Project Market and Social Research
- Faculty
Faculty of Agricultural Science and Landscape Architecture
- Version
Version 1 of 03.07.2025.
- Module identifier
44B0853
- Module level
Bachelor
- Language of instruction
English
- ECTS credit points and grading
5.0
- Module frequency
only summer term
- Duration
1 semester
- Brief description
The "Empirical Research Project" module enables students to apply the methods and tools learned in the "Fundamentals of Market and Social Research" and "Empirical Case Studies" modules in practice. In small project groups, students develop their own research questions and select suitable empirical methods for their work. The projects can be linked to existing research projects at Osnabrück University of Applied Sciences or carried out in a practice-oriented manner in collaboration with corporate partners. The module offers a project-based in-depth study of empirical research methods, data analysis and statistical evaluation using R, as well as scientific working methods.
- Teaching and learning outcomes
Development of research questions and hypotheses
Identification of suitable data collection and analysis methods
Design of an empirical study
Elaboration of the state of knowledge on the research question
Data collection and analysis
Preparation, communication, and discussion of research results
- Overall workload
The total workload for the module is 150 hours (see also "ECTS credit points and grading").
- Teaching and learning methods
Lecturer based learning Workload hours Type of teaching Media implementation Concretization 50 Learning in groups / Coaching of groups Presence or online - Lecturer independent learning Workload hours Type of teaching Media implementation Concretization 100 Work in small groups -
- Graded examination
- Presentation or
- Written examination or
- oral exam
- Remark on the assessment methods
The standard examination is the presentation (alternative examination will be chosen by the examiner if necessary and will be announced at the beginning of the course)
- Exam duration and scope
The examination consists of a presentation of the research results, for which suitable slides must be prepared and submitted. The presentation should last a maximum of 45 minutes (including discussion). In addition, a written summary of the research results of a maximum of 10 A4 pages must be submitted.
- Recommended prior knowledge
Participation in this module requires in-depth knowledge of quantitative and qualitative data collection methods, as well as the analysis of research data using R and Tidyverse. This knowledge can be acquired, for example, in the modules "Tools of Market and Social Research" and "Empirical Case Studies."
- Knowledge Broadening
Students can define the essential aspects and steps of a research design and explain the differences between descriptive, exploratory, and causal research approaches.
Students can describe the advantages and disadvantages of different empirical methods in relation to a research question.
Students can explain typical errors in data collection and analysis and describe measures for avoiding these errors.
Students can outline and present the important statistical analysis methods used in market and social research.
Students can understand the requirements
- Knowledge deepening
Students can explain the different empirical research methods in detail and justify their application to specific research questions.
Students can discuss the challenges and limitations of different research designs and propose appropriate solutions.
Students can differentiate the theoretical concepts and principles of data analysis and demonstrate their relevance to empirical research.
- Literature
Die empfohlene Literatur wird zu Beginn des Semesters bekannt gegeben, um eine hohe Aktualit?t gew?hrleisten zu k?nnen.
- Applicability in study programs
- Food Production Engineering and Business
- Food Production Engineering and Business B.Eng. (01.09.2025)
- Managing Sustainable Food Systems
- Managing Sustainable Food Systems B.Sc. (01.09.2025)
- Person responsible for the module
- Meseth, Nicolas
- Teachers
- Enneking, Ulrich
- Kussin, Matthias
- Meseth, Nicolas