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Analytics and Business Data Science

Direção
Jorge Manuel Pereira Duque
Co-coordenador
João Miguel Abrantes Alves
Telefone

  • Deliberação A3ES
  • Horas de contacto: 264.00
  • Créditos ECTS: 34
  • Requisitos de Graduação: 34
  • Área Científica: Information Systems and Computer Science
  • Modo: Presencial
  • Língua: EN
Grau: 
(Pós-Graduação)

CalendáriosCalendars

Propinas e Emolumentos Tuition and Fees (2025/2026)

Valores Candidatura

Candidates without academic degree Cidadãos de paises fora da UE
450€
Candidates without academic degree Cidadãos nacionais ou da UE e residentes em Portugal há mais de 2 anos.
60€
Holders of academic degree Cidadãos de paises fora da UE
450€
Holders of academic degree Cidadãos nacionais ou da UE e residentes em Portugal há mais de 2 anos.
60€

Valores Matrícula e Inscrição

School Insurance
47€

Propinas

Monthly Fee
230.16€

Start Date
3 October 2025 (subject to a minimum number of students)
Mode of Study
In person (exceptionally, some classes may be taught online)
Timetable
Friday, 7:00 p.m. – 11:00 p.m., and Saturday, 9:00 a.m. – 1:00 p.m.
Duration
264 hours
Partners
Eligible for application to the José Neves Foundation scholarship
ETACADEMY formacao especializada logo cores
  • ApresentaçãoPresentation

    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.

  • Condições de IngressoAccess Conditions

    Experience in the areas of science, technology, engineering, management, economics, or any other area that includes a mathematical component.

    Candidate selection is based on their CV and motivation to attend the course, followed by an interview conducted by the course coordinator.

  • DestinatáriosRecipients

    • 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.
  • ObjectivosObjectives

      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.
  • CompetênciasCompetences

    • 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.
  • Plano de EstudosStudy Plan

    1º Ano / Common Core

    ProgramECTS
    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
  • DocentesTeachers
    • Núria Raquel Lobo Amorim Duarte
    • Tânia Alexandra Lima Santos
    • Jorge Manuel Pereira Duque
    • Luís Manuel Correia Osório
    • João Gonçalo Cameira Nogueira
    • Miguel Pedro Rodrigues De Freitas Caldas
    • João Miguel Abrantes Alves
    • António Miguel Arantes Da Silva
    • Jose Alexandre Dias Neto
    • Carlos Jorge Pereira Bessa
    • Fabio Ricardo Sousa Fernandes
  • ObservaçõesObservations

    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)