[et_pb_section fb_built=\u00a0\u00bb1″ _builder_version=\u00a0\u00bb3.22″][et_pb_row _builder_version=\u00a0\u00bb3.22″ background_size=\u00a0\u00bbinitial\u00a0\u00bb background_position=\u00a0\u00bbtop_left\u00a0\u00bb background_repeat=\u00a0\u00bbrepeat\u00a0\u00bb][et_pb_column type=\u00a0\u00bb4_4″ _builder_version=\u00a0\u00bb3.0.47″][et_pb_post_title meta=\u00a0\u00bboff\u00a0\u00bb featured_image=\u00a0\u00bboff\u00a0\u00bb admin_label=\u00a0\u00bbTitre de la page\u00a0\u00bb _builder_version=\u00a0\u00bb3.19.11″][\/et_pb_post_title][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=\u00a0\u00bb3.22″ background_size=\u00a0\u00bbinitial\u00a0\u00bb background_position=\u00a0\u00bbtop_left\u00a0\u00bb background_repeat=\u00a0\u00bbrepeat\u00a0\u00bb][et_pb_column type=\u00a0\u00bb4_4″ _builder_version=\u00a0\u00bb3.0.47″][et_pb_text admin_label=\u00a0\u00bbIntro\u00a0\u00bb module_id=\u00a0\u00bbintro\u00a0\u00bb _builder_version=\u00a0\u00bb3.22.1″]<\/p>\n
The field of Natural Language Processing (NLP) has revolutionized industries by enabling advanced generative AI technologies and fostering innovations like real-time translation, intelligent assistants, and automated content creation. UPCit\u00e9\u2019s master\u2019s program in Computational Linguistics equips students with theoretical and practical skills in NLP, preparing them for careers in industry or research through interdisciplinary training in computer science, data science, linguistics, and AI.<\/p>\n
On this page you will find the detailed curriculum as well as links to places where key information can be found.<\/p>\n<\/div>\n<\/div>\n<\/div>\n
[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=\u00a0\u00bb3.22″ background_size=\u00a0\u00bbinitial\u00a0\u00bb background_position=\u00a0\u00bbtop_left\u00a0\u00bb background_repeat=\u00a0\u00bbrepeat\u00a0\u00bb][et_pb_column type=\u00a0\u00bb4_4″ _builder_version=\u00a0\u00bb3.0.47″][et_pb_text admin_label=\u00a0\u00bbTitle\u00a0\u00bb _builder_version=\u00a0\u00bb3.22.1″]<\/p>\n
[\/et_pb_text][et_pb_tabs _builder_version=\u00a0\u00bb3.22.1″][et_pb_tab title=\u00a0\u00bbYear 1 semester 1 (S1)\u00a0\u00bb _builder_version=\u00a0\u00bb3.22.1″]<\/p>\n
The following 4 courses are all mandatory<\/strong>:<\/p>\n The following two courses are both mandatory<\/strong>:<\/p>\n Students have to take the following mandatory course:<\/p>\n In addition, they have to pick two<\/strong> out of the following list of courses:<\/p>\n <\/p>\n [\/et_pb_tab][et_pb_tab title=\u00a0\u00bbYear 1 Semester 2 (S2)\u00a0\u00bb _builder_version=\u00a0\u00bb3.22.1″]<\/p>\n The following 4 courses are all mandatory<\/strong>:<\/p>\n The following courses is\u00a0mandatory<\/strong>:<\/p>\n Students have to pick\u00a0two<\/strong> courses from the following list:<\/p>\n [\/et_pb_tab][et_pb_tab title=\u00a0\u00bbYear 2 Semester 1 (S3)\u00a0\u00bb _builder_version=\u00a0\u00bb3.22.1″]<\/p>\n The following 4 courses are all mandatory<\/strong>:<\/p>\n The following courses are all\u00a0mandatory<\/strong>:<\/p>\n Students have to pick two<\/strong> out of the following list of courses:<\/p>\n [\/et_pb_tab][et_pb_tab title=\u00a0\u00bbYear 2 semester 2 (S4)\u00a0\u00bb _builder_version=\u00a0\u00bb3.22.1″]<\/p>\n [\/et_pb_tab][\/et_pb_tabs][et_pb_text _builder_version=\u00a0\u00bb3.22.1″]<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":" The field of Natural Language Processing (NLP) has revolutionized industries by enabling advanced generative AI technologies and fostering innovations like real-time translation, intelligent assistants, and automated content creation. UPCit\u00e9\u2019s master\u2019s program in Computational Linguistics equips students with theoretical and practical skills in NLP, preparing them for careers in industry or research through interdisciplinary training in… Lire la suite Master’s degree in Computational Linguistics (CL)<\/span><\/a><\/p>\n","protected":false},"author":609,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"coauthors":[114],"class_list":["post-4252","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/u-paris.fr\/linguistique\/wp-json\/wp\/v2\/pages\/4252","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/u-paris.fr\/linguistique\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/u-paris.fr\/linguistique\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/u-paris.fr\/linguistique\/wp-json\/wp\/v2\/users\/609"}],"replies":[{"embeddable":true,"href":"https:\/\/u-paris.fr\/linguistique\/wp-json\/wp\/v2\/comments?post=4252"}],"version-history":[{"count":18,"href":"https:\/\/u-paris.fr\/linguistique\/wp-json\/wp\/v2\/pages\/4252\/revisions"}],"predecessor-version":[{"id":6890,"href":"https:\/\/u-paris.fr\/linguistique\/wp-json\/wp\/v2\/pages\/4252\/revisions\/6890"}],"wp:attachment":[{"href":"https:\/\/u-paris.fr\/linguistique\/wp-json\/wp\/v2\/media?parent=4252"}],"wp:term":[{"taxonomy":"author","embeddable":true,"href":"https:\/\/u-paris.fr\/linguistique\/wp-json\/wp\/v2\/coauthors?post=4252"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}\n
Block 2: Fundamentals of Computer Science and Data Science<\/h4>\n
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Block 3: Fundamentals of linguistics 1<\/h4>\n
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Block 1: NLP and its application\u200b<\/h4>\n
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Block 2: Fundamentals of Computer Science and Data Science 2<\/h4>\n
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Block 3: Broadening 1<\/h4>\n
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Block 4: Preparation for professional insertion<\/h4>\n
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Block 1: Advanced Topics in NLP<\/h4>\n
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Block 2: Specialization Program in Data Science and Computer Science<\/h4>\n
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Block 3: Broadening in linguistics 2<\/h4>\n
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Links<\/span><\/span><\/h2>\n
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