<h2 id="section---FrequentlyAskedQuestions">Frequently Asked Questions</h2> <h3 id="section---WhatKindOfProgramIsIt">What Kind of Program Is It?</h3> <p>In this online Education Specialist program in Learning Analytics in Higher Education, you'll have the opportunity to learn how to improve education environments and curriculums though data analysis. The specialization courses cover the history of data analytics and introduce you to the types of educational data and data mining processes used in learning analytics. In addition, courses cover the implications of learning analytics on multiple facets of higher education, how to apply learning analytics in micro- and macro-level approaches, and current analytics tools and their applications. The program concludes with a capstone course, where you must develop a higher education learning analytics project that addresses 'soft side' analytic issues as well as meets scope, timeliness, cost, and utility guidelines. </p> <h3 id="section---WhatAreThePrerequisites">What Are the Prerequisites?</h3> <p>You should have already earned a master's degree from an accredited institution prior to enrolling in the Education Specialist in Learning Analytics in Higher Education program. You should also enjoy analyzing data and be interested in a career where you apply educational data information to influence higher education learning environments. </p> <h3 id="section---WhatAreTheCourseRequirements">What Are the Course Requirements?</h3> <p>This 33-credit program includes 18 specialization credits, six foundation credits, six research methods credits, and three capstone credits. Required courses are listed below. </p> <p><u>Courses for an Education Specialist 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 8203:</td><td>Research Methods</td></tr> <tr><td>EDR 8204<br /> <b>OR</b><br /> EDR 8205</td><td> Advanced Qualitative Design and Measurement <br /> <br /> Advanced Quantitative Design and Measurement</td></tr> <tr><td><b>Specialization Courses</b></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>Capstone Course</b></td><td /></tr> <tr><td>ED 7053</td><td> Education Specialist Capstone Project</td></tr> </table><h3 id="section---WhatCouldIDoAfterGraduation">What Could I Do After Graduation?</h3> <h4 id="section---CareerOpportunities">Career Opportunities</h4> <p>After completing NCU's EdS in Learning Analytics in Higher Education program, you could be prepared to seek a variety of employment opportunities where you analyze higher education data, turn it into useful information, and make recommendations to improve the experience of 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>Institutional research director </li><li>Learning analytics consultant </li><li>Higher education research analyst</li></ul>