<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>1517-9702</journal-id>
<journal-title><![CDATA[Educação e Pesquisa]]></journal-title>
<abbrev-journal-title><![CDATA[Educ. Pesqui.]]></abbrev-journal-title>
<issn>1517-9702</issn>
<publisher>
<publisher-name><![CDATA[Faculdade de Educação da Universidade de São Paulo]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1517-97022023000100663</article-id>
<article-id pub-id-type="doi">10.1590/s1678-4634202349249290</article-id>
<title-group>
<article-title xml:lang="pt"><![CDATA[Formação estatística nos programas de pós-graduação brasileiros: análise das disciplinas oferecidas]]></article-title>
<article-title xml:lang="en"><![CDATA[Statistical training in Brazilian graduate programs: an analysis of the courses offered]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Marques]]></surname>
<given-names><![CDATA[Felipe Tumenas]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Louzada Neto]]></surname>
<given-names><![CDATA[Francisco]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidade Federal da Bahia  ]]></institution>
<addr-line><![CDATA[Salvador BA]]></addr-line>
<country>Brasil</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidade de São Paulo  ]]></institution>
<addr-line><![CDATA[São Carlos SP]]></addr-line>
<country>Brasil</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>00</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>00</month>
<year>2023</year>
</pub-date>
<volume>49</volume>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://educa.fcc.org.br/scielo.php?script=sci_arttext&amp;pid=S1517-97022023000100663&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://educa.fcc.org.br/scielo.php?script=sci_abstract&amp;pid=S1517-97022023000100663&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://educa.fcc.org.br/scielo.php?script=sci_pdf&amp;pid=S1517-97022023000100663&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="pt"><p><![CDATA[Resumo A estatística é uma das bases da ciência e seu ensino em programas de pós-graduação tem influência direta na formação da próxima geração de pesquisadores. Este trabalho traz um panorama geral das disciplinas relacionadas à estatística na pós-graduação stricto sensu no Brasil, a partir da análise das ementas das 176.823 disciplinas, sendo 12.552 com conteúdos relacionados à estatística. Dentre os fatos encontrados temos que poucos programas possuem disciplinas obrigatórias relacionadas à estatística. Quanto maior o conceito da pós-graduação na Capes, maior a quantidade média de disciplinas relacionadas à estatística ofertadas. Entretanto, essa relação não está presente nas disciplinas obrigatórias. Com relação ao conteúdo das disciplinas, elas se dividem em dois grandes grupos. Um grupo com base teórica em probabilidade e estatística, outro com foco em aplicações e utilização de ferramentas. Existe um pequeno terceiro grupo de disciplinas, ofertadas na língua inglesa. Por fim, a oferta de disciplinas relacionadas a técnicas avançadas (Machine Learning) é, se comparada à oferta das disciplinas relacionadas à estatística, muito pequena e se concentra, principalmente, nos programas de Engenharia e Ciências Exatas e da Terra.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract Statistics is one of the foundations of science, and its teaching in graduate programs has a direct influence on shaping the next generation of researchers. This study provides a general overview of statistics-related courses in stricto sensu graduate programs in Brazil, based on the analysis of the syllabi of 176,823 courses, of which 12,552 contained content related to statistics. Among the findings, it was observed that only a few programs have mandatory courses specifically related to statistics. The higher the concept of the graduate program according to Capes evaluation, the greater the average number of statistics-related courses offered. However, this relationship is not evident in the mandatory courses. Regarding the content of the courses, they can be divided into two main groups: one with a theoretical foundation in probability and statistics, and another focused on applications and the use of tools. There is a small third group of courses offered in the English language. Finally, the availability of courses related to advanced techniques (such as Machine Learning) is much smaller compared to the offering of statistics-related courses, and it is mainly concentrated in Engineering and Exact and Earth Sciences programs.]]></p></abstract>
<kwd-group>
<kwd lng="pt"><![CDATA[Pós-Graduação]]></kwd>
<kwd lng="pt"><![CDATA[Disciplinas]]></kwd>
<kwd lng="pt"><![CDATA[Estatística]]></kwd>
<kwd lng="en"><![CDATA[Graduate Studies]]></kwd>
<kwd lng="en"><![CDATA[Courses]]></kwd>
<kwd lng="en"><![CDATA[Statistics]]></kwd>
</kwd-group>
</article-meta>
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