Summer programme – AI Business

Final year Undergraduate or Master students
Languages : English

Earn a certificate in AI Business and take credit-awarding modules

Mission

Earn a certificate in AI Business and take credit-awarding modules

  • Develop competences from basics to advanced in Python application of the new business tools of data science.
  • Apply machine learning and deep learning to business data analysis.
  • Create business intelligence through application and visualization.
  • Learn from automated analysis of text and networks.
  • Develop AI business projects to showcase your skills to future employers.
  • Build a deeper understanding of complex environments and how to derive an advantage from them.

Four AI business courses compose the programme:

  • Data Science for Business
  • AI Business Intelligence
  • Business Textual Learning
  • Business Network intelligence

Admissions

Data Science for Business

Pre-requisites

  • Sucessful completion of at least two years of undergraduate level studies
  • Strong command of spoken and written English

AI Business Intelligence

Prerequisites

  • Successful completion of at least two years of undergraduate level studies.
  • Coding experience or attend the «Data Science for Business» class before
  • Strong command of spoken and written English

Business Textual Learning

Prerequisite

  • Successful completion of at least two years of undergraduate level studies.
  • Coding experience or attend the «Data Science for Business» class before
  • Strong command of spoken and written English

Business Network Intelligence

Prerequisites

  • Sucessful completion of at least two years of undergraduate level studies
  • Coding experience or attend the «Data Science for Business» class before
  • Strong command of spoken and written English

Programme

Four AI business courses compose the programme:

Data Science for Business


This module starts with the very basics of Python coding and works up modern advanced techniques such as machine learning and deep learning.
The field of data science for business is the context for the class, and so applied business examples are the focus. The module is very practical – you will follow the lessons using shared Python codebooks and implement the techniques along with the professor.

Topics covered

  • Learn Python from the very beginning
  • Master machine learning for business
  • Understand AI deep learning techniques
  • Apply learning to real business datasets

AI Business Intelligence


In business data science we take business data and create business intelligence. This module focuses on the creation and presentation of that business intelligence. You will work primarily on Tableau (for which a personal license will be provided to you), the leading intelligence generation and visualization platform in modern business.

Topics covered

  • Develop expert Tableau knowledge
  • Apply Python for data visualisation
  • Understand business intelligence needs
  • Generate automated BI reporting

Business Textual Learning


How to automate creating knowledge from written documents is still in its infancy. Largely people still manually read documents in order to extract intelligence from them. But data science, through its natural language processing field, offers fascinating new techniques to automate generating knowledge from text. This module brings you on a journey through the practical application of the most business relevant of the techniques in this area.

Topics covered

  • Extract knowledge from text
  • Apply natural language processing
  • Learn new science of topic modelling
  • Measure text sentiment and complexity

Business Network Intelligence


The best businesses make effective use of their networks – such as their workforce and their external connections including customers and social media networks. They might crowdsource intelligence, customers, and funding. In this module we show how new data science techniques allow the extraction of business intelligence from the firm’s diverse networks.

Topics covered

  • Understand connectivity of today’s society
  • Analyse social and business networks
  • Learn network visualization techniques
  • Apply big data techniques and analytics

Calendar

Registration deadline: 2 April 2021

Data Science for Business


May 10th – May 14th or 15th 2021 (Thursday May 13th is a bank holiday in France)

AI Business Intelligence


May 17th – May 21st 2021

Business Textual Learning


May 24th – May 28th or 29th 2021 (Monday, May 24th is a bank holiday)

Business Network Intelligence


May 31th  – June 4th 2021

Fees

Fees 2021: 895€ for one course – 1 615€ for 2 courses, 2 125€ for 3 courses, 2550€ for 4 courses

Included in the programme:

  • 30 hours of classroom teaching per course
  • Teaching material

Assessment method: Assessment by means of a group project developed within the class, and daily assessment sheets

“So, are you convinced?”
Do you have any questions about whether you are eligible to apply? Contact your advisor
Laura Meunier