Master's degree Analysis, Data Management and Innovation
Entry requirements
First- or second-year Master’s in all fields.
Benefits of the program
This course is mainly taught by professionals from the business world so that students can have a practical vision of the knowledge acquired.
Acquired skills
Learn about data science and the role of economic intelligence in decision-making. In a world where companies are constantly seeking a competitive advantage, data science has become a valuable tool for gaining a competitive edge.
If you are interested in the possibilities offered by data science and want to learn useful skills for effectively analysing data in order to make smarter decisions, you should consider a career in data science.
The Analysis, Data Management and Innovation course will give you the skills to apply a range of machine-learning algorithms and interpret the results correctly in the light of context. You will also learn how to perform statistical analysis on datasets to identify their common characteristics and trends, and how to present this information in a clear and convincing format. You will be able to easily gather relevant information from multiple sources and use this to make more informed decisions about your business or organisation.
This course will give you the skills you need to develop your career. As an expert in data analysis and mining, you will be well placed to meet the differend needs of today's technology sector.
Capacities
35
Course venue
Your future career
Graduates from this course go on to work in a wide variety of sectors, including banking, insurance, consultancies, telecom, etc
Professional integration
100% of our graduates enter the professional world at the end of their training.
Study objectives
Train students who are familiar with the world of big data in a range of sectors and are equipped to work in large companies or consultancies.
Major thematics of study
Monitoring, Data, Data analysis, Data mining, Data visualisation, Machine learning.
Calendar
The work placement period is 16 weeks. For students on work-study programmes, the in-company period is 38 weeks.
Options
Introductory modules are planned for each teaching unit to review the fundamentals. Students are provided with basic, up-to-date bibliographies in a range of subjects.
Year 2
| Courses | ECTS | CM | TD | TP |
|---|---|---|---|---|
|
UE Analyse de données
| 10 | |||
|
Propriété intellectuelle
CONNAITRE L'ENVIRONNEMENT DE LA PROTECTION DES DONNEES ET DES BREVETS
Teaching language FRANÇAIS / FRENCH | 1 | 7h | 7h | |
|
Data Science
CONNAITRE LES MODELES DE DATASCIENCE ET APPLICATION DANS L'EMERGENCE DE L'AIDE A LA DECISION
Teaching language FRANÇAIS / FRENCH | 2 | 10.5h | 10.5h | |
|
Extraction de connaissance Textometrie
SAVOIR ANALYSER UN TEXTE AVEC DES OUTILS DE TEXTOMETRIES: EXEMPLE AVEC TEXTOPOL AFIN DE MIEUX SAISIR L'INFORMATION CONTENUE
Teaching language FRANÇAIS / FRENCH | 1 | 7h | 7h | |
|
Visulatisation de données (DataViz)
SAVOIR VISULAISER DES DONNEES EXTRAITES DE DIFFERENTES BD AVEC POWER BI ET CONSTRUCTION D'UN TABLEAU DE BORD
Teaching language FRANÇAIS / FRENCH | 2 | 10.5h | 10.5h | |
|
Statistiques appliqués et Datamining
CONNAISSANCE DES OUTILS DE DATAMINING WEKA ET SAS ET LA CONSTRUCTION D'UN SI
Teaching language FRANÇAIS / FRENCH | 2 | 10.5h | 10.5h | |
|
Intelligence économique & Veille
Teaching language FRANÇAIS / FRENCH | 2 | 7h | 7h | |
|
UE Gestion de connaissance
| 11 | |||
|
Ingénierie de la connaissance
COMMENT CONSTRUIRE UN ECOSYSTEME EN SI ET LES DIFFERENTES CONNEXION AUX SI COMME LE MODE SAAS.
Teaching language FRANÇAIS / FRENCH | 3 | 10.5h | 10.5h | |
|
Organisation et stratégie informationnelle des entreprises
Teaching language FRANÇAIS / FRENCH | 2 | 10.5h | 10.5h | |
|
Système d'information et Business Intelligence BI
EXPLIQUER LE ROLE DES TABLEAUX DE BORD EN BI ET CONCEVOIR UNE APPROCHE DECISIONNELLE SUR LA BASE DES TABLEAUX BORDS
Teaching language FRANÇAIS / FRENCH | 2 | 10.5h | 10.5h | |
|
Outils collaboratifs et gestion des connaissances
SAVOIR METTRE EN PLACE UN ENVIRONNEMENT DE CONNAISSANCE ET CONCEPTUALSER UN PROJET KM AVEC DES OUTILS COMME ALFRESCO
Teaching language FRANÇAIS / FRENCH | 2 | 7h | 7h | |
|
Big Data
BIGDATA ET ANALYTICS. L'ENVIRONNEMENT BIGDATA ET LES ECOSYSTEMES COMME AMAZON WEB SERVICE ET DEVOPS
Teaching language FRANÇAIS / FRENCH | 2 | 7h | 7h | |
|
UE Management des données
| 16 | |||
|
Strategic Management of Information Systems
LE MANAGEMENT DANS UN ENVIRONNEMENT TECHNOLOGIQUE ET L'EMERGENCE DE L'INNOVATION
Teaching language ANGLAIS / ENGLISH | 2 | 10.5h | 10.5h | |
|
Analyse de l’information et web 2.0
DE L'EXTRACTION DES DONNEES ET DE SON ANALYSE DANS UNE APPROCHE WEB 2.0 ET APPLICATION AU DIGITAL MARKETING
Teaching language FRANÇAIS / FRENCH | 2 | 10.5h | 10.5h | |
|
Lexicometrie et Community Management
COMPREHENSION DE LA LEXICOMETRIE ET QUEL POURRAIT EN ETRE SON USAGE NOTAMENT DANS LE COMMUNITY MANAGEMENT
Teaching language FRANÇAIS / FRENCH | 2 | 7h | 7h | |
|
Data management et Open User Innovation
COMPRENDRE UNE NOUVELLE APPROCHE D'INNOVATION A SAVOIR L'OPEN USER INNOVATION ET LE ROLE DES OUTILS DANS CETTE FORME D'INNOVATION
Teaching language ANGLAIS / ENGLISH | 2 | 10.5h | 10.5h | |
|
Stratégie et modèles décisionnels
LA FINALITE DES DATASCIENCES ET DES MODELES PREDICTIFS EN TERME DE DECISION. APPROCHE DECISIONNELLE SOUS L'ANGLE DE LA THEORIE DES JEUX ET DES NEUROSCIENCE
Teaching language FRANÇAIS / FRENCH | 3 | 17h | 18h | |
|
Marketing et Data Driven Market
LES ENJEUX DU MARKETING ET LA CONSTRUCTION D'UN PLAN MARKETING ET LES DATA DANS CETTE PERSEPECTIVE DECISIONNELLE
Teaching language FRANÇAIS / FRENCH | 2 | 21h | ||
|
Business strategy
COMMENT BATIR UNE STRATEGIE POUR L'USAGE DES BIGDATA
Teaching language FRANÇAIS / FRENCH | 2 | 7h | 7h | |
|
Décision Economie comportementale et théorie des jeux
LA DECISION VUE SOUS UN ANGLE DE L'ECONOMIE COMPORTEMENTALE ET INTRODUCTION A LA THEORIE DES JEUX
Teaching language FRANÇAIS / FRENCH | 1 | 10.5h | 10.5h | |
|
UE optionnelle 1
| 3 | |||
|
Management de projet
CREATION DE SITE WEB PERFORMANT: USAGE DE FRAMEWORK ET CONNEXION AUX BASES DE DONNEES ET EXTRACTION DE L'INFORMATION
Teaching language FRANÇAIS / FRENCH | 2 | 10.5h | 10.5h | |
|
Conferences
CREATION DE L'INFORMATION ELABOREE GRACE A LA MANIPULATION DES DONNEES ET PROJET SOUS PYTHON
Teaching language FRANÇAIS / FRENCH | 1 | 14h | ||
|
UE optionnelle 2
| 3 | |||
|
Outils de dévelopement & Analyse d'information
MAITRISE DES OUTILS DE GESTION DE PROJETS AVEC CERTIFICATION PRINCE2
Teaching language FRANÇAIS / FRENCH | 1 | 10.5h | 10.5h | |
|
Conférences
Teaching language FRANÇAIS / FRENCH | 2 | 14h | ||
|
UE Professionnelle
| 20 | |||
|
Mémoire
Teaching language FRANÇAIS / FRENCH | 12 | |||
|
Stage en entreprise
Teaching language FRANÇAIS / FRENCH | 8 |
Valérie PAYET
Isabelle LE GOUILL
Partners
