Objectives of Programme's Learning Outcomes

• Mobilise expertise in at least one area of management.
• Master the principal decision-making processes of a company.
• Professionally communicate and present original work both orally and in writing.
• Conduct scientific reasoning on complex or innovative management issues.
• In an active and integrated manner, master knowledge in the various fields of management and use them effectively in a professional context.
• Integrate highly specialised knowledge in different fields of management.

Learning Outcomes of UE

At the end of this course, students will be able to apply a series of econometric tools (time series analysis) and advanced statistics (data analysis) useful for empirical analysis in the field of management. Students will also learn how to use the software Stata.

Content of UE

Univariate and multivariate time series analysis : ARMA, unit root and stationarity tests, VAR, ARCH and GARCH models, ... Data analysis : principal components, factorial analysis, clusters, ...

Prior Experience

matrix calculus, probality and statistical inference, OLS, Stata Statistics I and II, Econometrics I

Type of Assessment for UE in Q1

• Presentation and works
• Written examination

Q1 UE Assessment Comments

Weighting : 1/3 works by groups, 2/3 written examination

Type of Assessment for UE in Q2

• N/A

Q2 UE Assessment Comments

Not applicable

Type of Assessment for UE in Q3

• Oral examination
• Written examination

Q3 UE Assessment Comments

Based on the number of students, written or oral examination

Type of Resit Assessment for UE in Q1 (BAB1)

• N/A

Q1 UE Resit Assessment Comments (BAB1)

Not applicable