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 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 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.

Digital Transformation and Data Driven Business Models - 2 ECTS Programming Crash-Course (em Python) - 2 ECTS Statistics Fundamentals - 2 ECTS Programming for Data Science (em Pyhton) and Analyzing & Visualizing Data - 3 ECTS Data Engineering & Workflow Automation - 3 ECTS Artificial Intelligence and Aplications - 2 ECTS Introduction Machine Learning - 2 ECTS Deep Learning Neural Networks - 2 ECTS Final Project - 2 ECTS

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.