{"id":8,"date":"2018-11-12T17:08:27","date_gmt":"2018-11-13T01:08:27","guid":{"rendered":"https:\/\/business.laverne.edu\/masters-in-data-analytics\/?page_id=8"},"modified":"2022-09-26T09:34:19","modified_gmt":"2022-09-26T16:34:19","slug":"curriculum","status":"publish","type":"page","link":"https:\/\/business.laverne.edu\/masters-in-data-analytics\/curriculum\/","title":{"rendered":"Data Analytics Curriculum"},"content":{"rendered":"\t\t
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Degree Requirements<\/h2>\n

Waivable Prerequisite Courses<\/h3>\n

0-3 semester hours<\/strong><\/p>\n

The prerequisite course a student must fulfill is determined by a review of the student's undergraduate coursework and professional experience. If a prerequisite course is needed, it should be among the first courses taken.<\/p>\n\n\n\n\n\n<\/colgroup>\n\n\n\n
Course List<\/caption>\n
Code<\/th>\nTitle<\/th>\nSemester Hours<\/th>\n<\/tr>\n<\/thead>\n
MDA\u00a0500<\/span><\/td>Statistics and Linear Algebra<\/td>3<\/td><\/tr>\n
Total Semester Hours<\/td>3<\/td><\/tr><\/tbody>\n<\/table>\n\n

Total Program: 36 semester hours<\/strong><\/p>\n

Core Courses<\/h3>\n

21 semester hours<\/strong><\/p>\n\n\n\n\n\n<\/colgroup>\n\n\n\n
Course List<\/caption>\n
Code<\/th>\nTitle<\/th>\nSemester Hours<\/th>\n<\/tr>\n<\/thead>\n
BUS\u00a0510<\/span><\/td>Management of Information Technology<\/td>3<\/td><\/tr>\n
BUS\u00a0512<\/span><\/td>Integrated Data Management<\/td>3<\/td><\/tr>\n
MDA\u00a0501<\/span><\/td>SAS Programming Essentials<\/td>3<\/td><\/tr>\n
MDA\u00a0502<\/span><\/td>Multivariate Statistical Analysis<\/td>3<\/td><\/tr>\n
MDA\u00a0503<\/span><\/td>Data Mining and Predictive Analytics I<\/td>3<\/td><\/tr>\n
MDA\u00a0504<\/span><\/td>Data Mining and Predictive Analytics II<\/td>3<\/td><\/tr>\n
MDA\u00a0580<\/span><\/td>Analytics Graduate Seminar (Culminating Activity)<\/td>3<\/td><\/tr>\n
Total Semester Hours<\/td>21<\/td><\/tr><\/tbody>\n<\/table>\n\n

Concentration\/Track<\/h3>\n

15 semester hours<\/strong><\/p>\n

Students in this program must select one of the available concentrations or the customized track option.<\/p>\n

Marketing Analytics Concentration<\/h4>\n\n\n\n\n\n<\/colgroup>\n\n\n\n
Course List<\/caption>\n
Code<\/th>\nTitle<\/th>\nSemester Hours<\/th>\n<\/tr>\n<\/thead>\n
BUS\u00a0560<\/span><\/td>Seminar in Marketing Management<\/td>3<\/td><\/tr>\n
MDA\u00a0564<\/span><\/td>Marketing Research Methods<\/td>3<\/td><\/tr>\n
MDA\u00a0565<\/span><\/td>Digital Marketing and Social Media Analytics<\/td>3<\/td><\/tr>\n
MDA\u00a0568<\/span><\/td>Experimental Design and Analysis in Consumer Behavior<\/td>3<\/td><\/tr>\n
MDA\u00a0569<\/span><\/td>Marketing Analytics<\/td>3<\/td><\/tr>\n
Total Semester Hours<\/td>15<\/td><\/tr><\/tbody>\n<\/table>\n\n

Supply Chain Analytics Concentration<\/h4>\n\n\n\n\n\n<\/colgroup>\n\n\n\n
Course List<\/caption>\n
Code<\/th>\nTitle<\/th>\nSemester Hours<\/th>\n<\/tr>\n<\/thead>\n
BUS\u00a0575<\/span><\/td>Analysis of Business Operations<\/td>3<\/td><\/tr>\n
BUS\u00a0576<\/span><\/td>Supply Chain Management & Strategy<\/td>3<\/td><\/tr>\n
MDA\u00a0572<\/span><\/td>Problem Solving Methodologies<\/td>3<\/td><\/tr>\n
MDA\u00a0573<\/span><\/td>Analytics in Operations and Planning<\/td>3<\/td><\/tr>\n
MDA\u00a0579<\/span><\/td>Analytics in Logistics and Sourcing<\/td>3<\/td><\/tr>\n
Total Semester Hours<\/td>15<\/td><\/tr><\/tbody>\n<\/table>\n\n

Customized Track Option<\/h4>\n

This option is designed to allow students flexibility to choose any combination of the courses that make up the Marketing Analytics and Supply Chain Concentrations.\u00a0 Students must satisfy any prerequisites for the classes they choose as part of this option.<\/p>\n\n\n\n\n\n<\/colgroup>\n\n\n\n
Course List<\/caption>\n
Code<\/th>\nTitle<\/th>\nSemester Hours<\/th>\n<\/tr>\n<\/thead>\n
Select five of the following:<\/span><\/td>15<\/td><\/tr>\n
BUS\u00a0560<\/span><\/div><\/td>
Seminar in Marketing Management<\/td><\/td><\/tr>\n
BUS\u00a0575<\/span><\/div><\/td>
Analysis of Business Operations<\/td><\/td><\/tr>\n
BUS\u00a0576<\/span><\/div><\/td>
Supply Chain Management & Strategy<\/td><\/td><\/tr>\n
MDA\u00a0564<\/span><\/div><\/td>
Marketing Research Methods<\/td><\/td><\/tr>\n
MDA\u00a0565<\/span><\/div><\/td>
Digital Marketing and Social Media Analytics<\/td><\/td><\/tr>\n
MDA\u00a0568<\/span><\/div><\/td>
Experimental Design and Analysis in Consumer Behavior<\/td><\/td><\/tr>\n
MDA\u00a0569<\/span><\/div><\/td>
Marketing Analytics<\/td><\/td><\/tr>\n
MDA\u00a0572<\/span><\/div><\/td>
Problem Solving Methodologies<\/td><\/td><\/tr>\n
MDA\u00a0573<\/span><\/div><\/td>
Analytics in Operations and Planning<\/td><\/td><\/tr>\n
MDA\u00a0579<\/span><\/div><\/td>
Analytics in Logistics and Sourcing<\/td><\/td><\/tr>\n
Total Semester Hours<\/td>15<\/td><\/tr><\/tbody>\n<\/table>\n\n\n\n\t\t\t<\/div>\n\t\t<\/section>\n\t\t\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":28,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-8","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"\nMS Data Analytics Curriculum | University of La Verne<\/title>\n<meta name=\"description\" content=\"Courses in the Data Analytics program will focus on developing the depth and breadth of knowledge required to pursue a career as a data analyst.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/business.laverne.edu\/masters-in-data-analytics\/curriculum\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" 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