{"id":14033,"date":"2024-09-04T07:02:29","date_gmt":"2024-09-04T07:02:29","guid":{"rendered":"https:\/\/www.ksoumysuru.ac.in\/?page_id=14033"},"modified":"2024-09-04T09:53:49","modified_gmt":"2024-09-04T09:53:49","slug":"m-sc-in-data-science","status":"publish","type":"page","link":"https:\/\/www.ksoumysuru.ac.in\/index.php\/m-sc-in-data-science\/","title":{"rendered":"M.Sc. in Data Science"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"14033\" class=\"elementor elementor-14033\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-735b87dd elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"735b87dd\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t\t<div class=\"elementor-background-overlay\"><\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-5719fb39\" data-id=\"5719fb39\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5cab299f elementor-widget elementor-widget-heading\" data-id=\"5cab299f\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.20.0 - 13-03-2024 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h2 class=\"elementor-heading-title elementor-size-default\">MSc Data Science<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-54abe34c elementor-icon-list--layout-inline elementor-align-center elementor-list-item-link-full_width elementor-widget elementor-widget-icon-list\" data-id=\"54abe34c\" data-element_type=\"widget\" data-widget_type=\"icon-list.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<link rel=\"stylesheet\" href=\"https:\/\/www.ksoumysuru.ac.in\/wp-content\/plugins\/elementor\/assets\/css\/widget-icon-list.min.css\">\t\t<ul class=\"elementor-icon-list-items elementor-inline-items\">\n\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item elementor-inline-item\">\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Home<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item elementor-inline-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-chevron-right\" viewBox=\"0 0 320 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M285.476 272.971L91.132 467.314c-9.373 9.373-24.569 9.373-33.941 0l-22.667-22.667c-9.357-9.357-9.375-24.522-.04-33.901L188.505 256 34.484 101.255c-9.335-9.379-9.317-24.544.04-33.901l22.667-22.667c9.373-9.373 24.569-9.373 33.941 0L285.475 239.03c9.373 9.372 9.373 24.568.001 33.941z\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">MSc Data Science<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t<\/ul>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t<div class=\"elementor-element elementor-element-3dbb3be e-flex e-con-boxed e-con e-parent\" data-id=\"3dbb3be\" data-element_type=\"container\" data-core-v316-plus=\"true\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-eab7c49 elementor-widget elementor-widget-text-editor\" data-id=\"eab7c49\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.20.0 - 13-03-2024 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p><strong>Eligibility Conditions (Graduates from recognized University)<\/strong><\/p><ul><li>\u00a0Graduates in BCA \/B.Sc (IT\/CS\/IS)\/ AMIE\/ BE (CS\/IS\/Electronics\/ IT \/ EEE \/ CSE \/ ISE \/ TE) \/B.Tech (CS\/IS\/IT\/Electronics) or any other related courses\/subjects from any recognized university.<\/li><\/ul><p>OR<\/p><ul><li>\u00a0Graduates in B.Sc with mathematics\/statistics as one of the major<\/li><\/ul><p>Duration: 2 Years<\/p><p>Scheme: Semester ( CBCS)<\/p><p>Credits: 82<\/p><p>Course Matrix<\/p><p><strong>\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0<u> M.Sc. in Data Science <\/u><\/strong><strong><u>(CBCS mode)<\/u><\/strong><\/p><p><strong>\u00a0<\/strong><\/p><table width=\"651\"><tbody><tr><td rowspan=\"2\" width=\"38\"><p><strong>Sem<\/strong><\/p><\/td><td rowspan=\"2\" width=\"91\"><p><strong>Course Code<\/strong><\/p><p><strong>\u00a0<\/strong><\/p><\/td><td rowspan=\"2\" width=\"220\"><p><strong>Course Title <\/strong><\/p><\/td><td rowspan=\"2\" width=\"38\"><p><strong>Credits<\/strong><\/p><\/td><td rowspan=\"2\" width=\"38\"><p><strong>Counseling\/PCP Hours <\/strong><\/p><\/td><td colspan=\"3\" width=\"123\"><p><strong>Max. Marks<\/strong><\/p><\/td><td colspan=\"2\" width=\"76\"><p><strong>Min. Passing Marks<\/strong><\/p><\/td><td rowspan=\"2\" width=\"28\"><p><strong>Duration of Exam<\/strong><\/p><\/td><\/tr><tr><td width=\"47\"><p><strong>Internal Assessment <\/strong><\/p><\/td><td width=\"38\"><p><strong>Term end exam<\/strong><\/p><\/td><td width=\"38\"><p><strong>Total Marks<\/strong><\/p><\/td><td width=\"38\"><p><strong>Internal Assessment<\/strong><\/p><\/td><td width=\"38\"><p><strong>Term end exam<\/strong><\/p><\/td><\/tr><tr><td rowspan=\"9\" width=\"38\"><p>I<\/p><\/td><td width=\"91\"><p>MDDSC-1.1<\/p><\/td><td width=\"220\"><p>Mathematical Foundations<\/p><\/td><td width=\"38\"><p>4<\/p><\/td><td width=\"38\"><p>12<\/p><\/td><td width=\"47\"><p>20<\/p><\/td><td width=\"38\"><p>80<\/p><\/td><td width=\"38\"><p>100<\/p><\/td><td width=\"38\"><p>08<\/p><\/td><td width=\"38\"><p>32<\/p><\/td><td width=\"28\"><p>3<\/p><\/td><\/tr><tr><td width=\"91\"><p>MDDSC-1.2<\/p><\/td><td width=\"220\"><p>Programming with Python<\/p><\/td><td width=\"38\"><p>4<\/p><\/td><td width=\"38\"><p>12<\/p><\/td><td width=\"47\"><p>20<\/p><\/td><td width=\"38\"><p>80<\/p><\/td><td width=\"38\"><p>100<\/p><\/td><td width=\"38\"><p>08<\/p><\/td><td width=\"38\"><p>32<\/p><\/td><td width=\"28\"><p>3<\/p><\/td><\/tr><tr><td width=\"91\"><p>MDDSC-1.3<\/p><\/td><td width=\"220\"><p>Mathematical Foundations\u00a0 Lab<\/p><\/td><td width=\"38\"><p>2<\/p><\/td><td width=\"38\"><p>60<\/p><\/td><td width=\"47\"><p>10<\/p><\/td><td width=\"38\"><p>40<\/p><\/td><td width=\"38\"><p>50<\/p><\/td><td width=\"38\"><p>04<\/p><\/td><td width=\"38\"><p>16<\/p><\/td><td width=\"28\"><p>3<\/p><\/td><\/tr><tr><td width=\"91\"><p>MDDSC-1.4<\/p><\/td><td width=\"220\"><p>Programming with Python Lab<\/p><\/td><td width=\"38\"><p>2<\/p><\/td><td width=\"38\"><p>60<\/p><\/td><td width=\"47\"><p>10<\/p><\/td><td width=\"38\"><p>40<\/p><\/td><td width=\"38\"><p>50<\/p><\/td><td width=\"38\"><p>04<\/p><\/td><td width=\"38\"><p>16<\/p><\/td><td width=\"28\"><p>3<\/p><\/td><\/tr><tr><td width=\"91\"><p>MDDSE-1.5<\/p><\/td><td width=\"220\"><p>Database Management System<\/p><\/td><td rowspan=\"2\" width=\"38\"><p>3<\/p><\/td><td rowspan=\"2\" width=\"38\"><p>09<\/p><\/td><td rowspan=\"2\" width=\"47\"><p>20<\/p><\/td><td rowspan=\"2\" width=\"38\"><p>80<\/p><\/td><td rowspan=\"2\" width=\"38\"><p>100<\/p><\/td><td rowspan=\"2\" width=\"38\"><p>08<\/p><\/td><td rowspan=\"2\" width=\"38\"><p>32<\/p><\/td><td rowspan=\"2\" width=\"28\"><p>\u00a0 3<\/p><\/td><\/tr><tr><td width=\"91\"><p>MDDSE-1.6<\/p><\/td><td width=\"220\"><p>Data Structure<\/p><\/td><\/tr><tr><td width=\"91\"><p>MDDSE-1.7<\/p><\/td><td width=\"220\"><p>Operating System<\/p><\/td><td width=\"38\"><p>3<\/p><\/td><td width=\"38\"><p>09<\/p><\/td><td width=\"47\"><p>20<\/p><\/td><td width=\"38\"><p>80<\/p><\/td><td width=\"38\"><p>100<\/p><\/td><td width=\"38\"><p>08<\/p><\/td><td width=\"38\"><p>32<\/p><\/td><td width=\"28\"><p>\u00a03<\/p><\/td><\/tr><tr><td width=\"91\"><p>ELMIT \u201301<\/p><\/td><td width=\"220\"><p>Interdisciplinary Elective-1<\/p><p>Green Computing<\/p><\/td><td width=\"38\"><p>2<\/p><\/td><td width=\"38\"><p>06<\/p><\/td><td width=\"47\"><p>10<\/p><\/td><td width=\"38\"><p>40<\/p><\/td><td width=\"38\"><p>50<\/p><\/td><td width=\"38\"><p>04<\/p><\/td><td width=\"38\"><p>16<\/p><\/td><td width=\"28\"><p>1<sup>1\/2<\/sup><\/p><\/td><\/tr><tr><td colspan=\"2\" width=\"311\"><p><strong>Total<\/strong><\/p><\/td><td width=\"38\"><p><strong>20<\/strong><\/p><\/td><td width=\"38\"><p><strong>168<\/strong><\/p><\/td><td width=\"47\"><p><strong>110<\/strong><\/p><\/td><td width=\"38\"><p><strong>440<\/strong><\/p><\/td><td width=\"38\"><p><strong>550<\/strong><\/p><\/td><td width=\"38\"><p><strong>44<\/strong><\/p><\/td><td width=\"38\"><p><strong>176<\/strong><\/p><\/td><td width=\"28\"><p><strong>&#8211;<\/strong><\/p><\/td><\/tr><\/tbody><\/table><p>Note: Students are recommended to opt any TWO from MDDSE-1.5, MDDSE-1.6 OR MDDSE-1.7<\/p><p><strong>\u00a0<\/strong><\/p><table width=\"646\"><tbody><tr><td rowspan=\"2\" width=\"42\"><p><strong>Sem<\/strong><\/p><\/td><td rowspan=\"2\" width=\"99\"><p><strong>Course Code<\/strong><\/p><p><strong>\u00a0<\/strong><\/p><\/td><td rowspan=\"2\" width=\"198\"><p><strong>Course Title <\/strong><\/p><\/td><td rowspan=\"2\" width=\"38\"><p><strong>Credits<\/strong><\/p><\/td><td rowspan=\"2\" width=\"38\"><p><strong>Counseling\/PCP Hours <\/strong><\/p><\/td><td colspan=\"3\" width=\"123\"><p><strong>Max. Marks<\/strong><\/p><\/td><td colspan=\"2\" width=\"80\"><p><strong>Min. Passing Marks<\/strong><\/p><\/td><td rowspan=\"2\" width=\"28\"><p><strong>Duration of Exam<\/strong><\/p><\/td><\/tr><tr><td width=\"47\"><p><strong>Internal Assessment <\/strong><\/p><\/td><td width=\"38\"><p><strong>Term end exam<\/strong><\/p><\/td><td width=\"38\"><p><strong>Total Marks<\/strong><\/p><\/td><td width=\"38\"><p><strong>Internal Assessment<\/strong><\/p><\/td><td width=\"42\"><p><strong>Term end exam<\/strong><\/p><\/td><\/tr><tr><td rowspan=\"9\" width=\"42\"><p>II<\/p><\/td><td width=\"99\"><p>MDDSC-2.1<\/p><\/td><td width=\"198\"><p>Foundations of Data Science<\/p><\/td><td width=\"38\"><p>4<\/p><\/td><td width=\"38\"><p>12<\/p><\/td><td width=\"47\"><p>20<\/p><\/td><td width=\"38\"><p>80<\/p><\/td><td width=\"38\"><p>100<\/p><\/td><td width=\"38\"><p>08<\/p><\/td><td width=\"42\"><p>32<\/p><\/td><td width=\"28\"><p>3<\/p><\/td><\/tr><tr><td width=\"99\"><p>MDDSC-2.2<\/p><\/td><td width=\"198\"><p>Statistical Foundations and Inference<\/p><\/td><td width=\"38\"><p>4<\/p><\/td><td width=\"38\"><p>12<\/p><\/td><td width=\"47\"><p>20<\/p><\/td><td width=\"38\"><p>80<\/p><\/td><td width=\"38\"><p>100<\/p><\/td><td width=\"38\"><p>08<\/p><\/td><td width=\"42\"><p>32<\/p><\/td><td width=\"28\"><p>3<\/p><\/td><\/tr><tr><td width=\"99\"><p>MDDSC-2.3<\/p><\/td><td width=\"198\"><p>Foundations of Data Science Lab<\/p><\/td><td width=\"38\"><p>2<\/p><\/td><td width=\"38\"><p>60<\/p><\/td><td width=\"47\"><p>10<\/p><\/td><td width=\"38\"><p>40<\/p><\/td><td width=\"38\"><p>50<\/p><\/td><td width=\"38\"><p>04<\/p><\/td><td width=\"42\"><p>16<\/p><\/td><td width=\"28\"><p>3<\/p><\/td><\/tr><tr><td width=\"99\"><p>MDDSC-2.4<\/p><\/td><td width=\"198\"><p>Statistical Foundations and Inference Lab<\/p><\/td><td width=\"38\"><p>2<\/p><\/td><td width=\"38\"><p>60<\/p><\/td><td width=\"47\"><p>10<\/p><\/td><td width=\"38\"><p>40<\/p><\/td><td width=\"38\"><p>50<\/p><\/td><td width=\"38\"><p>04<\/p><\/td><td width=\"42\"><p>16<\/p><\/td><td width=\"28\"><p>3<\/p><\/td><\/tr><tr><td width=\"99\"><p>MDDSE-2.5<\/p><\/td><td width=\"198\"><p>Data Mining and Data Warehousing<\/p><\/td><td rowspan=\"2\" width=\"38\"><p>3<\/p><\/td><td rowspan=\"2\" width=\"38\"><p>09<\/p><\/td><td rowspan=\"2\" width=\"47\"><p>20<\/p><\/td><td rowspan=\"2\" width=\"38\"><p>80<\/p><\/td><td rowspan=\"2\" width=\"38\"><p>100<\/p><\/td><td rowspan=\"2\" width=\"38\"><p>08<\/p><\/td><td rowspan=\"2\" width=\"42\"><p>32<\/p><\/td><td rowspan=\"2\" width=\"28\"><p>\u00a0 3<\/p><\/td><\/tr><tr><td width=\"99\"><p>MDDSE-2.6<\/p><\/td><td width=\"198\"><p>Data Security and Privacy<\/p><\/td><\/tr><tr><td width=\"99\"><p>MDDSE-2.7<\/p><\/td><td width=\"198\"><p>Business Intelligence\u00a0<\/p><\/td><td width=\"38\"><p>3<\/p><\/td><td width=\"38\"><p>09<\/p><\/td><td width=\"47\"><p>20<\/p><\/td><td width=\"38\"><p>80<\/p><\/td><td width=\"38\"><p>100<\/p><\/td><td width=\"38\"><p>08<\/p><\/td><td width=\"42\"><p>32<\/p><\/td><td width=\"28\"><p>\u00a0 3<\/p><\/td><\/tr><tr><td width=\"99\"><p>ELMIT \u201302<\/p><\/td><td width=\"198\"><p>Interdisciplinary Elective-2<\/p><p>E-commerce<\/p><\/td><td width=\"38\"><p>2<\/p><\/td><td width=\"38\"><p>06<\/p><\/td><td width=\"47\"><p>10<\/p><\/td><td width=\"38\"><p>40<\/p><\/td><td width=\"38\"><p>50<\/p><\/td><td width=\"38\"><p>04<\/p><\/td><td width=\"42\"><p>16<\/p><\/td><td width=\"28\"><p>1<sup>1\/2<\/sup><\/p><\/td><\/tr><tr><td colspan=\"2\" width=\"297\"><p><strong>Total<\/strong><\/p><p><strong>\u00a0<\/strong><\/p><\/td><td width=\"38\"><p><strong>20<\/strong><\/p><\/td><td width=\"38\"><p><strong>168<\/strong><\/p><\/td><td width=\"47\"><p><strong>110<\/strong><\/p><\/td><td width=\"38\"><p><strong>440<\/strong><\/p><\/td><td width=\"38\"><p><strong>550<\/strong><\/p><\/td><td width=\"38\"><p><strong>44<\/strong><\/p><\/td><td width=\"42\"><p><strong>176<\/strong><\/p><\/td><td width=\"28\"><p><strong>&#8211;<\/strong><\/p><\/td><\/tr><\/tbody><\/table><p>Note: Students are recommended to opt any TWO from MDDSE-2.5, MDDSE-2.6 OR MDDSE-2.7<\/p><table width=\"637\"><tbody><tr><td rowspan=\"2\" width=\"38\"><p><strong>Sem<\/strong><\/p><\/td><td rowspan=\"2\" width=\"98\"><p><strong>Course<\/strong><\/p><p><strong>Code<\/strong><\/p><p><strong>\u00a0<\/strong><\/p><\/td><td rowspan=\"2\" width=\"170\"><p><strong>Course Title <\/strong><\/p><\/td><td rowspan=\"2\" width=\"47\"><p><strong>Credits<\/strong><\/p><\/td><td rowspan=\"2\" width=\"47\"><p><strong>Counseling\/PCP Hours <\/strong><\/p><\/td><td colspan=\"3\" width=\"113\"><p><strong>Max. Marks<\/strong><\/p><\/td><td colspan=\"2\" width=\"85\"><p><strong>Min. Passing Marks<\/strong><\/p><\/td><td rowspan=\"2\" width=\"38\"><p><strong>Duration of Exam<\/strong><\/p><\/td><\/tr><tr><td width=\"38\"><p><strong>Internal Assessment <\/strong><\/p><\/td><td width=\"38\"><p><strong>Term end exam<\/strong><\/p><\/td><td width=\"38\"><p><strong>Total Marks<\/strong><\/p><\/td><td width=\"47\"><p><strong>Internal Assessment<\/strong><\/p><\/td><td width=\"38\"><p><strong>Term end exam<\/strong><\/p><\/td><\/tr><tr><td rowspan=\"9\" width=\"38\"><p>III<\/p><\/td><td width=\"98\"><p>MDDSC-3.1<\/p><\/td><td width=\"170\"><p>Artificial Intelligence<\/p><\/td><td width=\"47\"><p>4<\/p><\/td><td width=\"47\"><p>12<\/p><\/td><td width=\"38\"><p>20<\/p><\/td><td width=\"38\"><p>80<\/p><\/td><td width=\"38\"><p>100<\/p><\/td><td width=\"47\"><p>08<\/p><\/td><td width=\"38\"><p>32<\/p><\/td><td width=\"38\"><p>3<\/p><\/td><\/tr><tr><td width=\"98\"><p>MDDSC-3.2<\/p><\/td><td width=\"170\"><p>Big Data Analytics<\/p><\/td><td width=\"47\"><p>4<\/p><\/td><td width=\"47\"><p>12<\/p><\/td><td width=\"38\"><p>20<\/p><\/td><td width=\"38\"><p>80<\/p><\/td><td width=\"38\"><p>100<\/p><\/td><td width=\"47\"><p>08<\/p><\/td><td width=\"38\"><p>32<\/p><\/td><td width=\"38\"><p>3<\/p><\/td><\/tr><tr><td width=\"98\"><p>MDDSC-3.3<\/p><\/td><td width=\"170\"><p>Artificial Intelligence Lab<\/p><\/td><td width=\"47\"><p>2<\/p><\/td><td width=\"47\"><p>60<\/p><\/td><td width=\"38\"><p>10<\/p><\/td><td width=\"38\"><p>40<\/p><\/td><td width=\"38\"><p>50<\/p><\/td><td width=\"47\"><p>04<\/p><\/td><td width=\"38\"><p>16<\/p><\/td><td width=\"38\"><p>3<\/p><\/td><\/tr><tr><td width=\"98\"><p>MDDSC-3.4<\/p><\/td><td width=\"170\"><p>Big Data Analytics Lab<\/p><\/td><td width=\"47\"><p>2<\/p><\/td><td width=\"47\"><p>60<\/p><\/td><td width=\"38\"><p>10<\/p><\/td><td width=\"38\"><p>40<\/p><\/td><td width=\"38\"><p>50<\/p><\/td><td width=\"47\"><p>04<\/p><\/td><td width=\"38\"><p>16<\/p><\/td><td width=\"38\"><p>3<\/p><\/td><\/tr><tr><td width=\"98\"><p>MDDSE-3.5<\/p><\/td><td width=\"170\"><p>Cloud Computing<\/p><\/td><td rowspan=\"2\" width=\"47\"><p>3<\/p><\/td><td rowspan=\"2\" width=\"47\"><p>09<\/p><\/td><td rowspan=\"2\" width=\"38\"><p>20<\/p><\/td><td rowspan=\"2\" width=\"38\"><p>80<\/p><\/td><td rowspan=\"2\" width=\"38\"><p>100<\/p><\/td><td rowspan=\"2\" width=\"47\"><p>08<\/p><\/td><td rowspan=\"2\" width=\"38\"><p>32<\/p><\/td><td rowspan=\"2\" width=\"38\"><p>\u00a03<\/p><\/td><\/tr><tr><td width=\"98\"><p>MDDSE-3.6<\/p><\/td><td width=\"170\"><p>Social Network Analysis<\/p><\/td><\/tr><tr><td width=\"98\"><p>MDDSE-3.7<\/p><\/td><td width=\"170\"><p>Internet of Things<\/p><\/td><td width=\"47\"><p>3<\/p><\/td><td width=\"47\"><p>09<\/p><\/td><td width=\"38\"><p>20<\/p><\/td><td width=\"38\"><p>80<\/p><\/td><td width=\"38\"><p>100<\/p><\/td><td width=\"47\"><p>08<\/p><\/td><td width=\"38\"><p>32<\/p><\/td><td width=\"38\"><p>3<\/p><\/td><\/tr><tr><td width=\"98\"><p>MDSEC-1<\/p><\/td><td width=\"170\"><p>R Programming<\/p><\/td><td width=\"47\"><p>2<\/p><\/td><td width=\"47\"><p>06<\/p><\/td><td width=\"38\"><p>10<\/p><\/td><td width=\"38\"><p>40<\/p><\/td><td width=\"38\"><p>50<\/p><\/td><td width=\"47\"><p>04<\/p><\/td><td width=\"38\"><p>16<\/p><\/td><td width=\"38\"><p>1<sup>1\/2<\/sup><\/p><\/td><\/tr><tr><td colspan=\"2\" width=\"268\"><p><strong>Total<\/strong><\/p><\/td><td width=\"47\"><p><strong>20<\/strong><\/p><\/td><td width=\"47\"><p><strong>168<\/strong><\/p><\/td><td width=\"38\"><p><strong>110<\/strong><\/p><\/td><td width=\"38\"><p><strong>440<\/strong><\/p><\/td><td width=\"38\"><p><strong>550<\/strong><\/p><\/td><td width=\"47\"><p><strong>44<\/strong><\/p><\/td><td width=\"38\"><p><strong>176<\/strong><\/p><\/td><td width=\"38\"><p><strong>&#8211;<\/strong><\/p><\/td><\/tr><\/tbody><\/table><p>\u00a0\u00a0\u00a0\u00a0 Note: Students are recommended to opt any TWO from MDDSE-3.5, MDDSE-3.6 OR \u00a0\u00a0\u00a0MDDSE-3.7<\/p><table width=\"644\"><tbody><tr><td rowspan=\"2\" width=\"45\"><p><strong>Sem<\/strong><\/p><\/td><td rowspan=\"2\" width=\"106\"><p><strong>Course Code<\/strong><\/p><p><strong>\u00a0<\/strong><\/p><\/td><td rowspan=\"2\" width=\"190\"><p><strong>Course Title <\/strong><\/p><\/td><td rowspan=\"2\" width=\"38\"><p><strong>Credits<\/strong><\/p><\/td><td rowspan=\"2\" width=\"38\"><p><strong>Counseling\/PCP Hours <\/strong><\/p><\/td><td colspan=\"3\" width=\"123\"><p><strong>Max. Marks<\/strong><\/p><\/td><td colspan=\"2\" width=\"72\"><p><strong>Min. Passing Marks<\/strong><\/p><\/td><td rowspan=\"2\" width=\"33\"><p><strong>Duration of Exam<\/strong><\/p><\/td><\/tr><tr><td width=\"38\"><p><strong>Internal Assessment <\/strong><\/p><\/td><td width=\"47\"><p><strong>Term end exam<\/strong><\/p><\/td><td width=\"38\"><p><strong>Total Marks<\/strong><\/p><\/td><td width=\"39\"><p><strong>Internal Assessment<\/strong><\/p><\/td><td width=\"33\"><p><strong>Term end exam<\/strong><\/p><\/td><\/tr><tr><td rowspan=\"8\" width=\"45\"><p>IV<\/p><\/td><td width=\"106\"><p>MDDSC-4.1<\/p><\/td><td width=\"190\"><p>Machine Learning.<\/p><\/td><td width=\"38\"><p>4<\/p><\/td><td width=\"38\"><p>12<\/p><\/td><td width=\"38\"><p>20<\/p><\/td><td width=\"47\"><p>80<\/p><\/td><td width=\"38\"><p>100<\/p><\/td><td width=\"39\"><p>08<\/p><\/td><td width=\"33\"><p>32<\/p><\/td><td width=\"33\"><p>3<\/p><\/td><\/tr><tr><td width=\"106\"><p>MDDSC-4.2<\/p><\/td><td width=\"190\"><p>Managerial and Entrepreneurship for Data Scientist<\/p><\/td><td width=\"38\"><p>3<\/p><\/td><td width=\"38\"><p>09<\/p><\/td><td width=\"38\"><p>20<\/p><\/td><td width=\"47\"><p>80<\/p><\/td><td width=\"38\"><p>100<\/p><\/td><td width=\"39\"><p>08<\/p><\/td><td width=\"33\"><p>32<\/p><\/td><td width=\"33\"><p>3<\/p><\/td><\/tr><tr><td width=\"106\"><p>MDDSC-4.3<\/p><\/td><td width=\"190\"><p>Machine Learning Lab<\/p><\/td><td width=\"38\"><p>2<\/p><\/td><td width=\"38\"><p>60<\/p><\/td><td width=\"38\"><p>10<\/p><\/td><td width=\"47\"><p>40<\/p><\/td><td width=\"38\"><p>50<\/p><\/td><td width=\"39\"><p>04<\/p><\/td><td width=\"33\"><p>16<\/p><\/td><td width=\"33\"><p>3<\/p><\/td><\/tr><tr><td width=\"106\"><p>MDDSC-4.4<\/p><\/td><td width=\"190\"><p>Dissertation<\/p><\/td><td width=\"38\"><p>8<\/p><\/td><td width=\"38\"><p>240<\/p><\/td><td width=\"38\"><p>30<\/p><\/td><td width=\"47\"><p>120<\/p><\/td><td width=\"38\"><p>150<\/p><\/td><td width=\"39\"><p>12<\/p><\/td><td width=\"33\"><p>48<\/p><\/td><td width=\"33\"><p>3<\/p><\/td><\/tr><tr><td width=\"106\"><p>MDDSE-4.5<\/p><\/td><td width=\"190\"><p>Deep Learning<\/p><\/td><td rowspan=\"2\" width=\"38\"><p>3<\/p><\/td><td rowspan=\"2\" width=\"38\"><p>\u00a0 09<\/p><\/td><td rowspan=\"2\" width=\"38\"><p>20<\/p><\/td><td rowspan=\"2\" width=\"47\"><p>80<\/p><\/td><td rowspan=\"2\" width=\"38\"><p>100<\/p><\/td><td rowspan=\"2\" width=\"39\"><p>08<\/p><\/td><td rowspan=\"2\" width=\"33\"><p>32<\/p><\/td><td rowspan=\"2\" width=\"33\"><p>3<\/p><\/td><\/tr><tr><td width=\"106\"><p>MDDSE-4.6<\/p><\/td><td width=\"190\"><p>Predictive Analysis<\/p><\/td><\/tr><tr><td width=\"106\"><p>MDSEC-2<\/p><\/td><td width=\"190\"><p>Tableau<\/p><\/td><td width=\"38\"><p>2<\/p><\/td><td width=\"38\"><p>06<\/p><\/td><td width=\"38\"><p>10<\/p><\/td><td width=\"47\"><p>40<\/p><\/td><td width=\"38\"><p>50<\/p><\/td><td width=\"39\"><p>04<\/p><\/td><td width=\"33\"><p>16<\/p><\/td><td width=\"33\"><p>1<sup>1\/2<\/sup><\/p><\/td><\/tr><tr><td colspan=\"2\" width=\"296\"><p><strong>Total<\/strong><\/p><\/td><td width=\"38\"><p><strong>22<\/strong><\/p><\/td><td width=\"38\"><p><strong>336<\/strong><\/p><\/td><td width=\"38\"><p><strong>110<\/strong><\/p><\/td><td width=\"47\"><p><strong>440<\/strong><\/p><\/td><td width=\"38\"><p><strong>550<\/strong><\/p><\/td><td width=\"39\"><p><strong>44<\/strong><\/p><\/td><td width=\"33\"><p><strong>176<\/strong><\/p><\/td><td width=\"33\"><p>&#8211;<\/p><\/td><\/tr><\/tbody><\/table><p>\u00a0\u00a0\u00a0 Note: Students are recommended to opt any ONE from MDDSE-4.5 OR MDDSE-4.6<\/p><p>\u00a0\u00a0\u00a0 MDDSC-4.4- Dissertation\/Project work (Implementation).<\/p><p>\u00a0\u00a0\u00a0\u00a0\u00a0 * Viva-voce is a compulsory component of Dissertation<\/p><p><strong>\u00a0\u00a0 DSC: Discipline Specific Core; DSE: Discipline Specific Elective; SEC: Skill Enhancement \u00a0\u00a0<\/strong><\/p><p><strong>\u00a0\u00a0 Course<\/strong><\/p><p><strong>\u00a0\u00a0 Note: <\/strong>Course exemption- 40% marks including the Internal Assessment<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>MSc Data Science Home MSc Data Science Eligibility Conditions (Graduates from recognized University) \u00a0Graduates in BCA \/B.Sc (IT\/CS\/IS)\/ AMIE\/ BE [&hellip;]<\/p>\n","protected":false},"author":4,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"site-sidebar-layout":"no-sidebar","site-content-layout":"","ast-site-content-layout":"full-width-container","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"disabled","ast-breadcrumbs-content":"","ast-featured-img":"disabled","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"footnotes":""},"class_list":["post-14033","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.ksoumysuru.ac.in\/index.php\/wp-json\/wp\/v2\/pages\/14033","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.ksoumysuru.ac.in\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.ksoumysuru.ac.in\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.ksoumysuru.ac.in\/index.php\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/www.ksoumysuru.ac.in\/index.php\/wp-json\/wp\/v2\/comments?post=14033"}],"version-history":[{"count":10,"href":"https:\/\/www.ksoumysuru.ac.in\/index.php\/wp-json\/wp\/v2\/pages\/14033\/revisions"}],"predecessor-version":[{"id":14053,"href":"https:\/\/www.ksoumysuru.ac.in\/index.php\/wp-json\/wp\/v2\/pages\/14033\/revisions\/14053"}],"wp:attachment":[{"href":"https:\/\/www.ksoumysuru.ac.in\/index.php\/wp-json\/wp\/v2\/media?parent=14033"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}