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Presentation
Presentation
The course is situated within the domain of data privacy, ethics, and security in Data Science, addressing the protection of information throughout the data lifecycle. It integrates legal frameworks (with emphasis on the GDPR), cybersecurity fundamentals, privacy-preserving technologies, and data governance principles. Its area of application lies at the intersection of Data Science, Artificial Intelligence, cybersecurity, and regulation, being relevant to sectors such as healthcare, finance, and digital services. The scope includes risk identification and mitigation, application of techniques such as anonymization and differential privacy, privacy impact assessment, regulatory compliance, and analysis of ethical issues such as bias and transparency. Its relevance lies in training professionals capable of developing robust, secure, and responsible solutions aligned with increasingly critical legal and societal requirements.
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Class from course
Class from course
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Degree | Semesters | ECTS
Degree | Semesters | ECTS
Master Degree | Semestral | 7
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Year | Nature | Language
Year | Nature | Language
1 | Mandatory | Português
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Code
Code
ULHT6347-25228
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Prerequisites and corequisites
Prerequisites and corequisites
Not applicable
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Professional Internship
Professional Internship
Não
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Syllabus
Syllabus
Introdução à ética Apresentação dos conceitos fundamentais sobre ética como filosofia moral. Considerações éticas na Ciência de Dados e na IA Análise de questões éticas, incluindo viés algorítmico, justiça, transparência e impacto social dos sistemas baseados em dados. Governação e responsabilidade de dados Estruturas organizacionais para gestão de dados, incluindo classificação, controlo de acesso, auditoria e mecanismos de responsabilização. Tecnologias de preservação de privacidade Introdução a técnicas como anonimização, pseudonimização, privacidade diferencial, computação segura e criptografia. Estruturas legais e regulatórias Estudo dos principais enquadramentos legais, com destaque para o RGPD, bem como outras legislações relevantes e os seus impactos na prática da Ciência de Dados.
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Objectives
Objectives
At the end of the course, students should be able to understand the fundamental principles of data privacy, ethics, and security in Data Science, including relevant legal frameworks such as the GDPR. They will be able to identify and assess risks related to data handling, apply privacy-preserving techniques such as anonymization and differential privacy, and recognise common cybersecurity threats and vulnerabilities. Students will develop the ability to evaluate ethical implications of data-driven systems, including issues of bias, fairness, and transparency. They will also acquire skills to design and implement data governance strategies, conduct privacy impact assessments, and ensure regulatory compliance. Overall, students will be prepared to develop data science solutions that are secure, responsible, and aligned with legal and ethical standards.
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Teaching methodologies
Teaching methodologies
Also include the innovative methodologies used to support the teaching and learning process
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References
References
Katharine Jarmul, Practical Data Privacy: Enhancing Privacy and Security in Data, O'Reilly Media, Inc., 2023. Pedro Galvão (org.), Filosofia: Uma Introdução por Disciplinas, Edições 70, 2012.
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Assessment
Assessment
Descrição dos instrumentos de avaliação (individuais e de grupo) ¿ testes, trabalhos práticos, relatórios, projetos... respetivas datas de entrega/apresentação... e ponderação na nota final.
Exemplo:
Descrição
Data limite
Ponderação
Trabalho de apresentação
15-12-2025
40%
Trabalho prático
60%
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Mobility
Mobility
No
