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Postgraduation Applied Data Science, Big Data and AI

Lusófona Executive School's Postgraduate Programme in Applied Data Science, Big Data & AI prepares professionals to turn data into competitive advantage. It is aimed at managers, analysts and decision-makers who wish to deepen their knowledge of data scien Read more
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Course formatMixed Hours120h Credits20 ECTS
  • 1ª Edição

    1ª Edição

    Coming Soon
    Start date 19 Oct, 2026
    End date 24 Feb, 2027
    Application start 7 May, 2026
    Application end 18 Oct, 2026
  • What will I learn in this course?

    What will I learn in this course?

    Lusófona Executive School's Postgraduate Programme in Applied Data Science, Big Data & AI prepares professionals to turn data into competitive advantage. It is aimed at managers, analysts and decision-makers who wish to deepen their knowledge of data science, machine learning and artificial intelligence, applying it to business strategy. The programme combines theory and practice, enabling participants to extract valuable insights, optimise processes and make decisions based on data. With a leading faculty and a focus on real applications, this postgraduate programme is essential for those who want to lead in the era of the data-driven economy.
  • Entry requirements and conditions

    Entry requirements and conditions

    Entry qualifications correspond to a degree or equivalent. Non-graduates who have a professional CV that is recognised as attesting to their ability to complete the course may also be admitted to the course, which must be assessed by the course coordinators.
  • Technical and professional skills that I will acquire

    Technical and professional skills that I will acquire

    - Programming in Python for Data Science: Mastery of Python for manipulating data, automating processes and developing analytical solutions. - Data Analysis and Visualisation: Statistical techniques and tools for interpreting large volumes of data and extracting strategic insights for decision-making. - Data Engineering and Automation: Building efficient data pipelines, integrating multiple sources of information and optimising workflows. - Machine Learning and Artificial Intelligence: Developing predictive models, recognising patterns and applying advanced algorithms to solve business problems. - Deep Learning and Neural Networks: Creation, configuration and optimisation of deep neural networks, applying deep learning in scenarios such as computer vision and NLP.
  • Main reasons for choosing this course on ULusófona

    Main reasons for choosing this course on ULusófona

    • Learn from experts: Highly qualified teaching staff, made up of professionals and academics with extensive experience in Data Science, Big Data and AI.
    • Master Python and data tools: Develop practical skills in programming, data analysis, machine learning and process automation.
    • Turn data into competitive advantage: Apply advanced techniques for strategic decision-making and business innovation.
    • Networking and career opportunities: Connect with professionals and companies that are leading the digital transformation.
    • Focus on practical application: Hands-on methodology, with real projects that simulate market challenges.
    • Prepare for the future: Data Science and AI are key skills for success in the digital world. Don't be left behind!
  • Program

    Program

    • [Anual]
    • Artificial Intelligence and Aplications 2 ects
    • Data Engineering & Workflow Automation 3 ects
    • Deep Learning Neural Networks 2 ects
    • Digital Transformation and Data Driven Business Models 2 ects
    • Final Project 2 ects
    • Introduction Machine Learning 2 ects
    • Programming Crash-Course (in Python) 2 ects
    • Programming for Data Science (in Pyhton) and Analyzing & Visualizing Data 3 ects
    • Statistics Fundamentals 2 ects
  • Career opportunities and career prospects

    Career opportunities and career prospects

    This postgraduate programme is aimed at professionals who want to master data science and artificial intelligence in order to make strategic decisions based on data. The programme is ideal for: - Managers and Executives (CTOs, CIOs, CDOs, CEOs, Operations and Innovation Directors): Professionals who need to understand the impact of data and AI on the competitiveness of organisations, promoting digital transformation and data-driven business models. - Business and Strategy Analysts: Specialists who work on identifying trends, optimising processes and supporting decision-making based on data. - IT and Software Engineering professionals: Engineers, software architects and system administrators who want to deepen their knowledge of Data Engineering, Machine Learning and AI, as well as learn how to develop automated data pipelines. - Data Scientists and Analysts: Professionals who want to improve their technical skills, such as handling large volumes of data, statistical modelling and creating advanced algorithms. - Financial and Risk Specialists: Financial analysts, risk managers and economists who need to use predictive models and advanced statistical analysis to support decision-making. - Consultants and Technological Entrepreneurs: Anyone who wants to launch innovative products and services based on data science and AI, creating a competitive advantage in various sectors.

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Lisboa | Esc.Comunicação, Arquitetura, Artes e TI
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Fees

Other fees may be applied in accordance with the regulations in force.
    • Application Fees
      Holders of academic degree ? 60€
      Holders of academic degree ? 450€
    • Registration Fees
      School Insurance 47€
      Readmisson 105€
      195€
    • Tuition
      Monthly Fee 440€
      Número de prestações mensais 5
      Propina Total 2200€
    • Application Fees
      Holders of academic degree ? 70€
      Holders of academic degree ? 460€
    • Registration Fees
      School Insurance 50€
      Readmisson 110€
      200€
    • Tuition
      Monthly Fee 451€
      Número de prestações mensais 5
      Propina Total 2255€

Course Direction

Secretariat

Cristina Maria Moreira Pinheiro Tavares Da Silva

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