Digital hr and analytics

A.A. 2021/2022
Crediti massimi
Ore totali
Obiettivi formativi
The course Digital HR and Analytics aims to contribute to the MSc Management of human resources goals by offering grounded in research and connected to practice tools to understand and manage the intersection of HRM and technology. As the importance of digital technologies in the management of people has increased, so has research on tools, processes, and theories for doing this more effectively. Moreover, the adoption of digital technologies for HR purposes has gradually increased the relevance of advanced data analysis and visualization models and techniques to enhance strategic decisions, thus serving the needs of executives and top decision-makers of the organization. Therefore, the focus of the course will be on how the transformation of the HR function through technology is leading HR processes to become automated and data-driven and the new ways to manage workers through technology and data. Students will develop a thorough understanding of the impact of digital technologies and HR analytics on HR systems and will critically reflect upon the new role of the HR function in handling the managerial challenges that such transformations pose.
Risultati apprendimento attesi
At the end of this course, students will be able to:
1. Define the main concepts and investigation areas related to digital HR and analytics
2. Describe the latest developments and challenges in the fields of digitalisation of HRM and HR analytics
3. Discuss the main theories useful to explain technology adoption and its effects in the HR domain
4. Consult and make a critical appraisal of the scientific literature on the major issues related to digital HR and HR Analytics
5. Identify and understand scientific evidence on success factors for the development and implementation of digital HR systems
6. Identify the various types of HR analytics useful to measure the effectiveness of digital HR practices implementation
7. Develop and assess digital HR solutions in order to face managerial challenges in the HR domain
Programma e organizzazione didattica

Edizione unica

Terzo trimestre
More specific information on the delivery modes of training activities for the academic year 2021/22 will be provided over the coming months, based on the evolution of the public health situation.
The Digital HR & Analytics course is structured around 3 main modules. The first module deals with the digital transformation of the HR function and describes how technology affects work that is performed within the HR function and its role within the company. The main theoretical approaches to explain changes and challenges affecting digital HR will be presented. The second module presents different e-HRM functional areas (e.g., e-recruitment, e-selection, e-learning, e-performance management) and the success factors for designing and managing them. Finally, the last module introduces the main managerial challenges in digital HR (e.g., e-leadership, managing virtual teams, dark side). Analytics concepts and methodologies will be spread across the three modules in order to show practical examples and applications to real digital HR problems.
Preliminary knowledge of Human Resource Management, Human Resources Information Systems, and Organizational Behavior is recommended.
Metodi didattici
The course is held through traditional lectures, small group activities, problem-based learning, case studies, and HR professionals and managers company testimonials under the guidance of the teacher.
The educational activities are supported by the Ariel platform of the University of Milan (
Materiale di riferimento
A list of references and recommended further reading to enable the students to gain a deeper awareness and understanding of each topic will be provided at the beginning of the course
Modalità di verifica dell’apprendimento e criteri di valutazione
The achievement of the expected learning outcomes will be assessed through:
1) a group project work on the development and assessment of a digital HR application (homework). Through the project work, each student will get a mark from 0 to 30 cum laude.
2) a written test based on 15 multiple-choice questions (MCQs) and 3 open-ended questions. As regards the MCQs, there will be only one correct answer and one point will be awarded for each correct answer (zero points for each wrong or missing answer). For each open-ended questions, the student will get a grade from 0 to 5. The final grade of the test (sum of the grade in the MCQs test + grade of the open questions) will go from 0 to 30 cum laude. The student will have 1.5 hours to complete the test.

The final mark will be the weighted average between the project work evaluation (30%) and the test (70%).
Lezioni: 60 ore
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