Syllabus overview (public)

Programme	Master in Management
Academic Year	Academic Year 2023/2024
Module/course Code	MX32
Delivery location	Paris
Language	English
Course type	Elective courses 30h
Contact hours	30
ECTS	5
Level	5 (year post baccalaureate)
Semester	Spring
Module name	Applied Multivariate Data Analysis
Field (Discipline)	Mathematics and statistics for Business
Academic Department	Information & operations Management
Speaker(s)	Franck Jaotombo, fjaotombo@escp.eu

Outline

Module/course Summary

This course is reserved for students registered in OP90 - Innovation and Competition in High-Tech specialisation.

The course provides an overview of the main multivariate data analysis methods that are most commonly used across all business-related fields. Students will be able to apply the real-world
analytical skills they acquire through this course to bring solutions to questions pertaining to the different HIGH-TECH industries. The course approach focuses on context applied data analysis using statistical software and functional interpretation of outputs, with limited emphasis on theoretical aspects.

Pre-requisite

QF05 Quantitative Methods or equivalent