Back
| Semester | fall semester 2022 |
| Course frequency | Every fall sem. |
| Lecturers |
Michael Beckmann (michael.beckmann@unibas.ch)
Julia Lisa Starzetz (julia.starzetz@unibas.ch, Assessor) |
| Content | HR analytics – the analysis of HR-related data – has the potential to improve central decision making processes in organizations. Whether in the recruitment process, in performance assessments or to understand why certain employees think about leaving an organization, increasingly, the gut instinct is being replaced by data-driven decision-making processes. In this course, possible opportunities of HR analytics will be addressed, as well as aspects that must be taken into account in order to realize these. Also, common difficulties and limitations of HR analytics will be discussed. This course will consist of input lectures, group discussions as well as practical project work. A more detailed syllabus can be found at the department website Human Resources and Organization before the start of the semester. |
| Learning objectives | - Obtaining an overview of how the use of data can improve how people are managed along the employee lifecycle - Learning about what needs to be considered when carrying out a HR analytics project - Application of the acquired knowledge and development of relevant recommendations for action within the scope of a group project |
| Bibliography | Relevant literature will be made available online. |
| Weblink | Syllabus |
| Admission requirements | There are no required prerequisites. |
| Course application | The number of participants is restricted to 21. If you are interested in participating, please send an e-mail to Julia Starzetz (julia.starzetz@unibas.ch) by September 6th, 2022, 12 pm (NEW: applications can still be sent in until September 18th, 2022, 6 pm). Please indicate: (1) your name, study major, number of semesters and matriculation number, (2) your knowledge in human resource management, business analytics and/or related fields, (3) why are you interested in participating (short motivation statement). This information helps us to assign you into groups. You will be notified by September 13th, 2022 (NEW: September 19th, 2022), if you have been admitted to the Colloquium. After being admitted to the course, please enroll in your Online Services. |
| Language of instruction | English |
| Use of digital media | No specific media used |
| Interval | Weekday | Time | Room |
|---|---|---|---|
| wöchentlich | Tuesday | 10.15-12.00 | Wirtschaftswissenschaftliche Fakultät, Seminarraum S16 HG.39 |
| Modules |
Module: Business Field: Human Resources (Master's Studies: Business and Technology) Module: Specific Electives in Labor Economics, Human Resources and Organization (Master's Studies: Business and Economics) Specialization Module: Labor Economics, Human Resources and Organization (Master's Studies: Business and Economics (Start of studies before 01.08.2021)) |
| Assessment format | record of achievement |
| Assessment details | In class presentations throughout the semester and a group assignment which has to be completed by the end of the course. |
| Assessment registration/deregistration | Reg.: course registration, dereg: cancel course registration |
| Repeat examination | no repeat examination |
| Scale | 1-6 0,1 |
| Repeated registration | as often as necessary |
| Responsible faculty | Faculty of Business and Economics , studiendekanat-wwz@unibas.ch |
| Offered by | Faculty of Business and Economics |