MNGT-E1019 - People and Organizational Analytics, Lecture, 24.2.2025-8.4.2025

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Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.

LEARNING OUTCOMES

Upon completing this course, a student will:

  • Understand the basic principles and applications of contemporary analytics methods in the context of people management
  • Identify people questions/problems that can be addressed using data 
  • Select and apply suitable analytics methods for a given question/problem, mindful of contextual parameters
  • Interpret and visualize analysis insights to inform problem solving and decision making
  • Understand the uses and limitations of common analytical techniques

Credits: 6

Schedule: 24.02.2025 - 08.04.2025

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Anastasia Koulouri

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content

  • valid for whole curriculum period:

    The aim of the course is to create an overall understanding of key considerations when combining people management with analytics and data. It provides an overview of the areas where analytics can and have been used in combination with people management, the emergence and evolution of the field of people analytics, the challenges in implementing and using people analytics in practice, and the different types of analytics (descriptive, diagnostic, predictive and prescriptive). The course then focuses on applying different statistical techniques in the context of people management to analyze and visualize data, as well as on interpreting findings and drawing conclusions in order to gain insights.

Assessment Methods and Criteria

  • valid for whole curriculum period:

    Participation

    Successful completion of individual assignments and end-of-course exam.

     

Workload

  • valid for whole curriculum period:

    Lectures and small group labs

    Assessment based on individual assignments and an end-of-course exam

    Mandatory attendance to 4 out of 6 lectures and 4 out of 6 labs.

    Note that the lab groups will be organised only if they have at least 12 students registered. When registering, please mark all the groups that suit your schedule.

DETAILS

Study Material

  • valid for whole curriculum period:

    Course materials (including slides, SPSS lab notes, exercises and associated comnnetary, datasets) as well as videos, books and journal articles.

Substitutes for Courses
Prerequisites
SDG: Sustainable Development Goals

    8 Decent Work and Economic Growth

    10 Reduced Inequality

FURTHER INFORMATION

Further Information

  • valid for whole curriculum period:

    Teaching Language: English

    Teaching Period: 2024-2025 Spring IV
    2025-2026 Spring IV

    Registration:

    Students are admitted to the course in the following priority order 1) People Management and Organizational Development students, 2) other students. Maximum number of students 60.

Rules of Conduct - Students´ Rights and Responsibilities (in force from 1 August 2020)

Aalto University Code of Academic Integrity and Handling Violations Thereof