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Summer programme – AI Business

Next Intake : Monday 15 May to Friday 9 June 2023
Final year Undergraduate or Master students
Languages : English
Campus : Rennes

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

Mission

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

  • Develop basic to advanced skills in Python tools for data science in business.
  • Apply machine learning and deep learning to business data analysis.
  • Create business intelligence through application and visualisation.
  • Learn from automated analysis of texts 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.

The programme is based on four AI business courses:

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

Admissions

Data Science for Business

Pre-requisites

  • Successful 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 prior completion of the «Data Science for Business» class.
  • 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 prior completion of the «Data Science for Business» class.
  • Strong command of spoken and written English.

Business Network Intelligence

Prerequisites

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

Programme

The programme is based on four AI business courses:

Data Science for Business


This module begins with the very basics of Python coding and works up to modern advanced techniques such as machine learning and deep learning.
The class is based on data science for business, with a focus on applied business examples. The module is very practical and students will use shared Python codebooks and implement the techniques along with the professor.

Topics covered:

  • Learning Python from the very basics
  • Mastering machine learning for business
  • Understanding AI deep learning techniques
  • Applying learning to real business datasets

AI Business Intelligence


Business data science is a practice which leads to the creation of business intelligence from business data. This module focuses on the creation and presentation of that business intelligence. You will primarily work on Tableau (for which a personal license will be provided to you), the leading intelligence generation and visualisation platform in modern business.

Topics covered:

  • Developing expert Tableau knowledge
  • Applying Python for data visualisation
  • Understanding business intelligence needs
  • Generating automated BI reporting

Business Textual Learning


Automating the creation of knowledge from written documents is a practice that is still in its infancy. The vast majority of people still read documents manually in order to extract intelligence. The use of data science, through its natural language processing field, offers fascinating new techniques to automate the generation of knowledge from text. This module brings you on a journey through the practical application of the most business-relevant aspects of such techniques.

Topics covered

  • Extracting knowledge from text
  • Applying natural language processing
  • Learning the new science of topic modelling
  • Measuring text sentiment and complexity

Business Network Intelligence


The best businesses make effective use of their networks, such as that of 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

  • Understanding the connectivity of today’s society
  • Analysing social and business networks
  • Learning network visualisation techniques
  • Applying big data techniques and analytics

Calendar

  • Next intake : Monday 15 May to Friday 9 June 2023
  • Registration deadline : 17 April 2023

Data Science for Business

15 – 20 May 2023 (Thursday 19 May: day off : Ascension)

AI Business Intelligence

22 – 26 May 2023

Business Textual Learning


29 May – 3 June 2023 (Monday 29 May: day off: Pentecôte)

Business Network Intelligence


5 – 9 June 2023

Fees

Fees spring 2023: between €900 and €3000 depending on the number of classes

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 admissions advisor
Laura Meunier