Master's Programme in Business Administration (5 years)
Language of instruction
Business Analytics 1 or equivalent
After completing this course, students should be able to:
Describe the general research process in a quantitative research project
Understand which research questions can be answered using quantitative method
Have knowledge about and understand the assumptions that linear regression analyzes are based on
Be able to perform and interpret linear regression analyzes using appropriate software
Understand the difference between correlation and causality
Be able to interpret and critically evaluate empirical research.
The main focus of Business Analytics 2 is to give students a thorough introduction to statistical analysis techniques used in econometrics. In the course, special emphasis will be placed on linear regression analysis and its extensions. Students will learn how the methods taught can be applied to analyze data using statistical program (STATA). The course builds on Business Analytics 1.
Lectures, groupwork and DataLab (STATA). Estimated workload is about 200 hours.
Approved compulsory assignments. More information will be provided at the start of the semester.
Assessment methods and criteria
3 hour written examination. Graded by letters.
The person responsible for the course, in consultation with the student representative, decides the method of evaluation and whether the courses will have a midterm- or end of term evaluation, see also the Quality System, section 4.1. Information about evaluation method for the course will be posted on Canvas.