<h2 id="section---FrequentlyAskedQuestions">Frequently Asked Questions</h2> <h3 id="section---WhatKindOfProgramIsIt">What Kind of Program Is It?</h3> <p>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. </p> <h3 id="section---WhatAreThePrerequisites">What Are the Prerequisites?</h3> <p>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 National University's Doctor of Education in Learning Analytics in Higher Education program. Applicants to National University's online EdD programs should already possess a post-baccalaureate master's degree and/or doctoral degree from an accredited institution. </p> <h3 id="section---WhatAreTheCourseRequirements">What Are the Course Requirements?</h3> <p>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. </p> <p><u>Required Courses for a Doctor of Education in Learning Analytics in Higher Education</u> </p> <p /> <table border="1"><tr><th>Course Number</th><th>Course Title</th></tr> <tr><td><b>Required Courses</b></td><td /></tr> <tr><td>EDU 8000</td><td>Foundations for Graduate Study in Education</td></tr> <tr><td>EDU 8001</td><td>Advanced Scholarly Writing</td></tr> <tr><td>EDR 8200</td><td>Scholarly Literature Review</td></tr> <tr><td>EDR 8203</td><td>Research Methods</td></tr> <tr><td>EDR 8201</td><td>Statistics I</td></tr> <tr><td>EDR 8204</td><td>Advanced Qualitative Design and Measurement</td></tr> <tr><td>EDR 8205</td><td>Advanced Quantitative Design and Measurement</td></tr> <tr><td> </td><td>One additional Specialization or Elective Course</td></tr> <tr><td><b>Specialization Courses</b></td><td /></tr> <tr><td>Select five courses from the following:</td><td /></tr> <tr><td>LAHE 7000</td><td> Introduction to Learning and Knowledge Analytics</td></tr> <tr><td>LAHE 7001</td><td>Using Educational Data</td></tr> <tr><td>LAHE 7002</td><td>A Macro Level Approach to Learning Analytics in Higher Education</td></tr> <tr><td>LAHE 7003</td><td>Applying Learning Analytics in Higher Education</td></tr> <tr><td>LAHE 7004</td><td>Learning Analytic Tools</td></tr> <tr><td>LAHE 7005</td><td>Implementing a Higher Education Learning Analytics Project</td></tr> <tr><td><b>Examination Course</b></td><td /></tr> <tr><td>CMP 9700E</td><td> Doctoral Comprehensive Assessment: Pre-Candidacy Prospectus</td></tr> <tr><td><b>Dissertation Courses</b></td><td /></tr> <tr><td>DIS 9901A</td><td> Components of the Dissertation</td></tr> <tr><td>DIS 9902A</td><td>The Dissertation Proposal</td></tr> <tr><td>DIS 9903A</td><td>Institutional Review Board (IRB) and Data Collection</td></tr> <tr><td>DIS 9904A</td><td>The Dissertation Manuscript and Defense</td></tr> </table><h3 id="section---WhatCouldIDoAfterIGraduate">What Could I Do After I Graduate?</h3> <h4 id="section---CareerOpportunities">Career Opportunities</h4> <p>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: </p> <ul><li>Director of learning analytics </li><li>Chief academic officer </li><li>Director of higher education research </li><li>Learning analytics specialist </li><li>Higher education research analyst</li></ul>