Information on individual educational components (ECTS-Course descriptions) per semester

Data Collection and Interpretation

Degree programme International Management and Leadership
Subject area Business and Management
Type of degree Master
Summer Semester 2024
Course unit title Data Collection and Interpretation
Course unit code 080322021002
Language of instruction English
Type of course unit (compulsory, optional) Compulsory
Teaching hours per week 1
Year of study 2024
Level of the course / module according to the curriculum
Number of ECTS credits allocated 3
Name of lecturer(s) Verena BONELL-FOLIE, Florian BÜHLER, Markus FEDERAU
Requirements and Prerequisites

Opportunity Analysis and Framing, Research Methods

Course content
  • designing a data collection to implement a specific research project
  • survey design
  • (semi)structured interview design
  • case study analysis
  • multivariate analysis, e.g. factor analysis, regression analysis
  • correlation analysis
  • validity, reliability testing
  • usage of tools (SPPS, MaxQDA , …)
  • represenation of results (research paper)
Learning outcomes

Empirical research Is a key component of business analysis, particularly in a digital world. Thus students need to be familiar with different tools and practices to collect, analyse and interprete data for business purposes.
This course will prepare students to

  • design empirical data collection concepts In line with different research methods
  • suggest and select appropriate methods for the intended research
  • analyse collected data with appropriate methods and tools to enable interpretation
  • interprete results from the analysis and reflect the academic quality criteria of the research
  • recognize the limitations of the findings and suggest further future research
  • present the results in a report / research paper style format
Planned learning activities and teaching methods
  • Project group work
  • Coaching
Assessment methods and criteria

Project Report


Course will be closely connected to the course “Research Methods”

Recommended or required reading
  • Nunan, Daniel, Birks, David F, Malhottra, Naresh K. Marketing Research, Applied Insights, 6ed, Harlow, United Kingdom, Pearson 2020
  • Heidig. W. / Dobbelstein, T.: Quick Guide Marktforschung im Mittelstand, Wiesbaden 2021
  • Denzin, Norman K. The Sage Handbook of Qualitative Research. 4. Book, Whole. Los Angeles, California: Sage Publishing, 2011.
  • Provost, Foster, and Tom Fawcett. Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking. 1. Book, Whole. Sebastopol, California: O’Reilly, 2013.
  • Bryman, Alan, and Emma Bell. Business Research Methods. 3. Book, Whole. Oxford: Oxford University Press, 2011.
Mode of delivery (face-to-face, distance learning)

Hybrid and Coaching with madatory presence parts