{"id":795,"date":"2013-08-29T10:04:38","date_gmt":"2013-08-29T15:04:38","guid":{"rendered":"http:\/\/www.sunyit.edu\/apps\/catalog\/grad\/?page_id=795"},"modified":"2013-08-29T10:04:38","modified_gmt":"2013-08-29T15:04:38","slug":"certificate-for-advanced-study-in-data-analysis","status":"publish","type":"page","link":"https:\/\/webapp.sunypoly.edu\/grad-catalog-2014-2015\/certificate-for-advanced-study-in-data-analysis\/","title":{"rendered":"Data Analysis (CAS)"},"content":{"rendered":"<p><em style=\"line-height: 1.714285714; font-size: 1rem;\">Offered Online Only<\/em><\/p>\n<p><b>Overview<br \/>\n<\/b>The post-bachelor&#8217;s Certificate for Advanced Study in Data Analysis provides both a practical and theoretical foundation for professionals who need to understand randomness and variability, its causes and consequences.\u00a0 Students will learn how to design efficient and effective experiments and observational studies in order to answer questions they find interesting.\u00a0 The program works students through important probability models and the underlying mathematics to understand random phenomena.\u00a0 Software is used to analyze data and make effective presentations of results to different audiences.<\/p>\n<p>The program is designed for students who have a bachelor\u2019s degree in any field.\u00a0 In addition, a background in mathematics including calculus I, II, III, and linear algebra\/matrix methods is required.<\/p>\n<p><b>Career Paths<br \/>\n<\/b>Enrolled students are provided with the opportunity to expand their analytical and presentation skills in this dynamic and growing field, resulting in increased career advancement opportunities.\u00a0 Actuaries, electrical engineers, computer scientists and quality and system engineers all need strong foundations in probability and data analysis and would benefit professionally from this program.<\/p>\n<p><b>Degree Requirements<br \/>\n<\/b>The CAS in Data Analysis consists of <strong>12 credit hours<\/strong>:<\/p>\n<ul>\n<li>MAT 505 Introduction to Probability<\/li>\n<li>MST 570 Design &amp; Analysis of Experiments<\/li>\n<li>STA 510 Regression and Analysis of Variance<\/li>\n<li>MST 680 Reliability and Quality Assurance\u00a0 <strong>OR<\/strong>\u00a0 MAT 550 Time Series<\/li>\n<\/ul>\n<p>Students are required to consult with a faculty member to develop an academic plan.<\/p>\n<p><b>Special Program Notes:<\/b><\/p>\n<ul>\n<li>All graduate courses are 3 credit hours.<\/li>\n<li>All students must have a 3.0 GPA or higher to graduate.<\/li>\n<\/ul>\n<p><b>Faculty<\/b><\/p>\n<p><b>Dr. Andrea Dziubek, <\/b>Assistant Professor<br \/>\nPhD, Berlin University of Technology , Germany<br \/>\nModeling and simulation of problems in biomedical engineering, continuum mechanics, shell theory, structure preserving numerical methods and finite element methods.<\/p>\n<p><strong><b>Dr.\u00a0<\/b>Firas Khasawneh,\u00a0<\/strong>Assistant Professor, Mechanical Engineering<em><br \/>\n<\/em>BS, Jordan University of Science &amp; Technology<br \/>\nMS, University of Missouri<br \/>\nPhD, Duke University<\/p>\n<p><b>Dr. Edmond Rusjan, <\/b>Associate Professor<br \/>\nPhD, Virginia Tech<br \/>\nGeometry and symmetry inspired mathematical models:\u00a0 Boltzmann equation, Lie groups and Lie algebras and Calabi-Yau spaces to solve problems in physics and engineering.<\/p>\n<p><b>Dr. William Thistleton, <\/b>Associate Professor<br \/>\nPhD, SUNY Stony Brook<br \/>\nAnalysis, computational mathematics, data analysis, probability and statistics.<\/p>\n<p><b>Dr. Zora Thomova, <\/b>Professor<br \/>\nPhD, University of Montreal<br \/>\nFinancial mathematics, fundamentals of derivative markets, continuous symmetries of differential and difference equations.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Offered Online Only Overview The post-bachelor&#8217;s Certificate for Advanced Study in Data Analysis provides both a practical and theoretical foundation for professionals who need to understand randomness and variability, its causes and consequences.\u00a0 Students will learn how to design efficient and effective experiments and observational studies in order to answer questions they find interesting.\u00a0 The [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":8,"comment_status":"closed","ping_status":"open","template":"","meta":{"footnotes":""},"class_list":["post-795","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/webapp.sunypoly.edu\/grad-catalog-2014-2015\/wp-json\/wp\/v2\/pages\/795","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/webapp.sunypoly.edu\/grad-catalog-2014-2015\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/webapp.sunypoly.edu\/grad-catalog-2014-2015\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/webapp.sunypoly.edu\/grad-catalog-2014-2015\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/webapp.sunypoly.edu\/grad-catalog-2014-2015\/wp-json\/wp\/v2\/comments?post=795"}],"version-history":[{"count":0,"href":"https:\/\/webapp.sunypoly.edu\/grad-catalog-2014-2015\/wp-json\/wp\/v2\/pages\/795\/revisions"}],"wp:attachment":[{"href":"https:\/\/webapp.sunypoly.edu\/grad-catalog-2014-2015\/wp-json\/wp\/v2\/media?parent=795"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}