Course ObjectiveAcademic and Research Skills:
Students are able to analyze and optimize real-life or fictitious Talent
Development challenges of organizations by applying insights into
learning theories and HR-analytics.
Knowledge of Theory and Methods, and Solving Complex Problems:
Students are able to explain, integrate and apply key learning theories
to Talent Development & Management topics.
Students are able to explain, integrate and apply knowledge on
HR-analytics to Talent Development & Management topics.
Professional Social Skills:
Students demonstrate the social and professional competences to
translate collaborative efforts into a substantiated group paper on
Students demonstrate the social and professional competences to write an
individual paper on HR-analytics in which they discuss methods for and
results of HR-analytics in an understandable way.
Horizon Beyond Professional Area:
Students understand the value of evidence-based management in general
and the new roles and responsibilities this brings for HR professionals.
Course ContentThe Talent Development and Analytics course will help you prepare for
your future role as HR-professional by providing you with the ins and
outs of the Talent Development and HR-analytics field. You will learn
how to design learning activities and measure their effectiveness. More
specifically this course has two main goals:
(1) to provide students with state-of-the-art knowledge and theory about
developing talent in contemporary organizations;
(2) to provide students with the skills and knowledge necessary to work
with HR data and help them understand how this can be used to achieve
evidence based development practices. Using real-life learning and
development dilemmas and data, the course will prepare students to
become a front runner and expert in an important, yet very young field
Tutorials (computer tutorials + regular tutorials)
Method of AssessmentIndividual digital exam
Entry RequirementsNo requirements
LiteratureSelection of academic articles.
Target AudienceAvailable for Master students in Business Administration
Recommended background knowledgeThe course builds on knowledge of the HRM function (part of period 1
courses in the Master of HRM) and on academic research skills. That
means that students should have a basic understanding of statistical
principles (e.g., mean, standard deviation, effect sizes, correlation,
|Language of Tuition||English|
|Faculty||School of Business and Economics|
|Course Coordinator||dr. S. Nijs|
|Examiner||dr. S. Nijs|
You need to register for this course yourself
Last-minute registration is available for this course.
|Teaching Methods||Study Group, Lecture|
This course is also available as: