7 Masters de l’Université de Limoges adossés à XLIM
![](/sites/default/files/acsyon_150.jpg) |
- ACSYON / Mention Mathématiques et applications : Mathématiques de l’optimisation, applications à la science des données (machine, learning, big data)
|
![](/sites/default/files/articc_150.gif) |
- ARTICC / Mention Physique appliquée et ingénierie physique : Systèmes de télécommunications hautes fréquences et optiques
Particularités du cursus : plus de 80% de la formation à distance, ouvert à la formation initiale, l’apprentissage et la formation continue
|
![](/sites/default/files/cryptis_150.jpg) |
|
![](data:image/png;base64,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) |
- EMIMEO / Mention Physique appliquée et ingénierie physique : Master Erasmus Mundus on Innovative Microwave Electronics and Optics
Universités partenaires : Limoges, Brescia (Italie), Bilbao (Espagne), Aston (Grande Bretagne)
|
![](/sites/default/files/isicg.png) |
- ISICG / Mention Informatique : Informatique, Synthèse d'Images et Conception Graphique
|
![](/sites/default/files/ixeo_150.jpg) |
- IXEO / Mention Physique appliquée et ingénierie physique : Technologies hyperfréquences et photoniques, Télécommunications
|
2 Masters de l’Université de Poitiers notamment adossés à XLIM
Master
informatique
Poitiers |
- Informatique - 3 parcours : Conception logicielle, Gestion et analyse de données, Informatique embarquée.
Formation d'adossement du label Cursus Master en Ingénierie (CMI "Informatique").
La deuxième année est proposée en alternance en contrat de professionnalisation.
|
![](/sites/default/files/logo_ld.jpg) |
- Traitement du Signal et des Images - 2 parcours : Ingénierie des objets intelligents et Sport et santé connectés.
La deuxième année est proposée en alternance en contrat de professionnalisation et en contrat d’apprentissage
|
1 Ecole Universitaire de Recherche (EUR)
L’EUR Ceramics & ICT Graduate School propose des parcours de Masters et de Doctorats qui accordent une grande place à la formation par et à la recherche, à l’interdisciplinarité, à la mobilité internationale et à la conduite de projets collaboratifs.
7 Parcours de Master fortement interconnectés et rattachés aux Masters des Universités de Limoges et Poitiers adossés à XLIM et à l’IRCER : High frequency electronics & photonics, Advanced ceramics, Information security, Computer graphics, Applied mathematics & optimization, Smart internet of things, Software design and development
Ces parcours adressent des domaines scientifiques à forts enjeux sociétaux au cœur du LABEX Σ-LIM : 5G, fabrication additive, énergie et développement durable, sécurité des données et protection de la vie privée, photonique, objets connectés, imagerie 3D, diagnostics santé et thérapies avancés...
Au niveau doctorat, les programmes s’appuient sur les écoles doctorales SISMI et SIMME.
2 Spécialités d’ingénieurs à l’ENSIL-ENSCI
![](data:image/png;base64,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)
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAIgAAABCCAYAAACMyZ6AAAASM0lEQVR4nO2d+ZsTVfaH/Z8mqUo3I92pqnQ30ELTOijijoiKIMy4DI7O1x3HfXTcRlFA2VRQERERUAHBHcVldFzHTm+pqixVqaokneT9/lCVpZeETtMbdD7Pcx+e7tzceyt5ucu555w+ixoVv/VujM0v1/q2uk5TnTXaivl8ntjf7iITCBEXZMxtOydyXHVNE40akOgtd+EEQkT8QTS/RFyQMbbXITnTNSpAorfejSMqxAWJnrZz6WpsIS54kLz82kSPsa4p1EkBid12L44YwhRl1PkXkO2P4Bw+hirIxAWZmCBhvvrGZIy1rilQVUCit92DIyqYgoI2fzGZ38PF16x330P1ZpGYINchOUNVEZDo/61z4RBltHMuGARHQcl9B8sgkTB37JrQwdY1+RoRkNgd9xXhUOctIvO/rooNJPceQPWXIEm+vnvCBlvX5GsYIPE77/eWFRmtfRGZ3/530kasvftR/UHigkxUkDDrkJwxGgRI7M77cQLesjJvEelffwMgF09grriB5NvvVmzIevtdtAIkfonkG3smduR1TYqKgETvegC7sOeY+ycyv7ozRz6Vou+iq6CxDTWgYL13uGJjyT37PEgkon4Jc1cdktNdZwHE7n0IR3QtpNqc80j//GuxQj6bxXhhMwlBJiHIqAEF+4MPKzaY3L0X3duT6H6J5O69E/4QdU2czore8yApMYTql1Dbz2egu3fEisaWV4qQaA0hrCqQmG++XYRE8wcx65Cctjor8cRzWKKC5g+itp1L6tv/VKxsbn4FowBJYwvWoSqQ7NpTBomE+dY7EzH+uiZYZwEknlqPJSrEBRm1aR7O8RMV32C8tH0QJPbhoxXrmq+/hSa6S43ml7CqbHLrmp4qblITTzyLJSruFx9sJ/Xl1xXfZGzaVoREbWzB/vDjynVfeZ2YIKH6g1iigvPxZ+P7BHVNqAYdc+P/+jeWqGAIMpp0Dqmvvqn4xsTGrZhi2XLz4UfD6uQsm+jqtWh+CScQQr96NdmIWnw9/fmX5DV9HB+nrvHWcEPZ488UZxK1uZ3UicqQGBu2YBQgmdWKfbQ0k+QsG/2q67FFBVsMoV/7F3Kp1KB+bFGhL9iOvnot1qtvkOsabs6va2o1oqk9/tjTZTPJfFLffFexAWPDFpIeJOqsVlKff0l+YABt+WpsMYQtKuhXryFfDoe3nGn+IE4gRCoQwhIVehoUtMtXYD63icy330M+P/5PXFdNqnhZF3/0SewCJPJ8Ut9UPt0knn8JU3Sv/8PBdvouXk5CkLFFBW35anK2XWr3yeeKM1Q42I665hZ6lQUkBJmUB4sjKvT5mlEXXUbigcdIH/uEvGWN75PXNSpVve6PPVKCRD0ZJBu2oM1qRfUHiXqb0uiateSsEhyJp58nWVi+muaR8k5LuVgc5+AhEvc+RKRjCao/SCoQIu0BExUk+uecR+yWO0m+/S75XH1mmSyd1GEo/vATpZlEWUDqu+8r1u3vWILmD9LtayYqyFhlR+DE08+XTklN83C++GrENvKpNOnjX2E+tR79kqvp9jVjiwqpgLtcWaJC+sS3Y3jUqdHA72Gyx0+QrqFkjp8gPeRzzkVjDHivZ4+fINsfqdhnPp0m/dU3bjunUk58OzqXw/hD/yqDpIP09/8dNiD9uhuJClLROBbxB4kE20kfP4H54rbiPkWbPRfns+Oj/4B//BlryytEr/4zPb5mnECIxJPPjfr9U63o3feTa2whIgRHXZIBhZ75Fwxqx9q7n3RDCFUIkm1sIfHCSxX7zIa76fI1ERWlmvotL7oo0f3H1tE7LccffLwESagEST6dRl9xA463IVVX3kj8yeeIe7CEhSA9vuZhcBgbNmNs21HTh9278CLSgRB9Fy2r6X1Tqdi6h3ACIbp9TYR9TcRECUOUq5ZsQwvdczoHtWO/cwBTlOnxNWEHQhgbt1TsM9vVTcQfxA4ow9pOiDI9/mbC3nh6/c0jjsEKKISF4OgBAYg98FgRkt5QB6lPv0C74VacwlF26XXFPYexYQu6KNPrayYuSKh/bMP+9Av3tRc2u0azgEJyx+hdFaP3/5N0IESPKDNQxYlpOil238NYAYUu7wvpv3ApkatW0X/lyoolvmwV+m13D2rH3neQhCgT9jWRDCgYm7ZW7DOnaqjX/hlt2eB+IstWEVl6HV0BmW5fkwvK7Db390PqastWoV5/c22AAMQf+Kd7OvH2GhF/0D3KXrGCXDJZrGe89DK6KBPzS2hnz8H+5HPAdR/o/dMl0NhKVFRqMr+njn1CTJBct4TTxJu+AEi3r5l+f5DMf34YUzu1AFJN+cwA3a0LiQhBoqJE/yXLq9avGRCA2H2P4Igher0NpH75teQMs/h64vmXMASZuCCh/bEN2zOvF+wpuYiGeek1JN/eX1O/ecumW1lAJhBCXXXzWIY+6RoGSBWbUjWNGyBOiu6WjiIgJ1uuxwQIQGzdw9DYhn7pNWQTRvH3xobNmIWj7KxW7I9cOIztO7ECIeKPPQNALpcbU7/aX28nHQgRnj2HXDwx1uFPmoYCkq5ima6mcQPEsicHEABr0zYGVK34s7FxC6ZQZnr/6FMAzFdeJy7IJEUFzS+RKXNIqrnP3e+Q9PZB9oEPTmX4k6IZDUi5Bl3ezWop3suYO3YR94KsVEHCfve9U+pnoD9CuNE1okXvuG8cRj6xqgMCJF4c+frf3PkmMUFyTzF+ieS+g+PRHZFl15MOhOieex75dHpc2pwozXhAyh2IIoEQ9hH32t987U2iguTOKIJE8p0Dp9pVqc8NW3ACrptk+svKzk3TQTMGkFw8QebYJziv7cbesQv7gw9JrH+x6JysBc/BOnwMAPP13d7M4cGxt7bTysmU+ekXekWZdCBE4olnx7Xt8dZQQAZ++XVM7UxfQHI5jKfWo7V2EvduaG0v0j/ql+jxNRMTJBIb3QFbb+4l6ndnDtUfrBpLcyrq6ViCEwjRt+gyGBiYkD7GQwVAwr4mun3NaDfeRvS+R4hVKMl1D5Me4Sg8LQHJqhr6ihvIeHlBen3N9PvcfxOCjCUqRUi6g+2o1/6FLl+zO6MEQiT37BvTQ5xMiY1b0RpbMASZ7mD7tD7ulltSu3xNJDwz9kjFDigwq43k628Na2daAuJ88jlJUUH1B9H9EuqaW8j89Avpb7/HPniI2KNPEVm8FN0vlUzw3k2uMcJDjoeMjVsxBdl1QWiaR+qLLyekn/HSUECiokTCuxMZWgxRhlmtJN84TQABsN45gCZIxASJqLxguBd7Pk/648+IrbqZmFevz9dMfPlq0t//OKaHqKSCs7QhyKiz5+J8Pr3hgPIlptm9GHt2A9be/dgVSmrPPrI9w2OTpi0gAEkvONvwNp1WheOqc+hDtD9dii0qrlFs9lyscdqgJl7cXgbHHJzPvii+lvrmO+yyn6eThpnaf/5lTO1Ma0AAzD37XEhEGU2UK0KSs2wS9z1Cwvsy44KE8dL22p5iiAwvYMsQZLTZc0iV+ZOkfvgRNXgOWmMLzjQ88s6YYy4UgrMl93+xIJF8t7LhK7nzTdSAeyeTFBUSz26spauijM0vl+KCz24r3goDpH/8Ga21k4SXUUALtk87SGYUIADJt/ahFyGRsfa/X7GufeQj1LPnlCDZ+mpNfZnbdmCIMrogobUsxCkL5kr//Atq27nurOKXiqkn1GA7qWnkkjjjAIFScLYhyKiijFXl0sz5+DM0D5KoIGF/cGRUfRjbdrrWWX8Q1RdEnbeIbG8/4BrKtDnnYXp7nfhT64k/80LxEk+T5pP6enpAMiMBgVJwtiHIaKKCVcXmYR8+hup3Xe0iTfMYGCHfWbmM7TuLiWh6vA82Lkj0tJ+P9c4BeuYtwiwY7B5+ovi+xGNPl7zwTxLPM1masYAAJHe5M0nCS/OQrBLBb2zbgel5pfdfdg1UCF0wX37Nzb8qyPQ1tOAc/ZjYg49jeLOJ7peIeMtJ/KF/DXt//J9PlYK+5AU4UwzJjAYEwHzjLaJ+1/6h+YNYeytfyml/uwtbVHDEEIkRHtB41Q30NjyXAedIKd5XX3uHG2z1hyYSgox+5/0V+4mVhWqo8vyqKS0mWhPhcmgFlDHny5+S6/7kvoPos1rR/RK6IFe8nMubSfrmnEdSVOg9e86gQG5zxy5iBTtHYwt2WTB45n9d6Bdc4W1G3aIvXjpias6CYmWhGqqygPQYv5hTVTkgff4gzpGj5KIxsnq0YsnpUbLRGPkyr7tyQMyAQuLp58nF4lXbyepR8np0kEvEpAGSPnwM698bSL76Bsmdb9LX4Pqo6n7JNaZVuN5P7t2PIbphltF/PAqU/EaMQs6RI8eK9TO//Y7q7Tn6fUH6zr0Y1R90U3S2n181RWf8oce95UZBDXWQmgJIhpraw7PbCAfnEW6eW7GoUju9HReSM0qunOWAhH1NhBtDdEvtVdsJN8/FlOcPsllNOCD5VAp9zVpsUWEg0OJe2AnuZrLL30y3d7urCRJWBe+xvouvwhYVukMdGM9tci//RDe1lV2WtSjzexit/XySXlhF7MHHyTsp9NvXFbMx6kMyQA/VoHieloXjbv4/maJ3/YN8YyuaEEQTgsTL4lMqlXRDiK4GhVw8XmzH3rufTEMLuhBEFYLF+Jpq7SREGRpbB6UlzVs24aY5mAEFpyFE76JLq46/ZkBijz9DtqEF1R/kd+92t+cPzV7qy7ew9uwrepHpAQVr/3vD2rD2HcAQZHp8zcX9ixpQsMqOwJnfu9AXLPbgUFwn6fIP/rZ7cAIh16S/YDED4e7KY/ZCNQqQpH6YPEgST6/H7ryI3gWLR120jsX0X3LVoBnEOXwUY+ES+mpop3fBYsyFS7DeO1QakJOi/9Kr0ToWE194IeqatVXHXxsg2Sy98xfjiCH6Fy8l88tvJF/bjeoZwgoZDQtOygnvCDzUuTifStHd1onqD9LvC7oJaN4vpdfM/PATmgeHFnBnjpFU+CsUpqigdVxIpqsKJP941I2nEWTU1s5JgySfzZJPZyAzMOqST2fIZ4b4uORzNbdTaGtoGo18oY905qS+NLUBkk7T09rJQKAFfe0dAGQjKr0BhUwgROLfLxSrFo6rccG7uxkCSfT2dW6o5gjuiNG77odZbfT6monIC8iWTbVDFbv1bhzRnUnUBReSCfdUrBv3IDFEGa21k/R/f6rp8Weial5iIstXkwqECAsS2l9vp++CK4h4+cdSZZtLANOzhsYLFteyWSK5cxe2qNDrDzIwJAwin7TQVt7kpq3yS+gXLycbjVUcU/SWO73lRkbrWMLACNflBcXWPVw63bSdS/qnn2v9CGaUagYk9eXXqA0hHNENPbBFhWxDC5FVN8EIwVDG1leHJOF19xnO0Y+Lfqsjmd9zqTTRlTfhiG72IW3JMrKxCjNJPk907R04BTeDzosY6Omr+AyJR55EE73b4dbOMRuvZoLGdMx1PjtO4tq/0N/aid6xBOORJ8k7TsX6xpYSJFpDiNTnX5H5+rviElQpc3Mu5aaVKOQF0S++qjokf729tNx0XsRA78iQWO8fQQ+E6PcFSQdCJF+r//GBSjolQ1k+abmboVHIKEvCG26ah3rdjaien2umyoYxn3LTSxQhuWR5xT1JPpcjevPtbtYAUUHrvHjY8mUdPITaECpeERjbT48g8KnSuEXWjUaFGBrdLxVLT/v57m66inKOg37Nn7G95Ua/5GqyiQqOyrkc+o234QRC0NhGvCwswv7gCFpAKZ6wzBrzk8xETSogAMamrZiiQp8vSCYQwhylj4gLyZriTKINCRofpGwOfeVNaDf9nXzGhc96/whaQ6i41BlbXhmvRzqjNemAgOt8TEMr6ppbID/6KP+sbaMvX11abi6rDEn5PYb1wYdoDaHSzFGHY9SaEkAAnIOHyCVrT22Zt53BkAzJTTJU9uGjqGUzh7m5DkctmjJATkU5y0Zfdn0xyk+7fAVZczgk9pGP0Bpb3SVFlDFePDXn6Zmo0xIQgGzSKkv1rbj50cpSYNlHPkKb1VL0rjc2bZvC0Z6+Om0BAcglLbQrV5YguXIl+XSG1KdfoDaWwbFxbN5XdZ3mgADkkkn0pddhe2mv+i68knDzPOKCjCkqGBs2T/UQT2ud9oAA5EwT7YoV3h8IcD3OTFEm8XzlZLN1jU5nBCAAOTOJfvkKnEDItdiuf3Gqh3RG6IwBBCDvOMSWXjfmKL66huv/AZ3XMFhDvm/NAAAAAElFTkSuQmCC)
|
- ELectronique et Télécommunications : Architecture logiciels de télécommunication et architecture matériels, développement de composants, traitement des signaux numériques et analogiques, intégration en systèmes et validation.
La dernière année est proposée en alternance en contrat de professionnalisation.
|
![](data:image/png;base64,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)
![](data:image/png;base64,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)
|
- Mécatronique : Mécanique, Électronique, Automatique et Informatique pour la conception et la fabrication de produits.
La dernière année est proposée en alternance en contrat de professionnalisation.
|
1 Ecole doctorale
Les doctorants sont inscrits dans l’Ecole doctorale 610 SISMI (Sciences et Ingénierie des Systèmes, Mathématiques , Informatique). En complément de leur activité de recherche, ils sont amenés à suivre un ensemble de formations en vue de leur insertion professionnelle :
- Des formations professionnelles proposées par le Collège Doctoral de Site.
- Des formations spécialisées scientifiques et interdisciplinaires portées par le laboratoire (workshops et journées poster annuels des doctorants, conférences, écoles d’été etc…)
- Des formations thématiques en interaction directe avec les secteurs professionnels des doctorants.
Quelques chiffres
- Environ 460 étudiants sont inscrits chaque année dans les formations de Master adossées à XLIM et 280 dans les formations d’ingénieurs.
- XLIM recrute près de 50 doctorants/an, la moitié ayant été formée dans les Masters adossés au laboratoire.
- XLIM contribue de façon active à la formation par et à recherche en proposant près de 60 stages de Master/an.
- L’EUR « Ceramics & ICT Graduate School » est un projet financé par l’Agence Nationale de la Recherche qui a été retenu lors de la deuxième vague de l’appel à projet « Ecole Universitaire de Recherche » du 3ème volet du programme d’investissement d’avenir. La dotation est de 4 M€ sur 8 ans à compter de septembre 2020.