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Talent Management

Talent Management

Code: HRM3LF103
Extent: 5 ECTS  
Timing: semester 4
Language: English
Curriculum: GLOBBA16
Course level: Specialisation Studies
Course type: compulsory for HRM specialisation students

Starting level and linkage with other courses
Prerequisite: HRM1LF101 Basics of Human Resource Management or equivalent competence.

Learning outcomes
You know the objectives, elements, tools and processes of performance management, can analyse their functionality and suggest improvements. You understand how employees can be motivated and engaged through total reward management. You also know the importance of managing employee wellbeing and the methods and processes to manage it. You know the purpose and process of exit management. You can use quantitative methods to measure and analyse employee engagement, wellbeing and satisfaction through surveys.


  • performance management
  • total rewards
  • employee engagement
  • wellbeing at work and managing work-related stress
  • exit management
  • employee surveys
  • quantitative data analysis (descriptive statistics, graphical presentation, correlation)
  • statistical inference
  • interpreting and reporting quantitative research findings.
  • assessing the validity and reliability of results

Recognising and validating prior learning (RPL)
If you have acquired the required competence in previous work tasks, recreational activities or on another course, you can show the competence with a demonstration and progress faster through your studies. More information and instructions for RPL are available at MyNet.

Cooperation with the business community
Company guest speakers and/or students interview a company representative of their own choosing and/or other feasible forms of cooperation.

Assignments will make use of international business cases and examples. Multicultural teamwork.

Coourse formats
Contact and distant sessions or virtual course or educationalisation.

Students' performance is graded on the following scale: Excellent (5), Very good (4), Good (3), Satisfactory (2), Fair (1), Fail (0).
A link to the joint assessment grid. The assessment of one’s own learning.

Course teacher(s)
Anita Pösö, Elizabeth San Miguel

Learning materials
Materials to be announced in the implementation plan.