<h2 id="section---FrequentlyAskedQuestions">Frequently Asked Questions</h2> <h3 id="section---WhatKindOfProgramIsIt">What Kind of Program Is It?</h3> <p>National University's Doctor of Philosophy in Technology and Innovation Management (PhD-TIM) program with a Data Science specialization allows you to prepare for leadership roles in the emerging field of data science through courses that cover the latest industry trends, tools, and research. You'll have the opportunity to study advanced topics in Big Data analytics and integration, as well as explore methods for data mining and information extraction, using data to predict future events, and data visualization techniques. Other courses cover emerging topics in statistics and quantitative analysis and data management. You'll be required to complete and defend a dissertation on an original idea that contributes to the field of data science before successfully completing this program. </p> <h3 id="section---WhatAreThePrerequisites">What Are the Prerequisites?</h3> <p>As a potential student of the PhD-TIM program in Data Science, you should be interested in working with and analyzing large amounts of data. Strong computer, organizational, and analytic skills are also beneficial. All applicants to NCU's Doctor of Philosophy in Technology and Innovation Management programs must have a master's or doctoral degree from an accredited university. </p> <h3 id="section---WhatAreTheCourseRequirements">What Are the Course Requirements?</h3> <p>To graduate from this program, you must complete 60 credit hours. Thirty credits will be from required foundational courses, 18 credits will be from specialization courses, and 12 credits will be from dissertation courses. </p> <p /> <table border="1"><tr><th>Course Code</th><th>Course Name</th></tr> <tr><td><b>Required Foundational Courses</b></td><td /></tr> <tr><td>TIM 7001</td><td> Changing Times: Leading Technology &amp; Innovation in the 21st Century</td></tr> <tr><td>TIM 7200</td><td> Scholarly Communication for Technology Leaders</td></tr> <tr><td>TIM 7010</td><td>Computer Networks &amp; Mobile Computing</td></tr> <tr><td>TIM 7020</td><td>Databases &amp; Business Intelligence</td></tr> <tr><td>TIM 7030</td><td>Managing Risk, Security, &amp; Privacy in Information Systems</td></tr> <tr><td>TIM 7100</td><td>Statistics with Technology Applications</td></tr> <tr><td>TIM 7040</td><td>Technology Policy &amp; Strategy</td></tr> <tr><td>TIM 7210</td><td>Introduction to Research Design &amp; Methodology for Technology Leaders</td></tr> <tr><td>CMP 9700T</td><td> PhD-TIM Portfolio</td></tr> <tr><td> </td><td><b>Students choose one of the following three pairs of courses:</b></td></tr> <tr><td>TIM 7220 <br /><b>and</b><br /> TIM 7225 </td><td>Quantitative Research Design &amp; Methodology for Technology Leaders<br /> <br /> Directed Quantitative Research</td></tr> <tr><td>TIM 7230 <br /><b>and</b><br /> TIM 7235</td><td> Qualitative Research Design &amp; Methodology for Technology Leaders <br /> <br />Directed Qualitative Research</td></tr> <tr><td>TIM 7240 <br /><b>and</b><br /> TIM 7245</td><td> Constructive Research Design &amp; Methodology for Technology Leaders <br /> <br /> Directed Constructive Research</td></tr> <tr><td><b>Specialization Courses</b></td><td /></tr> <tr><td>TIM 8130</td><td> Data Mining</td></tr> <tr><td>TIM 8440</td><td>Knowledge Management</td></tr> <tr><td>TIM 8501</td><td>Quantitative Methods for Data Analytics and Business Intelligence</td></tr> <tr><td>TIM 8510</td><td>Data Visualization</td></tr> <tr><td>TIM 8520</td><td>Inferential Statistics and Predictive Analytics</td></tr> <tr><td>TIM 8530</td><td>Big Data Integration</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---WhatCouldIDoAfterGraduation">What Could I Do After Graduation?</h3> <h4 id="section---CareerOpportunities">Career Opportunities</h4> <p>After you have completed all the requirements of NCU's PhD in Technology and Innovation Management program with a specialization in Data Science, you could be ready to advance your current technology career, or you could choose to seek new positions where you have leadership or research responsibilities that contribute to the field of technology and innovation management. You could qualify for positions where you would be responsible for analyzing data and turning it into actionable knowledge. Some career titles you may consider include: </p> <ul><li>Data scientist </li><li>Director of information technology </li><li>Chief technology officer </li><li>Data analyst </li><li>Database administrator </li><li>Data science researcher</li></ul>