[{"command":"settings","settings":{"basePath":"\/","pathPrefix":"es\/","ajaxPageState":{"theme":"andes","theme_token":"vMRSLmSY6nHhpzhfd3g4-z0Z-T5tAGyBJgXj9KHKeRE"},"googleCSE":{"cx":" 018231938674625582243:gwfydvaxzyg","language":"","resultsWidth":600,"domain":"www.google.com","showWaterMark":0},"CToolsModal":{"modalSize":{"type":"scale","width":".9","height":".9","addWidth":0,"addHeight":0,"contentRight":25,"contentBottom":75},"modalOptions":{"opacity":".55","background-color":"#FFF"},"animationSpeed":"fast","modalTheme":"CToolsModalDialog","throbberTheme":"CToolsModalThrobber"},"panopoly_magic":{"pane_add_preview_mode":"single"}},"merge":true},{"command":"insert","method":"replaceWith","selector":"section.content","data":"\u003Csection id=\u0027curriculum-4\u0027class=\u0027content\u0027\u003E\u003Ch1 id=\u0027node-5468\u0027 class=\u0027content-item\u0027\u003ECurriculum\u003C\/h1\u003E\u003Cp\u003EThe master\u2019s program in Analytical Intelligence for Decision Making (MIIA) of UniAndes consists of 36 aca-demic credits, divided into 11 courses: 7 four-credit courses and 4 two-credit courses. The curriculum can be completed in 1,5 years (3 semesters + 1 summer school period) with a partial-time dedication. Compli-ance with an English requirement will also be required. Semesters I, II and III have 10 total credits, and summer school has 6 total credits.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe curriculum has the following courses divided by cycles:\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EBasic cycle:\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp class=\u0022rteindent2\u0022\u003EStatistical Analysis Models (4 credits - 48 hours)\u003C\/p\u003E\r\n\r\n\u003Cp class=\u0022rteindent2\u0022\u003EComputational Tools for Data Analysis (2 credits - 24 hours)\u003C\/p\u003E\r\n\r\n\u003Cp class=\u0022rteindent2\u0022\u003EModeling and Process Optimization (4 credits - 48 hours)\u003C\/p\u003E\r\n\r\n\u003Cp class=\u0022rteindent2\u0022\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003ETechnical Deepening cycle:\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp class=\u0022rteindent2\u0022\u003EData Mining (4 credits - 48 hours)\u003C\/p\u003E\r\n\r\n\u003Cp class=\u0022rteindent2\u0022\u003EModels for Analysis and Decision Making (4 credits - 48 hours)\u003C\/p\u003E\r\n\r\n\u003Cp class=\u0022rteindent2\u0022\u003EAdvanced Models for Data Analysis 1 (4 credits - 48 hours)\u003C\/p\u003E\r\n\r\n\u003Cp class=\u0022rteindent2\u0022\u003EAdvanced Models for Data Analysis 2 (4 credits - 48 hours)\u003C\/p\u003E\r\n\r\n\u003Cp class=\u0022rteindent2\u0022\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EComplementary cycle:\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp class=\u0022rteindent2\u0022\u003EDecision Models in Marketing (4 Credits - 48 hours)\u003C\/p\u003E\r\n\r\n\u003Cp class=\u0022rteindent2\u0022\u003ESummer School Elective (4 Credits - 48 hours)\u003C\/p\u003E\r\n\r\n\u003Cp class=\u0022rteindent2\u0022\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003EIntegration cycle:\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp class=\u0022rteindent2\u0022\u003EPractical Project 1 (2 Credits - 24 hours)\u003C\/p\u003E\r\n\r\n\u003Cp class=\u0022rteindent2\u0022\u003EPractical Project 2 (4 Credits - 48 hours)\u003C\/p\u003E\r\n\u003C\/section\u003E","settings":null}]