Academic year
2022/2023 Syllabus of previous years
Official course title
Course code
EM1028 (AF:358723 AR:187319)
On campus classes
ECTS credits
Degree level
Master's Degree Programme (DM270)
Educational sector code
2nd Term
Course year
Go to Moodle page
The course aims to develop students' knowledge in the analysis of economic and business data, and to develop students' skills to apply the knowledge transmitted during the course to the real context, with particular attention to the choice of the most appropriate methods.. This way, students will be able to independently conduct a data analysis with the aim of supporting decision making.
Students at the end of the course are expected to:
1. know the main statistical tools for multivariate data analysis to obtain information from observed data;
2. apply the method and models learned during the course to the real context, using appropriate software;
3. be able to conduct, independently, a study of economic-business data
4. to present the results of their analysis starting from the relevant business-economic context
Basic knowledge of probability and statistics
1. Introduction to the course
2. How to conduct a data analysis: research design
3. Data collection and Analysis
a. Basics of Business Analytics
b. Multivariate Statistical Analysis for business data
Commented slides and R scripts will be uploaded on the moodle page during the course.
The main referral text for further deepening and case studies is:
Malhotra, N.K., 2018, Marketing Research: An Applied Orientation (7th edition). Pearson.
The achievement of the course objectives will be assessed through a written exam and the delivery of a project work.
Lectures will be complemented by R lab sessions
Slides and notes will be available on moodle during the course.
Definitive programme.
Last update of the programme: 15/09/2022