think tanks. Possible positions graduates could pursue include:
- Educational consultant
- Higher education researcher
- Learning analytics college professor
- Higher education research analyst
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