Semester tution start
Language of instruction
Course does not start before spring 2023
The subject areas covered are:
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
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
Required prerequisite knowledge
Appropriate bachelor background in core business fields as well as mathematics for business/economic and statistics for business/economics.
Form of assessment
The course is assessed based on a student group project with a joint grade for all students in one group.
Group consultations with the supervisor
Students are required to attend all scheduled group consultations with the course supervisor for submitting their group work.
Method of work
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.
Master in Accounting and Auditing
Business Administration - Master of Science
Students will have the opportunity to give feedback on the course in an early dialogue and a written course evaluation.
Research Methods for Business Sciences (MØA103)
Data Analytics and Research Methods (MØA112)
Data Analytics and Research Methods (MSB112)
Search for literature in Leganto