• Analytics and Business Data Science
  • 6416
  • 264.00
  • 1º Ano / Common Core

    Annual

    Course NameECTS
    Algorithmics and Programming in Python2 ECTS
    Big Data Analytics2 ECTS
    Business Data Analysis and Visualization Models2 ECTS
    Data Governance and Cybersecurity2 ECTS
    Data Organization and Architectures2 ECTS
    Database Technologies3 ECTS
    Fundamentals of Business Intelligence and Data Analysis2 ECTS
    Introduction to Data Science in Organizations2 ECTS
    Introduction to Machine Learning in R4 ECTS
    Machine Learning in Python4 ECTS
    Project I2 ECTS
    Project II2 ECTS
    Quality Management and Exploratory Data Analysis2 ECTS
    Statistics3 ECTS
    • [[inner]]
  • 27
    • Acquisition of skills in an innovative program developed by experts in the field and adapted to market needs.
    • Practical methodology, including the analysis of case studies, the use of tools, and the development of a project in a real context.
    • Master classes with recognized experts in different sectors, aimed at sharing knowledge about real projects in the data area.
    • Opportunity to intern at Metyis, with the possibility of future integration into the company's staff.
  • 34
  • iba@islagaia.pt
  • 2
  • Pós-Graduação
  • ISLA GAIA - School of Technology
  • N
    • Develop a vision for the different possibilities of applying Analytics and Data Science within an organization. Develop the necessary skills for planning an Analytics/Data Science project. Develop the necessary skills to understand and analyze a data problem, then prepare, model, evaluate, and implement a solution. Empower students to use software tools in Analytics and Data Science.
  • The Postgraduate Program in Business Analytics and Data Science, developed by ISLA Business Academy in collaboration with Metyis, aims to provide structured training in data science. It offers a clear synergy between theory and practice, enabling participants to develop Analytics and Data Science projects.

    The exponential growth of digital technology has provided us with an immense generation of data. Public and private sector organizations have access to vast amounts of data collected from users, customers, suppliers, and even objects through transactions, social networks, and the Internet of Things, among other sources. They become more efficient and competitive when they can extract information from this data to improve processes and make decisions.

    In an increasingly competitive and digital world, companies and organizations need professionals who understand data, know how to analyze it, explore its potential, and convert it into insights to anticipate and respond quickly to the needs of the market, customers, and other stakeholders.

    Data analysts, data scientists, and data engineers are just some of the possibilities in the field of data science, which is increasingly in demand in the global job market. This isn't only due to the exponential growth of data but also because it's a transversal field applicable across various sectors, such as banking, healthcare, industry, retail, and the public sector.

    The Postgraduate Program in Business Analytics and Data Science aims to equip its students with key knowledge for developing models and applying methods and tools in analytics and data science, with a practical application of data analysis techniques and machine learning algorithms.

    With a focus on the business context, this program aims to prepare professionals to create value in any organization through these domains.

  • Information Systems and Computer Science
  • 11
    • Executives and managers who wish to implement Analytics and Data Science solutions that enable data-driven decision-making, business process optimization and innovation within their organization.
    • Business executives for whom information analysis and management are essential in the course of their duties.
    • Professionals with an analytical profile who wish to obtain structured training that will allow them to change careers into the Analytics and/or Data Science area.
  • 223772980
  • 2312
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      \r\n
    • Acquisition of skills in an innovative program developed by experts in the field and adapted to market needs.<\/li>\r\n
    • Practical methodology, including the analysis of case studies, the use of tools, and the development of a project in a real context.<\/li>\r\n
    • Master classes with recognized experts in different sectors, aimed at sharing knowledge about real projects in the data area.<\/li>\r\n
    • Opportunity to intern at Metyis, with the possibility of future integration into the company's staff.<\/li><\/ul>\r\n","directionContact":"Jorge Manuel Pereira Duque","directionEmail":"jorge.duque@islagaia.pt","courseECTS":34,"courseName":"Analytics and Business Data Science","dsGrauCursoLongo":"Postgraduate Program in Business Analytics and Data Science","courseSecretariatEmail":"iba@islagaia.pt","curricularPlanCode":2,"degree":"P\u00f3s-Gradua\u00e7\u00e3o","departement":"ISLA GAIA - School of Technology","hasBranches":"N","objectives":"
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        The Postgraduate Program in Business Analytics and Data Science, developed by ISLA Business Academy in collaboration with Metyis, aims to provide structured training in data science. It offers a clear synergy between theory and practice, enabling participants to develop Analytics and Data Science projects.<\/p>\r\n

        The exponential growth of digital technology has provided us with an immense generation of data. Public and private sector organizations have access to vast amounts of data collected from users, customers, suppliers, and even objects through transactions, social networks, and the Internet of Things, among other sources. They become more efficient and competitive when they can extract information from this data to improve processes and make decisions.<\/p>\r\nIn an increasingly competitive and digital world, companies and organizations need professionals who understand data, know how to analyze it, explore its potential, and convert it into insights to anticipate and respond quickly to the needs of the market, customers, and other stakeholders.<\/p>\r\n

        Data analysts, data scientists, and data engineers are just some of the possibilities in the field of data science, which is increasingly in demand in the global job market. This isn't only due to the exponential growth of data but also because it's a transversal field applicable across various sectors, such as banking, healthcare, industry, retail, and the public sector.<\/p>\r\n

        The Postgraduate Program in Business Analytics and Data Science aims to equip its students with key knowledge for developing models and applying methods and tools in analytics and data science, with a practical application of data analysis techniques and machine learning algorithms.<\/p>\r\n

        With a focus on the business context, this program aims to prepare professionals to create value in any organization through these domains.<\/p>","scientificArea":"Ci\u00eancias inform\u00e1ticas","scientificAreaCNAEFCode":"481","scientificAreaCode":71,"areaScientificMkt":"Information Systems and Computer Science","idAreaScientificMkt":11,"directorLogin":"p40471","modEstudo":"Presencial","comments":"

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          \r\n
        • 15% of the tuition fee for former ISLA Gaia students<\/li>\r\n
        • 10% for students from other Lus\u00f3fona Group institutions and entities with a protocol<\/li>\r\n
        • 5% cash payment (can be combined with previous discounts) <\/li><\/ul>\r\n","recipients":"
            \r\n
          • Executives and managers who wish to implement Analytics and Data Science solutions that enable data-driven decision-making, business process optimization and innovation within their organization.<\/li>\r\n
          • Business executives for whom information analysis and management are essential in the course of their duties.<\/li>\r\n
          • Professionals with an analytical profile who wish to obtain structured training that will allow them to change careers into the Analytics and\/or Data Science area.<\/li><\/ul>","telephoneNumber":"223772980","partners":"Metyis","expectedWorkload":"264","recordId":2312,"highlightsRecord":"

            Metyis Internship Program.<\/p>\r\n

            Metyis will create a paid internship program(s) for Postgraduate students in Business Analytics and Data Science, depending on the company's needs. Selected candidates will have access to a full-time internship for a period of 6 months, with a remuneration to be defined.<\/p>\r\n

              \r\nEligibility conditions:\r\n
            • Full availability (Full-time internship)<\/li>\r\n
            • Accept the internship conditions (remuneration and training)<\/li><\/ul>\r\n\r\n

              Course eligible for application for the Jos\u00e9 Neves Foundation scholarship. Check conditions at https:\/\/www.joseneves.org\/isa<\/p>","coDirectorCourseId":"p6957","coDirectorContact":"Jo\u00e3o Miguel Abrantes Alves","coDirectorEmail":"p6957@islagaia.pt","idAreaScientificMkt2":24,"areaScientificMkt2":"Engineering and Technologies","destaques":"

              Metyis Internship Program.<\/p>\r\n

              Metyis will create a paid internship program(s) for Postgraduate students in Business Analytics and Data Science, depending on the company's needs. Selected candidates will have access to a full-time internship for a period of 6 months, with a remuneration to be defined.<\/p>\r\n

                \r\nEligibility conditions:\r\n
              • Full availability (Full-time internship)<\/li>\r\n
              • Accept the internship conditions (remuneration and training)<\/li><\/ul>\r\n\r\n

                Course eligible for application for the Jos\u00e9 Neves Foundation scholarship. Check conditions at https:\/\/www.joseneves.org\/isa<\/p>","dispExtraCurricular":"N"},"courseTuitions":[{"designation":"School Insurance","value":47,"code":780},{"value":200,"code":996},{"value":2301.6,"code":1526},{"designation":"Monthly Fee","value":230.16}],"courseApplicationEmoluments":[{"designation":"Holders of academic degree","value":60,"code":1291,"candidateType":"R"},{"designation":"Holders of academic degree","value":450,"code":1293,"candidateType":"E"}],"teachers":[{"fullName":"N\u00daRIA RAQUEL LOBO AMORIM DUARTE","cardCode":2345497,"employeeCode":6747,"regimen":"Part-Time"},{"fullName":"Jorge Manuel Pereira Duque","email":"jdduque@sapo.pt","cardCode":2344874,"employeeCode":40471,"regimen":"Part-Time","cienciaVitae":"FD15-6377-8559","orcid":"0000-0003-4939-6176"},{"fullName":"Lu\u00eds Manuel Correia Os\u00f3rio","cardCode":2345337,"employeeCode":6542,"regimen":"Part-Time","academicName":"Lu\u00eds Os\u00f3rio"},{"fullName":"JO\u00c3O GON\u00c7ALO CAMEIRA NOGUEIRA","cardCode":2345560,"employeeCode":6811,"regimen":"Part-Time"},{"fullName":"MIGUEL PEDRO RODRIGUES DE FREITAS CALDAS","cardCode":2345605,"employeeCode":6919,"regimen":"Part-Time"},{"fullName":"JO\u00c3O MIGUEL ABRANTES ALVES","cardCode":2345635,"employeeCode":6957,"regimen":"Part-Time"},{"fullName":"ANT\u00d3NIO MIGUEL ARANTES DA SILVA","cardCode":2346175,"employeeCode":7518,"regimen":"Part-Time"},{"fullName":"JOSE ALEXANDRE DIAS NETO","cardCode":2346264,"employeeCode":7865,"regimen":"Part-Time"},{"fullName":"CARLOS JORGE PEREIRA BESSA","cardCode":2345865,"employeeCode":7327,"regimen":"Part-Time"},{"fullName":"FABIO MAURO GARCES DE FREITAS","cardCode":2346231,"employeeCode":7817,"regimen":"Part-Time"},{"fullName":"Allan Yoshio Suzuki","cardCode":2346764,"employeeCode":8748,"regimen":"Part-Time"}],"courseEditions":[{"courseCode":6416,"recordId":2312,"editionId":424,"endDate":1814310000000,"initialDate":1793318400000,"initialDateCandidate":1769904000000,"endDateCandidate":1792710000000,"namePt":"6\u00aa Edi\u00e7\u00e3o","horarioPrevPt":"6\u00aa feira das 19:00 \u00e0s 23:00 e S\u00e1bado das 9:00 \u00e0s 13:00"}],"errorCode":"0","lang":"en-GB","emolumentsfirstyear":{"courseTuitions":[{"designation":"School Insurance","value":50,"code":780},{"value":200,"code":996},{"designation":"Monthly Fee","value":235.91},{"value":235.91}],"courseApplicationEmoluments":[{"designation":"Holders of academic degree","value":70,"code":1291,"candidateType":"R"},{"designation":"Holders of academic degree","value":460,"code":1293,"candidateType":"E"}],"errorCode":"0"},"emolumentssecondyear":{"errorCode":"0"},"calendar":[{"codigoInstituicao":27,"nomeInstituicao":"ISLA - Instituto Polit\u00e9cnico de Gest\u00e3o e Tecnologia (ISLA Gaia)","codigoGrau":6,"nomeGrau":"Postgraduation","codigoCurso":6416,"nomeCurso":"Analytics and Business Data Science","nomeFase":"1st phase","nomePeriodo":"Applying for Postgraduation - Holders of academic degree","codigoPeriodo":10265,"inicioPeriodo":"2026-04-30 00:00:00.0","fimPeriodo":"2026-10-29 00:00:00.0","fase":1,"codigoRegimeCandidatura":137,"schoolYear":"202627","language":"EN"}]}

              • EN
              • jorge.duque@islagaia.pt
              • p6957@islagaia.pt
              • João Miguel Abrantes Alves
              • Holders of a national or foreign higher education degree, or individuals with an academic or scientific background or professional experience that demonstrates the ability to undertake these studies.

              • Jorge Manuel Pereira Duque
              • Presencial
              • Ciências informáticas
              • 481
              • 71
              • Discounts:

                • 15% of the tuition fee for former ISLA Gaia students
                • 10% for students from other Lusófona Group institutions and entities with a protocol
                • 5% cash payment (can be combined with previous discounts)
              • {"courseTuitions":[{"designation":"School Insurance","value":50,"code":780},{"value":200,"code":996},{"designation":"Monthly Fee","value":235.91},{"value":235.91}],"courseApplicationEmoluments":[{"designation":"Holders of academic degree","value":70,"code":1291,"candidateType":"R"},{"designation":"Holders of academic degree","value":460,"code":1293,"candidateType":"E"}],"errorCode":"0"}
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              • https://secure.ensinolusofona.pt/lsm/LusofonaMobileWebService_2_0/UserThumb?user_login=p40471
              • https://secure.ensinolusofona.pt/lsm/LusofonaMobileWebService_2_0/UserThumb?user_login=p6957
              • 6ª Edição
              • 2026-10-30
              • 2027-06-29
              • 2026-02-01
              • Metyis Internship Program.

                Metyis will create a paid internship program(s) for Postgraduate students in Business Analytics and Data Science, depending on the company's needs. Selected candidates will have access to a full-time internship for a period of 6 months, with a remuneration to be defined.

                  Eligibility conditions:
                • Full availability (Full-time internship)
                • Accept the internship conditions (remuneration and training)

                Course eligible for application for the José Neves Foundation scholarship. Check conditions at https://www.joseneves.org/isa