The UTC ARS master’s degree course addresses and ana­lyses the soft­ware behind auto­no­mous mutual­ly inter­ac­ting sys­tems, i.e., what are known as sys­tems of sys­tems (SoS). These SoS are found in ‘smart‘ vehicles able to com­mu­ni­cate with each other, with smart trans­port sys­tem infra­struc­tures, with air­borne mini drones, and with sen­sor net­works that exchange data in real time. The sys­tems stu­died gene­ral­ly have capa­bi­li­ties rela­ting to per­cep­tion, com­mu­ni­ca­tion, lear­ning, deci­sion-making and action, and are able to inter­act with their envi­ron­ment and with simi­lar sys­tems. They must also be able to handle nume­rous sources of uncer­tain­ty that can impact per­for­mance and, conse­quent­ly, how well the whole sys­tem func­tions. The French govern­ment awards a ‘Labo­ra­to­ry of Excel­lence’ (Labex) qua­li­ty label to a small num­ber of research ins­ti­tu­tions of par­ti­cu­lar merit, and the awar­ding of this label also depends on the qua­li­ty of the tea­ching dis­pen­sed. This master’s degree is an inte­gral part of UTC’s Labex rela­ting to sys­tems of systems.

Pedagogy

The course seeks to give stu­dents the know­ledge and skills for desi­gning, stu­dying and imple­men­ting com­plex sys­tems like these, and focuses on the fol­lo­wing aspects of IT and systems:

• ope­ra­tio­nal safe­ty fac­tors, super­vi­sion & surveillance
• data mer­ging, machine learning
• opti­mi­za­tion, ope­ra­tions research (OR)
• auto­ma­tion & control, dyna­mic sys­tem model­ling, state/phase observation
• robot control and navi­ga­tion robo­tics, per­cep­tion, vision
• com­plex sys­tems, sys­tems of sys­tems (SoS)

Professional objectives

Confer­ring scien­ti­fic and tech­no­lo­gi­cal know­ledge and skills of the highest level, equip­ping gra­duates for the desi­gn and model­ling of inno­va­tive sys­tems of sys­tems (SoS), using a mul­ti­dis­ci­pli­na­ry approach.

Stu­dents who suc­cess­ful­ly com­plete this ARS master's degree may choose to pur­sue a PhD, or to apply for pro­fes­sio­nal posi­tions in public or pri­vate research acti­vi­ties, in deve­lop­ment and inno­va­tion as research scien­tists, pro­ject mana­gers, sys­tems and for­mal metho­do­lo­gy experts, etc.

Contact and documentation

Res­pon­sable mas­ter

San­drine Moran­dat

 +33 (0)3 44 23 44 23

master@utc.fr

Res­pon­sable du par­cours

Phi­lippe Xu

 +33 (0)3 44 23 41 62

philippe.xu@utc.fr

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