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  • Specialty – Machine Learning and Optimization of Complex Systems (AOS)

    The AOS master’s degree course focuses on lear­ning theory/practice and opti­mi­za­tion, as applied to auto­no­mous inter­ac­ting tech­no­lo­gy-inten­sive sys­tems, the so-cal­led 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 imple­ment machine lear­ning, deci­sion-making and action capa­bi­li­ties while inter­ac­ting with their envi­ron­ment and with other 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 award 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.


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

    • opti­mi­za­tion, ope­ra­tions research (OR)
    • data ana­ly­sis, machine lear­ning and deep lear­ning protocols
    • deci­sion-making theo­ry, robust opti­mi­za­tion and sto­chas­tic programming
    • com­plex sys­tems, sys­tems of sys­tems (SoS)

    Professional objectives

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

    Stu­dents who suc­cess­ful­ly com­plete this AOS 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 and experts, pro­ject mana­gers, data scien­tists, etc.

    Contact and documentation

    Res­pon­sable mas­ter
    San­drine Moran­dat
     +33 (0)3 44 23 44 23
    Res­pon­sable du par­cours
    Dri­tan Nace
     +33 (0)3 44 23 43 02
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