Applied HR Analytics

Brief description

  • Recap of HR Analytics
  • HR Controlling
o HR Report
o HR Dashboard
o Leading and lagging indicators
o KPIs
  • People Analytics
o Costs per hire
o Age structure analysis
o Fluctuation
o Validation of selection process
o Evaluating HR measures
o Evaluating the effectiveness of training
o Forecasting employee performance

Mode of delivery

face to face

Type

compulsory

Recommended or required reading and other learning resources/tools

Edwards, M. und Edwards, K. (2019). Predictive HR Analytics: Mastering the HR Metric. Kogan Page.

Planned learning activities and teaching methods

Lecture, discussion, presentation, feedback, e-learning, self-organised learning, exercises

Assessment methods and criteria

Continuous assessment and final written exam

Prerequisites and co-requisites

Course Quantitative Research Methods and Statistics

Infos

Degree programme

Digital HR & angewandtes Arbeitsrecht

Cycle

Master

ECTS Credits

3.00

Language of instruction

German

Curriculum

Part-Time

Academic year

2025

Semester

2 SS

Incoming

No

Learning outcome

After successful completion of the course, the students can

  • analyse HR-related administrative and processual data
  • translate current questions of HR Management into specific hypotheses and investigate them with statistical methods
  • analyse key performance indicators
  • apply BI-tools and dashboards
  • make decisions concerning employees, cooperation and communication based on data protection regulations
  • make predictions based on collected data sets and describe connections

Course code

1705-21-01-BB-DE-20