Summer programme – AI Business

Earn a certificate in AI Business and take credit giving 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

Data Science for Business

Dates

  • Monday 17th June – Friday 21st June 2019

Students will be expected to arrive in Rennes on Sunday 16th at the latest and leave on the 21st evening at the earliest.

Programme

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

Pre-requisites

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

AI Business Intelligence

Dates

  • Monday 24th June – Friday 28th June 2019

Students will be expected to arrive in Rennes on Sunday 23th at the latest and leave on the 28th evening at the earliest.

Programme

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 visualization
  • Understand business intelligence needs
  • Generate automated BI reporting

Pre-requisites

  • 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

Business Textual Learning

Dates

  • Monday 1st July – Friday 5th July 2019

Students will be expected to arrive in Rennes on Sunday 30th June at the latest and leave on the 5th July evening at the earliest

Programme

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

Pre-requisite

  • 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

Business Network Intelligence

Dates

  • Monday 8th July – Friday 12th July 2019

Students will be expected to arrive in Rennes on Sunday 7th July at the latest and leave on the 12th evening at the earliest.

Programme

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
  • Analyze social and business networks
  • Learn network visualization techniques
  • Apply big data techniques and analytics

Pre-requisites

  • 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

Practical informations

Credits: 30 teaching hours / 3 ECTS (1.5 US credits)

Public: Final year Undergraduate or Master students

Teaching language: English

Registration deadline: 15th April 2019
Fees: 1 050€ for one course – 1 900€ if 2 courses, 2 500€ if 3 courses, 3 000€ if 4 courses

Included in the programme:

  • 30 hours of classroom teaching per course
  • Teaching material
  • Tour of Rennes
  • Welcome breakfast and farewell lunch

Not included in the programme:

  • Accommodation (a list of suggestions is sent to enrolled students)
  • Meals – Transportation – Cultural visits – Insurance

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

Faculty: A team of multicultural professors with AI expertise from Rennes School of Business

For more information, please contact: Laura Meunierlaura.meunier@rennes-sb.com

Application