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IESEG School of Management ( IÉSEG )

Code Cours :



Niveau Année de formation Période Langue d'enseignement 
MSc in Business Analysis & Consulting1S1English
Professeur(s) responsable(s)M.BUISINE
Intervenant(s)Matthieu BUISINE

Pré requis

Basic knowledge of Excel (graphs, formulas…)
Basic statistical knowledge: scatter Plots, mean, standard deviation, linear correlation…
Reading statistical tables
Inferential Statistics: hypothesis testing, confidence interval on the mean..

Objectifs du cours

At the end of the course, the student should be able to :
Select graphs and avoid mispresentation of data
- Cross check data, identify outliers and solve missing data problems
- Collect data using surveys and sampling methods
- Understand the importance of wording and variable description
- Master basic tools: correlation, box plot, distributions, payoff tables…
- Select the relevant method: Baye's analysis, confidence intervals, parametric and non parametric tests… and be able to check assumptions (normality…)
- Analyze numerical and especially categorical data
- Master SPC/SQC: Pareto, Acceptance Sampling, Capability, Control charts, Decision Rules
- Link statistics with management methods and quality tools such as the six-Sigma
- Construct normal and standard form of an optimization problem and solve it
- Use a professional sotfware

Contenu du cours

I Basics: Probabilities, discrete and continous distributions, sampling, confidence intervals
II Hypothesis Testing: assumptions, parametric and non parametric tests, independent and paired samples, categorical data
III Decision rules and decision making: payoff tables, decision trees
IV Quality tools: SQC, Tolerance, specification, lot acceptance sampling
V Process management: SPC, Capability, control charts, decision rules
VI Optimization methods: canonical, standard form, solver, sensitivity analysis
V Multivatiate analysis: FA, PCA, DA

Modalités d'enseignement

Organisation du cours

TypeNombre d'heuresRemarques
Face to face
Independent work
Reference manual 's readings12,00  
Independent study
Individual Project20,00  
Estimated personal workload40,00  
Charge de travail globale de l'étudiant146,00  

Méthodes pédagogiques

  • E-learning
  • Interactive class
  • Case study
  • Coaching


Assessment focusses on practical knowledge: the continuous assesment takes into account weekly case studies. The final exam is an open-book exam with a practical case.

Type de ContrôleDuréeNombrePondération
Continuous assessment
Final Exam
Written exam4,00160,00
Case study0,00030,00
TOTAL     100,00

* Informations non contractuelles et pouvant être soumises à modification
Vidéo : Un campus à vivre
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