Data Analytics for Business

Build bridges between Data Science and Business

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Curriculum "Data Analytics for Business"

Admission level

Degree

Short Track

Admission level:

Bachelor's degree - 4 years
 
Master of Science (MSc)

16,500€ - 1 year

Degree:

MSc, Master of Science

Long Track

Admission level:

Bachelor's degree
Regular Pathway

8,500€ - 1 year

Master of Science (MSc)

16,500€ - 1 year

Degree:

MSc, Master of Science

CONDENSED TRACK

Admission level:

Bachelor's degree
Fast Pathway

8,500€ - 4 months

Master of Science (MSc)

16,500€ - 1 year

Degree:

MSc, Master of Science

Short Track

Intake: September

Admission level :
Bachelor's degree - 4 years
Duration :
1 year
Degree :
MSc, Master of Science
Campus :
Bordeaux
Format :
Full Time
Language :
English

Master of Science (MSc)

Duration :
1 year

The MSc programme in Data Analytics for Business is a five-year programme that trains future managers specialising in the management and deployment of data projects and the digital transformation of companies. This specialised programme offers a comprehensive vision of the new disciplines linked to data and artificial intelligence as business accelerators.

SEMESTER 1

BOOTCAMP CODE

  • Algorithmic
  • Python

DIGITALISATION OF COMPANIES

  • Digital strategies
  • Digitalisation of business processes
  • Management styles
  • Inbound marketing
  • Digital marketing

DATA ORGANISATION

  • Data formats
  • Data modelling
  • Queries
  • NoSQL/Hadoop/MapReduce

IMPACTS OF ARTIFICIAL INTELLIGENCE

  • Ethics and artificial intelligence
  • Legal dimensions of artificial intelligence
  • Social impacts
  • Economy of artificial intelligence

DATA VISUALISATION

  • Descriptive statistics
  • Multivariate analysis
  • Dashboards
  • Time series analysis

MACHINE LEARNING I (FUNDAMENTALS)

  • Supervised learning (categorization and regression trees)
  • Unsupervised learning (clustering)
  • Reinforcement learning (Q-learning)
  • Model validation
  • Over- and under-fitting
  • Cross validation

CONFERENCES, SEMINARS, SOFT SKILLS

SEMESTER 2

AGILE PROJECT MANAGEMENT

  • Agile methods
  • Management of project teams
  • Specific methods and tools
  • Customer relations

MACHINE LEARNING II (ADVANCED TECHNIQUES)

  • Neural network
  • Deep learning
  • Random forest and xg boost
  • Natural language processing

BUSINESS ANALYTICS

  • Linear programming
  • Non-linear programming

STOCHASTIC PROCESSES

  • Time series and forecasting
  • Simulation

BUSINESS AND AI

  • AI and new business models
  • Starting a new AI business
  • Marketing of AI

IMPLEMENTING MACHINE LEARNING IN COMPANIES

  • The different types of actors involved
  • Information systems aspects
  • Setting up a pipeline
  • Maintenance and updates of models

CONFERENCES, SEMINARS, SOFT SKILLS

SUPPLEMENTARY PROJECTS

INTERNATIONAL INTERNSHIP

This internship allows students to convert their knowledge in data analytics during a 6-month internship in a multinational company.

FINAL DISSERTATION

Students select a relevant research question and write an academic assignment. They work closely with an academic supervisor who guides them through the various steps of their research.

Long Track

Intake: September

Admission level :
Bachelor's degree
Duration :
1 year
Degree :
MSc, Master of Science
Campus :
Bordeaux
Format :
Full Time

Regular Pathway

Format :
Full Time
Duration :
1 year
Language :
English
Campus :
Bordeaux
Admission level :
Bachelor's degree
SEMESTER 1

Manager Skills

  • Introduction to business management (Fast Track for Non-Managers)
  • Strategic management
  • Financial performance management
  • Business & Sustainability
  • Public speaking 
  • Visual communication & Design
  • Data management
  • Hard skills
    • TOSA Excel
    • TOEIC
    • Orthodidacte
  • French/English as a second language

Expertise skills

  • Marketing studies
  • Data visualisation
  • Digital experience
SEMESTER 2

INNOVATIVE & ENTREPRENEURIAL SKILLS

-Innovation management and entrepreneurship

-Complexity Management

-Coding skills

-Corporate project

CORPORATE PROJECT

A consultancy mission on a real and current issue of a company. Corporate projects enable participants to gain valuable hands-on experience of business conduct and strategy and deal with the practical complexities. Students are guided by their KEDGE tutor
throughout the project. The assignment is done in groups of 4 to 5 students. A combination of collective and individual work. Final presentation in front of the corporate and KEDGE tutors.

POSSIBILITY TO COMPLETE ONE SEMESTER ABROAD AT A PARTNER UNIVERSITY

Your choice of experience
  • INTERNSHIP in France or abroad
  • PROJECT: Associative, entrepreneurship...
  • LEARNING TRIP ABROAD: You can find a job or take some language courses
  • OTHER CORPORATE PROJECT

Master of Science (MSc)

Format :
Full Time
Duration :
1 year
Language :
English
Campus :
Bordeaux
Admission level :
Bachelor's degree - 4 years
Semester 1

BOOTCAMP CODE

  • Algorithmic
  • Python

DIGITALISATION OF COMPANIES

  • Digital strategies
  • Digitalisation of business processes
  • Management styles
  • Inbound marketing
  • Digital marketing

DATA ORGANISATION

  • Data formats
  • Data modelling
  • Queries
  • NoSQL/Hadoop/MapReduce

IMPACTS OF ARTIFICIAL INTELLIGENCE

  • Ethics and artificial intelligence
  • Legal dimensions of artificial intelligence
  • Social impacts
  • Economy of artificial intelligence

DATA VISUALISATION

  • Descriptive statistics
  • Multivariate analysis
  • Dashboards
  • Time series analysis

MACHINE LEARNING I (FUNDAMENTALS)

  • Supervised learning (categorization and regression trees)
  • Unsupervised learning (clustering)
  • Reinforcement learning (Q-learning)
  • Model validation
  • Over- and under-fitting
  • Cross validation

CONFERENCES, SEMINARS, SOFT SKILLS

Semester 2

AGILE PROJECT MANAGEMENT

  • Agile methods
  • Management of project teams
  • Specific methods and tools
  • Customer relations

MACHINE LEARNING II (ADVANCED TECHNIQUES)

  • Neural network
  • Deep learning
  • Random forest and xg boost
  • Natural language processing

BUSINESS ANALYTICS

  • Linear programming
  • Non-linear programming

STOCHASTIC PROCESSES

  • Time series and forecasting
  • Simulation

BUSINESS AND AI

  • AI and new business models
  • Starting a new AI business
  • Marketing of AI

IMPLEMENTING MACHINE LEARNING IN COMPANIES

  • The different types of actors involved
  • Information systems aspects
  • Setting up a pipeline
  • Maintenance and updates of models

CONFERENCES, SEMINARS, SOFT SKILLS

Supplementary contents

INTERNATIONAL INTERNSHIP

Enables students to apply data analytics that they have learnt during a six month assignment within a multinational company.

FINAL DISSERTATION

Students select a relevant research question and write an academic assignment. They work closely with an academic supervisor who guides them through the various steps of their research.

CONDENSED TRACK

Admission level :
Bachelor's degree
Duration :
16 months
Degree :
MSc, Master of Science
Campus :
Marseille
Format :
Full Time
Language :
English

Fast Pathway

Duration :
4 months
Language :
English
Campus :
Bordeaux Marseille

Enter the specialisation year in just a few months by choosing the condensed track that provides the prerequisites in just 4 months.

Bordeaux campus

SUMMER SCHOOL PROGRAMME

Includes business and cultural visits at no additional cost.

5 or 6 courses of your choice among the following list

Supply Chain

  • Design of the Supply Chain 
  • Management of the Supply Chain

Value creation & digital marketing

  • Value creation & brand management
  • Digital Marketing for Entrepreneur
  • Entrepreneurship

Wine tourism

  • French wine industry
  • Oenotourism

 

FUNDAMENTALS & SOFT SKILLS PROGRAMME

3 courses of your choice among the following list

  • Data Management
  • Team Management
  • Video Communication & Design
  • Public Speaking & leadership
  • International Management

CORPORATE PROJECT

The mission is carried out in groups of 4 to 5 students and combines collective and individual work. The final project is presented to the company and the KEDGE tutor

 

French as Foreign Language

Marseille campus

SUMMER SCHOOL PROGRAMME

Includes business and cultural visits at no additional cost.

5 or 6 courses of your choice among the following list

Sports management & marketing

  •          Strategic management & advanced marketing for sport organizations
  •          Sport marketing & communication

Design thinking

  • Managing the creative process
  • Design thinking

      Social business

  •       Social business, territories & innovations
  •       Sustainable entrepreneurship

Global Finance & International Business

  • Global Finance Regulations or Managerial Cost Accounting
  • International Business : A Mediterranean Perspective

Ethics in business and society

  • Ethics in business & society
  • Towards sustainability

FUNDAMENTALS & SOFT SKILLS PROGRAMME

3 courses of your choice among the following list

  • Data Management
  • Team Management
  • Video Communication & Design
  • Public Speaking & leadership
  • International Management

 

 CORPORATE PROJECT

  • The mission is carried out in groups of 4 to 5 students and combines collective and individual work. The final project is presented to the company and the KEDGE tutor.

 

French as Foreign Language

Master of Science (MSc)

Format :
Full Time
Duration :
1 year
Language :
English
Campus :
Bordeaux
Admission level :
Bachelor's degree - 3 years
CURRICULUM

SEMESTER 1

BOOTCAMP CODE

  • Algorithmic
  • Python

DIGITALISATION OF COMPANIES

  • Digital strategies
  • Digitalisation of business processes
  • Management styles
  • Inbound marketing
  • Digital marketing

DATA ORGANISATION

  • Data formats
  • Data modelling
  • Queries
  • NoSQL/Hadoop/MapReduce

IMPACTS OF ARTIFICIAL INTELLIGENCE

  • Ethics and artificial intelligence
  • Legal dimensions of artificial intelligence
  • Social impacts
  • Economy of artificial intelligence

DATA VISUALISATION

  • Descriptive statistics
  • Multivariate analysis
  • Dashboards
  • Time series analysis

MACHINE LEARNING I (FUNDAMENTALS)

  • Supervised learning (categorization and regression trees)
  • Unsupervised learning (clustering)
  • Reinforcement learning (Q-learning)
  • Model validation
  • Over- and under-fitting
  • Cross validation

CONFERENCES, SEMINARS, SOFT SKILLS

SEMESTER 2

AGILE PROJECT MANAGEMENT

  • Agile methods
  • Management of project teams
  • Specific methods and tools
  • Customer relations

MACHINE LEARNING II (ADVANCED TECHNIQUES)

  • Neural network
  • Deep learning
  • Random forest and xg boost
  • Natural language processing

BUSINESS ANALYTICS

  • Linear programming
  • Non-linear programming

STOCHASTIC PROCESSES

  • Time series and forecasting
  • Simulation

BUSINESS AND AI

  • AI and new business models
  • Starting a new AI business
  • Marketing of AI

IMPLEMENTING MACHINE LEARNING IN COMPANIES

  • The different types of actors involved
  • Information systems aspects
  • Setting up a pipeline
  • Maintenance and updates of models

CONFERENCES, SEMINARS, SOFT SKILLS

SUPPLEMENTARY CONTENTS

INTERNATIONAL INTERNSHIP

Enables students to apply data analytics that they have learnt during a six month assignment within a multinational company.

FINAL DISSERTATION

Students select a relevant research question and write an academic assignment. They work closely with an academic supervisor who guides them through the various steps of their research.

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