Data, networks and internet of things

In the context of the strong development of datasciences, Big Data and Internet of Things (with an expected growth of 40 % per year, about 50 billion of connected objects by 2020), the programme aims at training specialists of collect, analysis, processing and diffusion of information.

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Datasciences, Big Data and Internet of Things

Compulsory courses

Scientific and technical courses (180 hours)

  • Data exploration
  • Networks
  • Security
  • Connected objects

Management (150 hours)

Modern languages (80 hours)

 

Options

  • Data - data mining and advanced data analysis
  • Networks
  • Internet of things

Examples of available elective courses (495h)

In the specialization:

  • Voice on IP
  • Mutimedia coding and compression
  • Security
  • Introduction to Spark/PySpark for BigData
  • Deep Learning

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: Architect Internet of Things, data-analyst, data-scientist, IT project manager, consultiant, analyst, etc
  • Business sectors: IT services, web, SSII,  telecom and networks companies, service sector (banks, insurances, marketing…), mutimedia
  • Examples of applications: distribution, marketing, health/medical, security, finance, energy, smart cities, automation, connected objects, multimedia  transmission, geolocalisation, networks and mobile devices

Educational Hw & Sw Materials

  • Wireless network design and optimisation platform, Atoll - Forsk
  • Internet of Things Development Platform - Texas Instruments
  • Simulator for analyzing and designing communication networks - Modeler Riverbed
  • Data Sciences and Machine learning Tools, R, python
  • Cross-platform mobile application Prototyping, Kivy - Flask