{"id":26,"date":"2025-02-02T10:06:52","date_gmt":"2025-02-02T09:06:52","guid":{"rendered":"http:\/\/master-mas-amu.local\/?page_id=26"},"modified":"2025-03-04T08:15:44","modified_gmt":"2025-03-04T07:15:44","slug":"parcours-data-science","status":"publish","type":"page","link":"https:\/\/maths.univ-amu.fr\/master-mas\/les-parcours-de-mas\/parcours-data-science\/","title":{"rendered":"Parcours Data Science (DS)"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\">\ud83d\udcca Une formation d&#8217;excellence en science des donn\u00e9es<\/h2>\n\n\n\n<p>Le parcours&nbsp;<strong>Data Science (DS)<\/strong>&nbsp;du Master Math\u00e9matiques Appliqu\u00e9es, Statistique forme les \u00e9tudiants aux m\u00e9thodes avanc\u00e9es d\u2019analyse des donn\u00e9es et d\u2019intelligence artificielle. Il r\u00e9pond aux besoins croissants des entreprises et de la recherche en mati\u00e8re de mod\u00e9lisation, d\u2019apprentissage automatique et de gestion des donn\u00e9es massives.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Objectifs de la formation<\/h2>\n\n\n\n<p>Ce parcours vise \u00e0 :<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Former des experts en&nbsp;<strong>machine learning, deep learning et intelligence artificielle<\/strong>.<\/li>\n\n\n\n<li>Ma\u00eetriser les outils modernes de&nbsp;<strong>programmation et d\u2019analyse des donn\u00e9es<\/strong>.<\/li>\n\n\n\n<li>D\u00e9velopper des comp\u00e9tences en&nbsp;<strong>mod\u00e9lisation statistique avanc\u00e9e<\/strong>.<\/li>\n\n\n\n<li>Pr\u00e9parer les \u00e9tudiants aux d\u00e9fis de la&nbsp;<strong>data science en entreprise et en recherche<\/strong>.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Connaissances d\u00e9velopp\u00e9es<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>M\u00e9thodes avanc\u00e9es en science des donn\u00e9es<\/strong>&nbsp;: Machine Learning, Deep Learning, mod\u00e9lisation de signaux et images.<\/li>\n\n\n\n<li><strong>Programmation et outils<\/strong>&nbsp;: Python, SQL, Spark, TensorFlow, Scikit-Learn.<\/li>\n\n\n\n<li><strong>Mod\u00e9lisation et statistiques appliqu\u00e9es<\/strong>&nbsp;: R\u00e9gressions, mod\u00e8les bay\u00e9siens, mod\u00e8les stochastisque.<\/li>\n\n\n\n<li><strong>Applications m\u00e9tier<\/strong>&nbsp;: Sant\u00e9, industrie, marketing, t\u00e9l\u00e9communication.<\/li>\n<\/ul>\n\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Organisation des enseignements<\/h2>\n\n\n\n<p>Le parcours s&#8217;articule autour de&nbsp;<strong>cours th\u00e9oriques<\/strong>,&nbsp;<strong>projets pratiques<\/strong>, et&nbsp;<strong>exp\u00e9riences en entreprise<\/strong>&nbsp;:<\/p>\n\n\n\n<p>\ud83d\udccc&nbsp;<strong>M1 \u2013 Fondamentaux de la Data Science<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Probabilit\u00e9s et statistiques avanc\u00e9es, optimisation<\/li>\n\n\n\n<li>Programmation en Python<\/li>\n\n\n\n<li>Introduction \u00e0 l\u2019apprentissage automatique<\/li>\n\n\n\n<li>Bases de donn\u00e9es et SQL<\/li>\n\n\n\n<li>Visualisation et interpr\u00e9tation des donn\u00e9es<\/li>\n\n\n\n<li>Stage court (2 \u00e0 4 mois)<\/li>\n<\/ul>\n\n\n\n<p>\ud83d\udccc&nbsp;<strong>M2 \u2013 Approfondissement et sp\u00e9cialisation<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Deep Learning et r\u00e9seaux neuronaux<\/li>\n\n\n\n<li>M\u00e9thodes statistiques avanc\u00e9es<\/li>\n\n\n\n<li>Traitement du signal et de l&#8217;image<\/li>\n\n\n\n<li>S\u00e9minaires et projets en entreprise<\/li>\n\n\n\n<li>Stage long (4 \u00e0 6 mois)<\/li>\n<\/ul>\n\n\n\n<p>\ud83d\udccc&nbsp;<strong>Alternance en M2<\/strong><\/p>\n\n\n\n<p>Le M2 Data Science peut \u00eatre suivi en&nbsp;<strong>alternance<\/strong>&nbsp;sous la forme d\u2019un <strong>contrat d\u2019apprentissage<\/strong>&nbsp;ou d\u2019un&nbsp;<strong>contrat de professionnalisation<\/strong>, mise en place par Formasup M\u00e9diterran\u00e9e. Cette formule permet aux \u00e9tudiants d\u2019acqu\u00e9rir une exp\u00e9rience professionnelle tout en suivant leur formation acad\u00e9mique. L\u2019alternance se d\u00e9roule selon un rythme adapt\u00e9, en alternant plusieurs semaines \u00e0 l\u2019universit\u00e9 et plusieurs semaines en entreprise, offrant ainsi une <strong>immersion compl\u00e8te dans le monde de la data science appliqu\u00e9e et une premi\u00e8re exp\u00e9rience professionnelle<\/strong>.<\/p>\n\n\n\n<p>\ud83d\udccc&nbsp;<strong>Anglais<\/strong><\/p>\n\n\n\n<p>L&#8217;anglais est la langue de la documention technique et scientifique dans ce champ disciplinaire. C&#8217;est une comp\u00e9tence \u00e0 travailler. En plus de cours de langue, un certain nombre de cours scientifiques sont donn\u00e9s en anglais.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">D\u00e9bouch\u00e9s professionnels<\/h2>\n\n\n\n<p>Les dipl\u00f4m\u00e9s du parcours&nbsp;<strong>Data Science<\/strong>&nbsp;trouvent des opportunit\u00e9s dans de nombreux secteurs :<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Data Scientist<\/strong>&nbsp;(analyse et mod\u00e9lisation des donn\u00e9es pour la prise de d\u00e9cision)<\/li>\n\n\n\n<li><strong>Data Analyst<\/strong>&nbsp;(exploitation des donn\u00e9es pour l\u2019optimisation des strat\u00e9gies)<\/li>\n\n\n\n<li><strong>Ing\u00e9nieur en Intelligence Artificielle<\/strong>&nbsp;(d\u00e9veloppement de mod\u00e8les avanc\u00e9s)<\/li>\n\n\n\n<li><strong>Consultant en Data Science<\/strong>&nbsp;(accompagnement des entreprises dans la transformation num\u00e9rique)<\/li>\n\n\n\n<li><strong>Chercheur en apprentissage automatique<\/strong>&nbsp;(poursuite en th\u00e8se de doctorat)<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Admission et profils recherch\u00e9s<\/h2>\n\n\n\n<p>Le parcours est accessible :<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>En&nbsp;<strong>M1<\/strong>, apr\u00e8s une licence \u00e0 forte dominante math\u00e9matiques. Les outils techniques en math\u00e9matiques que nous utilisons sont :\n<ul class=\"wp-block-list\">\n<li>l\u2019analyse lin\u00e9aire, le calcul matriciel&nbsp;<\/li>\n\n\n\n<li>le cacul diff\u00e9rentiel et l&#8217;optimisation<\/li>\n\n\n\n<li>le calcul des probabilit\u00e9s<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li>En&nbsp;<strong>M2<\/strong>, pour les \u00e9tudiants ayant suivi un M1 en data science, intelligence artificielle, statistique ou domaine connexe.<\/li>\n<\/ul>\n\n\n\n<p>\ud83d\udccc&nbsp;<strong>Crit\u00e8res cl\u00e9s :<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Solides bases en math\u00e9matiques et\/ou statistique<\/li>\n\n\n\n<li>Capacit\u00e9 \u00e0 programmer (Python par exemple), mettre en \u0153uvre informatiquement les m\u00e9thodes<\/li>\n\n\n\n<li>Capacit\u00e9 \u00e0 comprendre des textes et des cours en anglais<\/li>\n\n\n\n<li>Int\u00e9r\u00eat pour la mod\u00e9lisation et l\u2019IA<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Partenariats et collaborations<\/h2>\n\n\n\n<p>Le parcours b\u00e9n\u00e9ficie d\u2019un fort r\u00e9seau acad\u00e9mique et industriel :<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Collaborations avec des unit\u00e9s de recherche (I2M, LIS,\u2026)<\/li>\n\n\n\n<li>Stages et projets en partenariat avec des entreprises de la tech, des t\u00e9l\u00e9communication, de l\u2019industrie et de la sant\u00e9<\/li>\n\n\n\n<li>Conf\u00e9rences et s\u00e9minaires anim\u00e9s par des experts du domaine<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Localisation<\/h2>\n\n\n\n<p>Le M1 et le M2 ont lieu sur le campus de Saint-Charles de la Facult\u00e9 des Sciences d&#8217;Aix-Marseille universit\u00e9<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\ud83d\udcca Une formation d&#8217;excellence en science des donn\u00e9es Le parcours&nbsp;Data Science (DS)&nbsp;du Master Math\u00e9matiques Appliqu\u00e9es, Statistique forme les \u00e9tudiants aux m\u00e9thodes avanc\u00e9es d\u2019analyse des donn\u00e9es et d\u2019intelligence artificielle. Il r\u00e9pond aux besoins croissants des entreprises et de la recherche en mati\u00e8re de mod\u00e9lisation, d\u2019apprentissage automatique et de gestion des donn\u00e9es massives. Objectifs de la formation [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":39,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-26","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.0 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Parcours Data Science (DS) - MAS@amU<\/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:\/\/maths.univ-amu.fr\/master-mas\/les-parcours-de-mas\/parcours-data-science\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Parcours Data Science (DS) - MAS@amU\" \/>\n<meta property=\"og:description\" content=\"\ud83d\udcca Une formation d&#8217;excellence en science des donn\u00e9es Le parcours&nbsp;Data Science (DS)&nbsp;du Master Math\u00e9matiques Appliqu\u00e9es, Statistique forme les \u00e9tudiants aux m\u00e9thodes avanc\u00e9es d\u2019analyse des donn\u00e9es et d\u2019intelligence artificielle. 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