Datascience and artificial intelligence

In the context of the strong development of datasciences, Big Data and Internet of Things (with an expected growth of 40 % per year -  Villani report on AI), the programme aims at training specialists of :

  • data processing and engineering
  • machine learning
  • implementation, devOps
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Datascience, intelligence artificielle

Compulsory courses

  • Scientific and technical courses (180 hours)
  • Machine learning, vizualisation, security, connected objects
  • Management (150 hours)
  • Modern languages
  • (80 hours)

Options

  • Data - data mining and advanced data analysis
  • Developement, data engineering
  • Internet of Things

 

Examples of available elective courses (495h)


In the specialization:

  • BigData analytics with Spark
  • Deep Learning
  • Features engineering
  • DevOps
  • Scala

Inter-specialization courses:

  • Data analysis and biostatistics
  • Web programming
  • Optimisation
  • Information systems

In management:

  • Team management and leadership
  • Entrepreneurship and business plans
  • Advanced finance

Carrers - business sectors

Examples of occupations

  • Data-analyst
  • Data-scientist 
  • IT project manager
  • Architect Internet of Things, consultant, analyst, etc

Business sectors

  • IT services
  • Web
  • SSII
  • Telecom and networks companies
  • Service sector (banks, insurances, marketing…)

Examples of applications

  • Distribution
  • Marketing
  • Health/medical
  • Security
  • Finance
  • Energy
  • Smart cities
  • Automation
  • Connected objects
     

Educational Hw & Sw Materials

  • Internet of Things Development Platform - Texas Instruments
  • Data Sciences and Machine learning Tools, R, python
  • Cross-platform mobile application Prototyping, Kivy - Flask