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
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
- Complete access to datasciences courses offered at Datacamp - These are used in several ESIEE courses
