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.


Upon successful completion of this course, a student will:

  • Be better able to interpret and critically assess the execution of empirical business/management studies from a methodological standpoint
  • Collect, analyze/model and interpret quantitative data
  • Understand the uses and limitations of common quantitative data analysis techniques
  • Be prepared to undertake a Master's thesis adopting a quantitative approach

Credits: 3

Schedule: 22.10.2024 - 29.11.2024

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


  • valid for whole curriculum period:

    This course is designed to introduce students studying in various areas of business to the principles and practice of quantitative research. The course covers: the fundamentals of the research process, an introduction to quantitative data collection methods, the statistical analysis and modeling of data; all with a focus on issues specific to business/management studies and an emphasis on hands-on experience. 

    Topics covered in the course include: hypotheses formulation and data collection; survey and questionnaire design; preparation of survey data, such as importation into SPSS, variable transformations, and reliability assessment of multi-item measurement scales; descriptive statistics, such as means, standard deviations, and correlations; and hypotheses tests, such as t-Tests, ANOVA, non-parametric tests, and linear regression.

Assessment Methods and Criteria
  • valid for whole curriculum period:

    Based on attendance and successful completion of assignments.

  • valid for whole curriculum period:

    Lectures introducing theoretical concepts and techniques, and providing the opportunity to apply them in practice using SPSS.

    In first week (Period II or IV), there are two lectures, the first one is an introductory lecture organized together with the course MNGT-E1011 Qualitative Methods.

    Mandatory attendance to 5 out of 7 lectures.

    Assessment based on individual assignments.


Study Material
  • valid for whole curriculum period:

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

Substitutes for Courses


Further Information
  • valid for whole curriculum period:

    Teaching Language: English

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


    Students are admitted to the course in the following priority order 1) People Management and Organizational Development / Creative Sustainability / Global Management students, 2) other Master's students of Department of Management. This course is offered only for Master's students of Department of Management.