{"id":3410,"date":"2024-10-17T13:44:27","date_gmt":"2024-10-17T13:44:27","guid":{"rendered":"https:\/\/nepttp.avidakizomba.co.za\/?page_id=3410"},"modified":"2025-01-10T15:59:46","modified_gmt":"2025-01-10T13:59:46","slug":"about-us","status":"publish","type":"page","link":"https:\/\/www.escience.ac.za\/index.php\/about-us\/","title":{"rendered":"About Us"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"3410\" class=\"elementor elementor-3410\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-3de753b elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"3de753b\" data-element_type=\"section\">\n\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-692b578\" data-id=\"692b578\" 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-51dc3bc elementor-widget elementor-widget-slider_revolution\" data-id=\"51dc3bc\" data-element_type=\"widget\" data-widget_type=\"slider_revolution.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\r\n\t\t<div class=\"wp-block-themepunch-revslider\">\n\t\t\t<!-- START About Us REVOLUTION SLIDER 6.3.9 --><p class=\"rs-p-wp-fix\"><\/p>\n\t\t\t<rs-module-wrap id=\"rev_slider_7_1_wrapper\" data-source=\"gallery\" style=\"background:transparent;padding:0;margin:0px auto;margin-top:0;margin-bottom:0;\">\n\t\t\t\t<rs-module id=\"rev_slider_7_1\" style=\"\" data-version=\"6.3.9\">\n\t\t\t\t\t<rs-slides>\n\t\t\t\t\t\t<rs-slide data-key=\"rs-7\" data-title=\"Home\" data-anim=\"ei:d;eo:d;s:1000;r:0;t:fade;sl:0;\">\n\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" src=\"\/\/www.escience.ac.za\/wp-content\/uploads\/2024\/11\/Slider-BG-Template-About-Us-OCT.jpg\" title=\"Slider BG Template About Us OCT\" width=\"1920\" height=\"296\" data-bg=\"p:center top;\" class=\"rev-slidebg\" data-no-retina>\n<!--\n\t\t\t\t\t\t\t--><a\n\t\t\t\t\t\t\t\tid=\"slider-7-slide-7-layer-0\" \n\t\t\t\t\t\t\t\tclass=\"rs-layer rev-btn icon-right rev-btn\"\n\t\t\t\t\t\t\t\thref=\"https:\/\/www.escience.ac.za\/index.php\/about-us\/\" target=\"_self\" rel=\"nofollow\"\n\t\t\t\t\t\t\t\tdata-type=\"button\"\n\t\t\t\t\t\t\t\tdata-xy=\"x:c;xo:-84px,0,-84px,-86px;yo:207px,502px,502px,297px;\"\n\t\t\t\t\t\t\t\tdata-text=\"w:normal;s:14,18,18,12;l:65;fw:500;\"\n\t\t\t\t\t\t\t\tdata-dim=\"minh:0px,none,0px,none;\"\n\t\t\t\t\t\t\t\tdata-rsp_bd=\"off\"\n\t\t\t\t\t\t\t\tdata-padding=\"r:20,30,30,10;l:20,30,30,10;\"\n\t\t\t\t\t\t\t\tdata-border=\"bor:3px,3px,3px,3px;\"\n\t\t\t\t\t\t\t\tdata-frame_0=\"y:50,43,43,19;\"\n\t\t\t\t\t\t\t\tdata-frame_1=\"st:900;sp:1000;\"\n\t\t\t\t\t\t\t\tdata-frame_999=\"o:0;st:w;\"\n\t\t\t\t\t\t\t\tdata-frame_hover=\"bgc:#485d57;bor:3px,3px,3px,3px;sp:100;e:power1.inOut;bri:100%;\"\n\t\t\t\t\t\t\t\tstyle=\"z-index:12;background-color:#485d57;font-family:Roboto;\"\n\t\t\t\t\t\t\t>About Us \n\t\t\t\t\t\t\t<\/a><!--\n\n\t\t\t\t\t\t\t--><a\n\t\t\t\t\t\t\t\tid=\"slider-7-slide-7-layer-3\" \n\t\t\t\t\t\t\t\tclass=\"rs-layer rev-btn icon-right rev-btn\"\n\t\t\t\t\t\t\t\thref=\"https:\/\/www.escience.ac.za\/index.php\/contact\/\" target=\"_self\" rel=\"nofollow\"\n\t\t\t\t\t\t\t\tdata-type=\"button\"\n\t\t\t\t\t\t\t\tdata-xy=\"x:r;xo:348px,0,348px,30px;yo:207px,502px,502px,298px;\"\n\t\t\t\t\t\t\t\tdata-text=\"w:normal;s:14,18,18,12;l:65;fw:500;\"\n\t\t\t\t\t\t\t\tdata-dim=\"minh:0px,none,0px,none;\"\n\t\t\t\t\t\t\t\tdata-rsp_bd=\"off\"\n\t\t\t\t\t\t\t\tdata-padding=\"r:20,30,30,10;l:20,30,30,10;\"\n\t\t\t\t\t\t\t\tdata-border=\"bor:3px,3px,3px,3px;\"\n\t\t\t\t\t\t\t\tdata-frame_0=\"y:50,43,43,19;\"\n\t\t\t\t\t\t\t\tdata-frame_1=\"st:900;sp:1000;\"\n\t\t\t\t\t\t\t\tdata-frame_999=\"o:0;st:w;\"\n\t\t\t\t\t\t\t\tdata-frame_hover=\"bgc:#485d57;bor:3px,3px,3px,3px;sp:100;e:power1.inOut;bri:100%;\"\n\t\t\t\t\t\t\t\tstyle=\"z-index:13;background-color:#70984b;font-family:Roboto;\"\n\t\t\t\t\t\t\t>Contact Us \n\t\t\t\t\t\t\t<\/a><!--\n\n\t\t\t\t\t\t\t--><rs-layer\n\t\t\t\t\t\t\t\tid=\"slider-7-slide-7-layer-4\" \n\t\t\t\t\t\t\t\tdata-type=\"shape\"\n\t\t\t\t\t\t\t\tdata-rsp_ch=\"on\"\n\t\t\t\t\t\t\t\tdata-xy=\"x:c;\"\n\t\t\t\t\t\t\t\tdata-text=\"w:normal;s:20,17,17,7;l:0,21,21,9;\"\n\t\t\t\t\t\t\t\tdata-dim=\"w:4000px,3500px,3500px,1640px;h:254px,222px,222px,700px;\"\n\t\t\t\t\t\t\t\tdata-border=\"bor:40px,40px,40px,40px;\"\n\t\t\t\t\t\t\t\tdata-frame_999=\"o:0;st:w;\"\n\t\t\t\t\t\t\t\tstyle=\"z-index:9;background:linear-gradient(rgba(2,2,2,0.7) 0%, rgba(66,66,66,0.7) 30%, rgba(215,215,215,0) 100%);\"\n\t\t\t\t\t\t\t> \n\t\t\t\t\t\t\t<\/rs-layer><!--\n\n\t\t\t\t\t\t\t--><a\n\t\t\t\t\t\t\t\tid=\"slider-7-slide-7-layer-5\" \n\t\t\t\t\t\t\t\tclass=\"rs-layer\"\n\t\t\t\t\t\t\t\thref=\"https:\/\/www.escience.ac.za\/\" target=\"_self\"\n\t\t\t\t\t\t\t\tdata-type=\"image\"\n\t\t\t\t\t\t\t\tdata-rsp_ch=\"on\"\n\t\t\t\t\t\t\t\tdata-xy=\"x:c;yo:20px,17px,17px,69px;\"\n\t\t\t\t\t\t\t\tdata-text=\"w:normal;s:20,17,17,7;l:0,21,21,9;\"\n\t\t\t\t\t\t\t\tdata-dim=\"w:313px,273px,273px,370px;h:155px,135px,135px,183px;\"\n\t\t\t\t\t\t\t\tdata-frame_999=\"o:0;st:w;\"\n\t\t\t\t\t\t\t\tstyle=\"z-index:14;\"\n\t\t\t\t\t\t\t><img decoding=\"async\" src=\"\/\/www.escience.ac.za\/wp-content\/uploads\/2024\/10\/escience-logo-16-July-2018-WHITE-Vectorise.png\" width=\"817\" height=\"404\" data-no-retina> \n\t\t\t\t\t\t\t<\/a><!--\n\n\t\t\t\t\t\t\t--><rs-layer\n\t\t\t\t\t\t\t\tid=\"slider-7-slide-7-layer-6\" \n\t\t\t\t\t\t\t\tdata-type=\"shape\"\n\t\t\t\t\t\t\t\tdata-rsp_ch=\"on\"\n\t\t\t\t\t\t\t\tdata-xy=\"x:c;\"\n\t\t\t\t\t\t\t\tdata-text=\"w:normal;s:20,17,17,7;l:0,21,21,9;\"\n\t\t\t\t\t\t\t\tdata-dim=\"w:4000px,3500px,3500px,1640px;h:2400,2100,2100,984;\"\n\t\t\t\t\t\t\t\tdata-blendmode=\"multiply\"\n\t\t\t\t\t\t\t\tdata-frame_999=\"o:0;st:w;\"\n\t\t\t\t\t\t\t\tstyle=\"z-index:8;background-color:rgba(255,255,255,0.5);\"\n\t\t\t\t\t\t\t> \n\t\t\t\t\t\t\t<\/rs-layer><!--\n\n\t\t\t\t\t\t\t--><a\n\t\t\t\t\t\t\t\tid=\"slider-7-slide-7-layer-7\" \n\t\t\t\t\t\t\t\tclass=\"rs-layer rev-btn icon-right rev-btn\"\n\t\t\t\t\t\t\t\thref=\"https:\/\/www.escience.ac.za\/index.php\/our-institutions\/\" target=\"_self\" rel=\"nofollow\"\n\t\t\t\t\t\t\t\tdata-type=\"button\"\n\t\t\t\t\t\t\t\tdata-xy=\"x:c;xo:46px,0,46px,35px;yo:207px,502px,502px,298px;\"\n\t\t\t\t\t\t\t\tdata-text=\"w:normal;s:14,18,18,12;l:65;fw:500;\"\n\t\t\t\t\t\t\t\tdata-dim=\"minh:0px,none,0px,none;\"\n\t\t\t\t\t\t\t\tdata-rsp_bd=\"off\"\n\t\t\t\t\t\t\t\tdata-padding=\"r:20,30,30,10;l:20,30,30,10;\"\n\t\t\t\t\t\t\t\tdata-border=\"bor:3px,3px,3px,3px;\"\n\t\t\t\t\t\t\t\tdata-frame_0=\"y:50,43,43,19;\"\n\t\t\t\t\t\t\t\tdata-frame_1=\"st:900;sp:1000;\"\n\t\t\t\t\t\t\t\tdata-frame_999=\"o:0;st:w;\"\n\t\t\t\t\t\t\t\tdata-frame_hover=\"bgc:#485d57;bor:3px,3px,3px,3px;sp:100;e:power1.inOut;bri:100%;\"\n\t\t\t\t\t\t\t\tstyle=\"z-index:10;background-color:#70984b;font-family:Roboto;\"\n\t\t\t\t\t\t\t>Our Institutions \n\t\t\t\t\t\t\t<\/a><!--\n\n\t\t\t\t\t\t\t--><a\n\t\t\t\t\t\t\t\tid=\"slider-7-slide-7-layer-8\" \n\t\t\t\t\t\t\t\tclass=\"rs-layer rev-btn icon-right rev-btn\"\n\t\t\t\t\t\t\t\thref=\"https:\/\/www.escience.ac.za\/\" target=\"_self\" rel=\"nofollow\"\n\t\t\t\t\t\t\t\tdata-type=\"button\"\n\t\t\t\t\t\t\t\tdata-xy=\"xo:360px,0,360px,30px;yo:207px,502px,502px,298px;\"\n\t\t\t\t\t\t\t\tdata-text=\"w:normal;s:14,18,18,12;l:65;fw:500;\"\n\t\t\t\t\t\t\t\tdata-dim=\"minh:0px,none,0px,none;\"\n\t\t\t\t\t\t\t\tdata-rsp_bd=\"off\"\n\t\t\t\t\t\t\t\tdata-padding=\"r:20,30,30,10;l:20,30,30,10;\"\n\t\t\t\t\t\t\t\tdata-border=\"bor:3px,3px,3px,3px;\"\n\t\t\t\t\t\t\t\tdata-frame_0=\"y:50,43,43,19;\"\n\t\t\t\t\t\t\t\tdata-frame_1=\"st:900;sp:1000;\"\n\t\t\t\t\t\t\t\tdata-frame_999=\"o:0;st:w;\"\n\t\t\t\t\t\t\t\tdata-frame_hover=\"bgc:#485d57;bor:3px,3px,3px,3px;sp:100;e:power1.inOut;bri:100%;\"\n\t\t\t\t\t\t\t\tstyle=\"z-index:11;background-color:#70984b;font-family:Roboto;\"\n\t\t\t\t\t\t\t>Home \n\t\t\t\t\t\t\t<\/a><!--\n-->\t\t\t\t\t\t<\/rs-slide>\n\t\t\t\t\t<\/rs-slides>\n\t\t\t\t\t<rs-static-layers><!--\n\t\t\t\t\t--><\/rs-static-layers>\n\t\t\t\t<\/rs-module>\n\t\t\t\t<script type=\"text\/javascript\">\n\t\t\t\t\tsetREVStartSize({c: 'rev_slider_7_1',rl:[1240,1024,1024,480],el:[300,600,600,740],gw:[1170,1024,1024,480],gh:[300,600,600,740],type:'standard',justify:'',layout:'fullwidth',mh:\"0\"});\n\t\t\t\t\tvar\trevapi7,\n\t\t\t\t\t\ttpj;\n\t\t\t\t\tfunction revinit_revslider71() {\n\t\t\t\t\tjQuery(function() {\n\t\t\t\t\t\ttpj = jQuery;\n\t\t\t\t\t\trevapi7 = tpj(\"#rev_slider_7_1\");\n\t\t\t\t\t\tif(revapi7==undefined || revapi7.revolution == undefined){\n\t\t\t\t\t\t\trevslider_showDoubleJqueryError(\"rev_slider_7_1\");\n\t\t\t\t\t\t}else{\n\t\t\t\t\t\t\trevapi7.revolution({\n\t\t\t\t\t\t\t\tsliderLayout:\"fullwidth\",\n\t\t\t\t\t\t\t\tvisibilityLevels:\"1240,1024,1024,480\",\n\t\t\t\t\t\t\t\tgridwidth:\"1170,1024,1024,480\",\n\t\t\t\t\t\t\t\tgridheight:\"300,600,600,740\",\n\t\t\t\t\t\t\t\tspinner:\"spinner0\",\n\t\t\t\t\t\t\t\tperspective:600,\n\t\t\t\t\t\t\t\tperspectiveType:\"local\",\n\t\t\t\t\t\t\t\teditorheight:\"300,600,960,740\",\n\t\t\t\t\t\t\t\tresponsiveLevels:\"1240,1024,1024,480\",\n\t\t\t\t\t\t\t\tprogressBar:{disableProgressBar:true},\n\t\t\t\t\t\t\t\tnavigation: {\n\t\t\t\t\t\t\t\t\tonHoverStop:false\n\t\t\t\t\t\t\t\t},\n\t\t\t\t\t\t\t\tfallbacks: {\n\t\t\t\t\t\t\t\t\tallowHTML5AutoPlayOnAndroid:true\n\t\t\t\t\t\t\t\t},\n\t\t\t\t\t\t\t});\n\t\t\t\t\t\t}\n\t\t\t\t\t\t\n\t\t\t\t\t});\n\t\t\t\t\t} \/\/ End of RevInitScript\n\t\t\t\tvar once_revslider71 = false;\n\t\t\t\tif (document.readyState === \"loading\") {document.addEventListener('readystatechange',function() { if((document.readyState === \"interactive\" || document.readyState === \"complete\") && !once_revslider71 ) { once_revslider71 = true; revinit_revslider71();}});} else {once_revslider71 = true; revinit_revslider71();}\n\t\t\t\t<\/script>\n\t\t\t<\/rs-module-wrap>\n\t\t\t<!-- END REVOLUTION SLIDER -->\n<\/div>\r\n\r\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\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-5f5e897 elementor-section-full_width elementor-section-stretched elementor-section-height-default elementor-section-height-default\" data-id=\"5f5e897\" data-element_type=\"section\" data-settings=\"{&quot;stretch_section&quot;:&quot;section-stretched&quot;,&quot;background_background&quot;:&quot;classic&quot;}\">\n\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-0077c55\" data-id=\"0077c55\" 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-debb5be elementor-widget elementor-widget-heading\" data-id=\"debb5be\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">About Us<\/h2>\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\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-8d6d1f4 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"8d6d1f4\" data-element_type=\"section\">\n\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-5f0e8e7\" data-id=\"5f0e8e7\" 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-aa70f3b elementor-widget elementor-widget-text-editor\" data-id=\"aa70f3b\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>The DSTI-NICIS National e-Science Postgraduate Teaching and Training Platform (NEPTTP) was launched in 2017 after the Department of Science, Technology, and Innovation (DSTI) identified the need to establish a multi-institutional consortium in data science in South Africa. This platform exists to develop human capital, with the knowledge and skills to conduct cutting-edge research in the field of e-Science \u2013 in line with the South African Research Infrastructure Roadmap (SARIR), the Square Kilometre Array (SKA) and others. The platform offers both MSc and MA degrees.<\/p><p>The DSTI, through the National Integrated Cyber Infrastructure System (NICIS), funds the platform which comprises six universities. The University of the Witwatersrand is the administrative hub of the consortium that includes the Universities of Limpopo, Pretoria and Venda as well as North-West University and Sol Plaatje University.<\/p><p><a href=\"https:\/\/www.spu.ac.za\/\">Sol Plaatje University<\/a>\u00a0(SPU),\u00a0<a href=\"https:\/\/www.ul.ac.za\/\">University of Limpopo<\/a>\u00a0(UL),\u00a0<a href=\"https:\/\/www.up.ac.za\/\">University of Pretoria<\/a>\u00a0(UP),\u00a0<a href=\"https:\/\/www.univen.ac.za\/\">University of Venda<\/a> (UniVen) all offer the Master of Science degree and the <a href=\"https:\/\/www.wits.ac.za\/\">University of the Witwatersrand, Johannesburg<\/a> (Wits) offers both the Master of Science\u00a0as well as the\u00a0Master of Arts\u00a0and <a href=\"https:\/\/www.nwu.ac.za\/\">North-West University<\/a> (NWU) offers the\u00a0Master of Arts.<\/p><p>These programmes are unique because they traverse faculties \u2013 students come from disciplines including Computer Science, Mathematics, Applied Mathematics, Actuarial Sciences, Physics, Statistics, Engineering, Social Sciences, and Public Health.<\/p><p>\u201cWe foresee the demand for such degrees increasing exponentially over the next few years,\u201d says Benjamin Rosman, NEPTTP Director and Professor in the School of Computer Science and Applied Mathematics at Wits.<\/p><p>Our graduates are being employed at well-known organisations all over Africa including Absa Group, Amend.org, CSIR, Deloitte, IBM, Rand Merchant Bank, Standard Bank, amongst others.<\/p>\t\t\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-874c118 e-flex e-con-boxed e-con e-parent\" data-id=\"874c118\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c0460ab elementor-widget elementor-widget-accordion\" data-id=\"c0460ab\" data-element_type=\"widget\" data-widget_type=\"accordion.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-accordion\">\n\t\t\t\t\t\t\t<div class=\"elementor-accordion-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-2011\" class=\"elementor-tab-title\" data-tab=\"1\" role=\"button\" aria-controls=\"elementor-tab-content-2011\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon elementor-accordion-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-closed\"><svg class=\"e-font-icon-svg e-fas-chevron-down\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M207.029 381.476L12.686 187.132c-9.373-9.373-9.373-24.569 0-33.941l22.667-22.667c9.357-9.357 24.522-9.375 33.901-.04L224 284.505l154.745-154.021c9.379-9.335 24.544-9.317 33.901.04l22.667 22.667c9.373 9.373 9.373 24.569 0 33.941L240.971 381.476c-9.373 9.372-24.569 9.372-33.942 0z\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-opened\"><svg class=\"e-font-icon-svg e-fas-chevron-up\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M240.971 130.524l194.343 194.343c9.373 9.373 9.373 24.569 0 33.941l-22.667 22.667c-9.357 9.357-24.522 9.375-33.901.04L224 227.495 69.255 381.516c-9.379 9.335-24.544 9.317-33.901-.04l-22.667-22.667c-9.373-9.373-9.373-24.569 0-33.941L207.03 130.525c9.372-9.373 24.568-9.373 33.941-.001z\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-accordion-title\" tabindex=\"0\">Entry requirements and Prerequisites<\/a>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-2011\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"1\" role=\"region\" aria-labelledby=\"elementor-tab-title-2011\"><p><strong>Entry Requirements<\/strong><\/p><p>Applicants are required to have a Bachelor with Honours degree (NQF level 8 qualification) from a relevant discipline in Science or Engineering (Computer Science, Mathematics, Physics, and Statistics) OR a relevant NQF level 8 qualification or a relevant Professional Engineering Degree with demonstrable knowledge of basic principles of Computing, Calculus, Linear Algebra, Probability and Statistics. Applicants require a minimum of 65 percent in their NQF level 8 qualification and fulfill any additional institutional application requirements of the institution through which they are applying, and must be co-approved by the Consortium.<\/p><p>Applicants will also be required to complete a number of pre-requisite on-line courses.<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-accordion-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-2012\" class=\"elementor-tab-title\" data-tab=\"2\" role=\"button\" aria-controls=\"elementor-tab-content-2012\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon elementor-accordion-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-closed\"><svg class=\"e-font-icon-svg e-fas-chevron-down\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M207.029 381.476L12.686 187.132c-9.373-9.373-9.373-24.569 0-33.941l22.667-22.667c9.357-9.357 24.522-9.375 33.901-.04L224 284.505l154.745-154.021c9.379-9.335 24.544-9.317 33.901.04l22.667 22.667c9.373 9.373 9.373 24.569 0 33.941L240.971 381.476c-9.373 9.372-24.569 9.372-33.942 0z\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-opened\"><svg class=\"e-font-icon-svg e-fas-chevron-up\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M240.971 130.524l194.343 194.343c9.373 9.373 9.373 24.569 0 33.941l-22.667 22.667c-9.357 9.357-24.522 9.375-33.901.04L224 227.495 69.255 381.516c-9.379 9.335-24.544 9.317-33.901-.04l-22.667-22.667c-9.373-9.373-9.373-24.569 0-33.941L207.03 130.525c9.372-9.373 24.568-9.373 33.941-.001z\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-accordion-title\" tabindex=\"0\">Degree Information<\/a>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-2012\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"2\" role=\"region\" aria-labelledby=\"elementor-tab-title-2012\"><p>This Masters programme aims to train postgraduate students in computational, mathematical and statistical methods to solve data-driven problems. The programme will create opportunities for students in the Computer Science, Statistics, Physics, Electrical Engineering or related fields to gain an interdisciplinary perspective on the emerging fields of Data Science.<\/p><p>This programme forms part of the DSTI-funded National e-Science Postgraduate Teaching and Training Platform (NEPTTP). Students will register with their Home Institution but will attend coursework at Wits University in Johannesburg, Gauteng, in the first year. On completion of the coursework modules, students will move back to their Home Institutions for their second year of study.<\/p><p><strong>Degree Information<\/strong><\/p><p>The Masters programme extends over eighteen to twenty-four months of full-time study. The programme comprises compulsory and elective modules. Cross-disciplinary data-driven projects are offered both within the University and from a wide range of industry partners. A candidate must undertake modules to the value of 180 credits and must successfully complete the following courses to obtain a Master of Science by <i>Coursework and<\/i> <i>Research Report<\/i> in the field of e-Science.<\/p><p><strong>Coursework Modules (Year 1 at Wits University)<\/strong><\/p><p><strong>2 Compulsory Courses<\/strong><\/p><ul><li><em>Research Methods and Capstone Project in Data Science (15 credits)<\/em><br \/>This course gives the students the theoretical and practical skills to plan, conduct, analyse and present a scientific assignment (Capstone Project) in the area of Data Science by introducing them to research methodology, ethics and sustainability. The course is comprised of three parts: 1) scientific writing; 2) research methodology; and 3) scientific assignment. These three parts are integrated in a capstone project.<\/li><li><em>Data Privacy and Ethics (15 credits)<\/em><br \/>This course introduces the students to the ethical and legal foundations of data science governance. The topics covered include technical processes of data collection, storage, exchange and access; ethical aspects of data management; legal and regulatory frameworks in South Africa and in relevant jurisdictions; data policy; data privacy; data ownership; legal liabilities of analytical decisions, and discrimination; algorithms and technical approaches to enhance data privacy; and relevant case studies.<\/li><\/ul><p><strong>Any 4 Elective Course on Offer<\/strong><\/p><ul><li><em>Adaptive Computation and Machine Learning (15 credits)<\/em><br \/>This course provides the candidate with an in\u2212depth understanding of adaptive computing and machine learning. The course consists of machine learning, pattern recognition and computational learning theory in artificial intelligence. Machine learning explores the study and construction of algorithms that can learn from and make predictions using data \u2013 such algorithms overcome the limitation of following strictly static program instructions by making data driven predictions or decisions, through building a model from sample inputs.<\/li><li><em>Data Visualisation and Exploration (15 credits)<\/em><br \/>This course introduces the field of data visualisation which seeks to determine and present underlying correlated structures and relationships in data sets from a wide variety of application areas. The prime objective of the presentation is to communicate the information in a dataset so as to enhance understanding. The course is comprised of the following subjects: Data and image models; Visualisation attributes (colour) and design (layout); Exploratory data analysis; Interactive data visualisation; Multidimensional data; Graphical perception; Visualisation software (Python &amp; R); and Types of visualisation (Animation, Networks &amp; Text).<\/li><li><em>Large Scale Computing Systems and Scientific Programming (15 credits)<\/em><br \/>Conducting e-research\/e-science requires a good understanding of the computing principles, methods and tools that have been developed to support the analysis of large-scale and complex data. The course focuses on the software stack but addresses hardware issues as necessary. The course covers a selection of following topics: Introduction to programming environments for scientific computing (e.g. Pandas, Numpy, matplotlib); Principles of distributed systems, and overview of parallel architectures and environments (e.g. FPGA, GPU, multi-core, cluster, grid); Large scale data transfer and storage; Frameworks for large scale data analysis (relational databases, map-reduce, streaming); Scientific workflow management: provenance and replication; Introduction to cloud computing and virtualisation; and Project (e.g. Programming large-data applications on open-source infrastructures for data processing and storage systems).<\/li><li><em>Large Scale Optimisation for Data Science (15 credits)<\/em><br \/>Advanced areas of data science require a deeper understanding of the large scale discrete optimisation methods pertaining to the field. In order to bridge this mathematical gap and provide a foundation for further learning, this course will place more emphasis on topics such as convex optimisation, sub-gradient methods, localisation methods, decomposition and distributed optimisation, proximal and operator splitting methods, conjugate gradients, and nonconvex problems.<\/li><li><em>Mathematical Foundations of Data Science (15 credits)<\/em><br \/>Advanced areas of data science require a deeper understanding of the fundamental mathematics pertaining to the field. In order to bridge this mathematical gap and provide a foundation for further learning, this course will place more emphasis on topics such as high-dimensional space, best-fit subspaces and singular value decomposition, random walks and Markov chains, statistical machine learning, clustering, random graphs, topic models, non-negative matrix factorisation, hidden Markov models, graphical models, wavelets, and sparse representations.<\/li><li><em>Special Topics in Data Science (15 credits)<\/em><br \/>This module deals with specialised and applied concepts and trends in the domain specific areas of data sciences such as finance, health sciences, bioinformatics, natural sciences, social sciences, smart cities, education, and energy.<\/li><li><em>Statistical Foundations of Data Science (15 credits)<\/em><br \/>This course provides an understanding of multivariate statistical methods. Hypothesis testing and confidence intervals. The ability to model data using well known statistical distributions as well as handle data that is both continuous and categorical. The ability to perform statistical modeling including multivariate regression and adjust for multiple hypothesis. Forecasting, extrapolation, prediction and modeling using statistical methods. Bayesian statistics. An understanding of bootstrapping and Monte Carlo simulation.<\/li><\/ul><p><em>** Not all electives are offered every year.<\/em><\/p><p class=\"western\"><strong>Research Report (Year 2 at Home Institution)<\/strong><\/p><ul><li><em>Research Report: Data Science (90 credits)<\/em><br \/>The ability to do research is an essential skill for an individual pursuing a career in Data Science, and forms the basis for further post-graduate study. This module provides practical training for the development of research skills and bridges the gap between theory and practice, and established work and novel research. By working within established research structures in the Institution under the guidance of an expert, students will receive exposure to the methods, philosophy and ethos of research in the field of Data Science.<\/li><\/ul><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\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>About Us The DSTI-NICIS National e-Science Postgraduate Teaching and Training Platform (NEPTTP) was launched in 2017 after the Department of Science, Technology, and Innovation (DSTI) identified the need to establish a multi-institutional consortium in data science in South Africa. This platform exists to develop human capital, with<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-3410","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/pages\/3410","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/comments?post=3410"}],"version-history":[{"count":21,"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/pages\/3410\/revisions"}],"predecessor-version":[{"id":4308,"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/pages\/3410\/revisions\/4308"}],"wp:attachment":[{"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/media?parent=3410"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}