Syllabus overview (public)

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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
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
  • Franck Jaotombo,


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.


QF05 Quantitative Methods or equivalent