Talent Development and Analytics

2019-2020

Course Objective

Academic 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
learning challenges.
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 Content

The 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
of study.

Teaching Methods

Lectures
Tutorials (computer tutorials + regular tutorials)

Method of Assessment

Individual digital exam
Group assignment
Individual assignment

Entry Requirements

No requirements

Literature

Selection of academic articles.

Target Audience

Available for Master students in Business Administration

Recommended background knowledge

The 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,
causality).

General Information

Course Code E_BA_TDA
Credits 6 EC
Period P3
Course Level 400
Language of Tuition English
Faculty School of Business and Economics
Course Coordinator dr. S. Nijs
Examiner dr. S. Nijs
Teaching Staff

Practical Information

You need to register for this course yourself

Last-minute registration is available for this course.

Teaching Methods Study Group, Lecture
Target audiences

This course is also available as: