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Engineering studies in France  /  Studying  /  Majors

DATA SCIENCE, MULTIMEDIA & TELECOM

sciences-multimedia-telecom

Taught in French / English

spot-campus-ville

ANGERS campus

 

TAUGHT IN FRENCH/ENGLISH

Download course details in pdf

 
goal

The Data Science, Multimedia & Telecoms major aims at training ESEO engineers in electronics and computer science in the field of artificial intelligence with deep learning and machine learning, as well as signal processing – real time and post-processing – for audio, image, video and data transmission. The targeted fields for future engineers in the Data Science, Multimedia and Telecoms major are Telecommunications, Artificial Intelligence, Multimedia, Industrial Vision, Signal/Image Processing, Software-Defined-Radio and Telecoms.

 
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This multi-disciplinary major is based on the school’s traditional skills and expertise in electronics, embedded systems, signal and image processing as well as AI. A solid grounding is also provided in the fields of Multimedia and Telecoms.

Theoretical tools such as Signal and Image Processing, Optimisation, Neural Networks, Statistics, Data Science, Machine Learning / Deep Learning Technologies such as Digital Electronics (GPU, FPGA, DSP…), Sensors and Instrumentation Languages such as NI Lab VIEW, Python, CUDA, Matlab/Simulink

 
 
portfolio

The training provided is in constant evolution in order to meet the requirements of companies in a wide variety of fields involving data processing, such as:

  • Artificial intelligence (machine learning and deep learning)
  • Image, video, sound, digital television, multimedia
  • Aeronautics and aerospace
  • Telecommunications
  • Electronics and IT
  • Embedded systems
  • Measurement and instrumentation
  • Biomedical engineering
  • Academic and industrial research
 
 

Course units

Semester 8

  • DSMT Project: 84 hrs – 7.5 ECTS
  • Signal Processing: 84 hrs – 7.5 ECTS
  • Image and Video Processing: 56 hrs – 5 ECTS
  • Tomography: 28 hrs – 2.5 ECTS (BIO)
  • Relational Databases: 28 hrs – 2.5 ECTS
  • English: 28 hrs – 2.5 ECTS
  • Transversal Skills: 28 hrs – 2.5 ECTS
 

Semester 9

  • Final Year Project: 224 hrs - 18 ECTS
  • Signal Process applied to Financal Field: 28 hrs - 2 ECTS
  • Optimal Wiener and Kalman Filtering and Adaptive Filtering: 28 hrs - 2 ECTS
  • Real Time Audio Effects: 28 hrs - 2 ECTS
  • Data Science 2: 28 hrs - 2 ECTS
  • Deep Learning: 28 hrs - 2 ECTS
  • Antennas & Systems: 28 hrs - 2 ECTS
 
 

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