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GRADUATE STUDIES
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MSc in Optics, Image, Vision, Multimedia (OIVM)
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iPSRS - Intelligent Photonics for Security, Reliability, Sustainability and Safety
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RESEARCH & INNOVATION
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SCIENTIFIC EVENTS
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The SLEIGHT Science Events
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You are here : EUR MANUTECH SLEIGHT > Master Machine Learning Data Mining (MLDM)
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Call for applications
2024-2025: Applications for the MLDM master degree open until May
From January 2, 2024 to May 30, 2024
The call for applications 2024-2026 for the MLDM Master degree is open!
The specialisation track in Machine Learning and Data Mining (MLDM) provides an original scientific position in Europe on problems related to machine learning, big data, pattern recognition, classification, modelling, knowledge extraction and data mining. These issues have a strong employability potential for students trained in the fields of data science, prediction, data analysis or decision support, as well as in the area of the Web, image and video processing, vision, health informatics, fraud and anomaly detection in text and documents, in the fields of environment, energy or biology.
HOW TO APPLY
You must apply on the International Science Masters platform
HOW TO APPLY
You must apply on the International Science Masters platform
- Non-EU students: from now to May 30, 2024
- EU students: from now to June 30, 2024
To read as well
- 15 JUL12th SLEIGHT Science Event: 3 days dedicated to the topic “Imaging in Manutech-SLEIGHT"
- 13 MARJean-Philippe Colombier, laureate of the 2023 Paul Langevin Prize! (Société Française de Physique)
Professor Jean-Philippe Colombier is the Axis #1 leader of our Graduate School and a member of our Scientific Committee has been awarded for his research in theorical physics.
- 26 FEB► REPLAY - SSE #11 - Pitch Session
Master students from the AIMA/IOGS, MLDM, Photonics Engineering and PSRS master programmes presented a pitch during our winter edition of the SLEIGHT Science Event.
- 26 FEB► REPLAY - SSE #11 - Workshops
PhD students, post-doctoral fellows and special guests presented the advancement of their research works in their lab.