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Presentation
Presentation
The curricular unit focuses on the description and critical analysis of Information Systems and HR Analytics, with a particular focus on their importance for human resources management. Focus is placed on strategic human resources management practices in various contexts, and on how technology and information can contribute to the improvement of processes, relationships and results.
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Class from course
Class from course
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Degree | Semesters | ECTS
Degree | Semesters | ECTS
Master Degree | Semestral | 6
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Year | Nature | Language
Year | Nature | Language
1 | Mandatory | Português
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Code
Code
ULHT6626-23321
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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
1. Fundamentals of HR Analytics: What is HR Analytics / People Analytics; Evolution of data use in HR; HR Metrics vs. HR Analytics; Descriptive, Diagnostic, Predictive, and Prescriptive Analytics; Strategic value of HR Analytics for HR. 2. HR Metrics, KPIs, and HR Problems: Main HR metrics; Turnover, retention, absenteeism, recruitment, engagement, performance, etc.; From metric to KPI and the managerial issue; How to transform an HR problem into an issue that can be analyzed through data. 3. HR Analytics, strategy, and decision-making: Evidence-based HR; Use of data in decision-making; Limitations of evidence and interpretation of results; Relationship between analytics, HR strategy, and organizational results; Ethical issues associated with the use of employee data. 4. HR Analytics application cases: Presentation of some HR problems/cases. Challenge-Based Learning - Developing an IS proposal focused on Human Resources Management
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Objectives
Objectives
This course aims to provide students with fundamental knowledge about HR Analytics, enabling them to understand the role of data and indicators in Human Resources Management and in supporting decision-making. It also seeks to develop skills for the analysis and interpretation of HR data, the construction of metrics, KPIs, and dashboards, as well as competencies to link operational information with strategic decisions. Students should also be able to critically analyze evidence, considering its limitations and the ethical issues associated with the use of employee data.
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Teaching methodologies
Teaching methodologies
Expository methodology alternating with practical work in the scope of information presentation and data analysis. Active methodology - Challenge-Based Learning (CBL) - promoting active learning and the development of critical skills for problem-solving. Assessment: Test - 50% CBL - 50%
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References
References
Pimenta de Brito, A., & Palma-Moreira, A. (2026). Human resource analytics and data-driven decision-making: Case of the commercial airline sector in Portugal. Springer. Laudon, K. C., & Laudon, J. P. (2020). Management Information Systems: Managing the digital firm. Pearson. Rainer Jr, R. K., & Cegielski, C. (2016). Introdução a sistemas de informação: apoiando e transformando negócios na era da mobilidade. Elsevier Brasil. López, Y. (2014). Sistemas de Informação para a gestão. Escolar Editora.
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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
Teste de avaliação
a definir
40%
CBL
a definir
60%
(...)
..
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Mobility
Mobility
No





