{"id":3031,"date":"2023-04-09T10:43:39","date_gmt":"2023-04-09T10:43:39","guid":{"rendered":"https:\/\/ready4uni.eu\/?page_id=3031"},"modified":"2023-04-09T10:46:58","modified_gmt":"2023-04-09T10:46:58","slug":"data-science","status":"publish","type":"page","link":"https:\/\/ready4uni.eu\/index.php\/degrees\/wroclaw-university\/data-science\/","title":{"rendered":"Data Science"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"3031\" class=\"elementor elementor-3031\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-d1f0489 elementor-section-full_width elementor-section-height-default elementor-section-height-default\" data-id=\"d1f0489\" data-element_type=\"section\" data-e-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-3769a0e\" data-id=\"3769a0e\" data-element_type=\"column\" data-e-type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;slideshow&quot;,&quot;background_slideshow_gallery&quot;:[{&quot;id&quot;:2566,&quot;url&quot;:&quot;http:\\\/\\\/ready4uni.eu\\\/wp-content\\\/uploads\\\/2023\\\/03\\\/UWr-grafiki-historia6.webp&quot;}],&quot;background_slideshow_loop&quot;:&quot;yes&quot;,&quot;background_slideshow_slide_duration&quot;:5000,&quot;background_slideshow_slide_transition&quot;:&quot;fade&quot;,&quot;background_slideshow_transition_duration&quot;:500}\">\n\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\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-ccbe2c2 elementor-section-full_width elementor-section-height-default elementor-section-height-default\" data-id=\"ccbe2c2\" data-element_type=\"section\" data-e-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-14856cc\" data-id=\"14856cc\" data-element_type=\"column\" data-e-type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;slideshow&quot;,&quot;background_slideshow_gallery&quot;:[{&quot;id&quot;:3037,&quot;url&quot;:&quot;http:\\\/\\\/ready4uni.eu\\\/wp-content\\\/uploads\\\/2023\\\/04\\\/zblizenie-dloni-trzymajacej-futurystyczny-ekran-scaled.jpg&quot;}],&quot;background_slideshow_loop&quot;:&quot;yes&quot;,&quot;background_slideshow_slide_duration&quot;:5000,&quot;background_slideshow_slide_transition&quot;:&quot;fade&quot;,&quot;background_slideshow_transition_duration&quot;:500}\">\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-3a7eac4 elementor-widget__width-inherit elementor-widget elementor-widget-text-editor\" data-id=\"3a7eac4\" data-element_type=\"widget\" data-e-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\t\t<p style=\"font-size: 29px; font-style: normal; font-weight: 400;\"><b>Data Science (Masters)<\/b><\/p>\t\t\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\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-c1eff83 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"c1eff83\" data-element_type=\"section\" data-e-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-62d0fbe\" data-id=\"62d0fbe\" data-element_type=\"column\" data-e-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-0f3b55c elementor-widget elementor-widget-text-editor\" data-id=\"0f3b55c\" data-element_type=\"widget\" data-e-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\t\t<table><tbody><tr><td><p><span style=\"font-weight: 400;\">Master<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Fulltime studies in English<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Faculty of Mathematics and Computer Science<\/span><\/p><\/td><\/tr><\/tbody><\/table><p><span style=\"font-weight: 400;\">Our master program is a unique combination of solid mathematical background and computer science applications. Not only will you learn how to use tools, such as deep neural networks, but you will gain profound understanding why they work.<\/span><\/p><p><span style=\"font-weight: 400;\">Our <\/span><a href=\"http:\/\/datascience.uni.wroc.pl\/staff.html\"><span style=\"font-weight: 400;\">staff<\/span><\/a><span style=\"font-weight: 400;\"> are specialists from different subfields of data science: statistics, machine learning, optimization, analysis of big data, processing of natural language. We have both solid academic experience but we also advise companies how data science can be used to increase their profits. We offer small groups (15 people enrolled yearly) and individual approach to each student.<\/span><\/p><p><span style=\"font-weight: 400;\">Only three <\/span><a href=\"http:\/\/datascience.uni.wroc.pl\/courses.html\"><span style=\"font-weight: 400;\">courses<\/span><\/a><span style=\"font-weight: 400;\"> (Machine Learning, Numerical Optimization, Statistical Learning) are obligatory. They will give you the necessary foundations for pursuing knowledge in more advanced courses. As a student of our department you could also broaden your horizons taking supplementary courses, e.g., on algorithms or optimization. Don\u2019t worry: we\u2019ll advise you what courses to study next!<\/span><\/p><p><span style=\"font-weight: 400;\">Our graduates find jobs in top companies in Silicon Valley (Google, Microsoft &amp; Facebook), work at top universities (MIT) and found prospective startups.<\/span><\/p><p><span style=\"font-weight: 400;\">Our students participate in data science projects from the very beginning of their studies. You will gain invaluable hands-on experience already before graduating.<\/span><\/p><p><span style=\"font-weight: 400;\">\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Special website of the programme: <\/span><a href=\"http:\/\/www.datascience.uni.wroc.pl\/\"><span style=\"font-weight: 400;\">http:\/\/www.datascience.uni.wroc.pl\/<\/span><\/a><\/p><p>Download: <a href=\"https:\/\/international.uni.wroc.pl\/sites\/default\/files\/2022-08\/DataScience_recruitment_foreign_2022.pdf\"><span style=\"font-weight: 400;\">DataScience_recruitment_foreign_2022.pdf<\/span><\/a><\/p>\t\t\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\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Data Science (Masters) Master Fulltime studies in English Faculty of Mathematics and Computer Science Our master program is a unique combination of solid mathematical background and computer science applications. Not only will you learn how to use tools, such as deep neural networks, but you will gain profound understanding why they work. Our staff are [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":2285,"menu_order":9,"comment_status":"closed","ping_status":"closed","template":"","meta":{"site-sidebar-layout":"no-sidebar","site-content-layout":"page-builder","ast-site-content-layout":"default","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-opacity":"","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-opacity":"","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-opacity":"","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-opacity":"","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-opacity":"","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-opacity":"","overlay-gradient":""}},"footnotes":""},"class_list":["post-3031","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Data Science -<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/ready4uni.eu\/index.php\/degrees\/wroclaw-university\/data-science\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Data Science -\" \/>\n<meta property=\"og:description\" content=\"Data Science (Masters) Master Fulltime studies in English Faculty of Mathematics and Computer Science Our master program is a unique combination of solid mathematical background and computer science applications. 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