Research Methods MSB104
Solving complex tasks and presenting them in a scientific manner is the core of modern business analytics. Solving such tasks requires training, which is at the heart of this course. The course builds on the Data Analytics course and brings its content to a practical application. It is challenged-based and improves the students’ abilities in scientific writing and group work.
Course description for study year 2022-2023. Please note that changes may occur.
MSB104
1
10
Spring
1
Spring
English
Course does not start before spring 2023
- The foundations of empirical research
- How to design and structure empirical studies to address a real-world business challenge
- How to go about collecting data in order to address the business challenge at hand
- How to solve these challenges by utilizing empirical data and advanced empirical tools
- How to convincingly present empirical insights
Knowledge
On completion of the course, students will be able to:
- Understand the academic writing and publishing process
- Systematically and critically review an existing body of empirical literature
- Formulate relevant research questions
- Develop an appropriate empirical research design
- Collect and analyse quantitative data
- Conduct high-level empirical analysis and adequately present their results
Skills
Students will be able to:
- Digest and evaluate scientific research
- Use data analytics in empirical problems
- Conduct an empirical study of high scientific quality
- Develop and critically assess research hypotheses and questions
Form of assessment | Weight | Duration | Marks | Aid |
---|---|---|---|---|
Group project | 1/1 | Letter grades |
The course is assessed based on a student group project with a joint grade for all students in one group.
In this course, you will learn through group work, individual study and consultation with the course supervisor.
Expectations: 280 ECTS hours divided between lectures, meetings, independent study, and out-of-class (group) work.
Course | Reduction (SP) |
---|---|
Research Methods for Business Sciences (MØA103) | 10 |
Data Analytics and Research Methods (MØA112) | 10 |
Data Analytics and Research Methods (MSB112) | 10 |
() | 20 |
() | 20 |
() | 30 |
() | 30 |