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  • Université de technologie de Compiègne / Courses and training / The UTC engineering diploma / Computer Sciences and Engineering (GI) / Specialty – Artificial Intelligence and Data Sciences (IAD)

    • Specialty – Artificial Intelligence and Data Sciences (IAD)

    This course is open to UTC apprenticeship candidates.

    In addi­tion to acqui­ring reco­gni­zed scien­ti­fic and tech­no­lo­gi­cal skills, uni­ver­si­ty degree appren­ti­ce­ships enable stu­dents to learn pro­fes­sio­nal skills that are par­ti­cu­lar­ly appre­cia­ted by companies.

    Learn More

    The aim of the IAD pro­gram is to train engi­nee­ring stu­dents in the tech­niques and methods that relate to Arti­fi­cial Intel­li­gence and Data Science in the broa­dest sense. The fields cove­red are know­ledge engi­nee­ring, lear­ning, data engi­nee­ring and deci­sion-making methods.

    Can­di­da­ter

    Guide des UV

    Course contents

    The course focuses on three main areas: buil­ding and struc­tu­ring data­bases or data ware­houses, from occa­sio­nal­ly hete­ro­ge­neous sources or sys­tems; data exploi­ta­tion, using data ana­ly­sis (data mining) and machine lear­ning tools; and know­ledge management.

    Engi­neers gra­dua­ting from the IAD pro­gram will acquire skills in:

    • data­bases, data ware­houses, data dis­tri­bu­tion and cal­cu­la­tions (CC NF26),
    • data ana­ly­sis and machine lear­ning: fac­tor ana­ly­sis, auto­ma­tic clas­si­fi­ca­tion, seg­men­ta­tion, dis­cri­mi­nant ana­ly­sis, deci­sion trees, arti­fi­cial neu­ral net­works, etc.(CCs SY09 and SY19),
    • know­ledge mana­ge­ment: know­ledge extrac­tion and mana­ge­ment, know­ledge capi­ta­li­za­tion, indexing and infor­ma­tion retrie­val, rule- and model-based rea­so­ning, reac­tive and cog­ni­tive agents, etc. (CCs IA03, IA04 and LO17).

    Pedagogical team

    The tea­ching team is made up of mem­bers of the CID team of the CNRS UTC Heu­dia­syc UMR7253 research labo­ra­to­ry. The research acti­vi­ties of the team are rela­ted to AI (arti­fi­cial intel­li­gence). The team's research acti­vi­ties are in the field of arti­fi­cial intel­li­gence. CID's research focuses on sta­tis­ti­cal lear­ning, uncer­tain­ty mana­ge­ment and know­ledge engi­nee­ring, with appli­ca­tions to know­ledge capi­ta­li­za­tion, path recom­men­da­tion and the scrip­ting of vir­tual environments.

    Facilities and infrastructures

    Tea­ching is imple­men­ted via super­vi­sed ses­sions and pro­jects, on UTC based machines or on dedi­ca­ted ser­vers for cer­tain courses.

    Internships and industrial relations

    In addi­tion, confe­rences are orga­ni­zed each year to com­ple­ment the courses and pro­vide a dif­ferent pers­pec­tive on cur­rent issues. Final­ly, a peda­go­gi­cal coun­cil brings toge­ther the tea­ching staff and exter­nal experts from indus­try and other edu­ca­tio­nal esta­blish­ments, to adapt content to deve­lop­ments in the field. Offers for inter­n­ships are plen­ti­ful and varied.

    International outreach

    IAD stu­dents can spend a large num­ber of semes­ters abroad (Cana­da, Swe­den, Spain, USA, Japan…). They can also conti­nue their trai­ning during their stays abroad, as part­ner ins­ti­tu­tions gene­ral­ly offer courses simi­lar or even com­ple­men­ta­ry to those in the UTC pro­gramme. A num­ber of end-of-stu­dy pro­jects involve inter­na­tio­nal work.

    Professional openings

    Main career oppor­tu­ni­ties include:

    • Data scien­tist. Desi­gn of lear­ning and ana­ly­sis methods, eva­lua­tion of methods, aca­de­mic or indus­trial research, etc.
    • Data engi­neer. Imple­men­ta­tion of lear­ning methods, pipe­line desi­gn, data ana­ly­sis, busi­ness intel­li­gence, etc.
    • Know­ledge engi­neer. Know­ledge extrac­tion and mana­ge­ment, busi­ness pro­cess model­ling, know­ledge capi­ta­li­za­tion, web pro­gram­ming, etc.

    Our triple acu­men in data science, data ware­house mana­ge­ment and know­ledge engi­nee­ring is high­ly valued by com­pa­nies and enables us to work in a wide varie­ty of sectors:

    • for com­pa­nies spe­cia­li­zing in infor­ma­tion tech­no­lo­gy, in par­ti­cu­lar soft­ware publi­shers (Das­sault, SAP, etc.);
    • or com­pa­nies or govern­ment agen­cies (banks, insu­rance com­pa­nies, indus­trial pro­duc­tion, dis­tri­bu­tion, tele­com­mu­ni­ca­tions, etc.);
    • within IT ser­vices and engi­nee­ring com­pa­nies (SSII).

    Contact and documentation

    Res­pon­sable de la filière
    Domi­tile Lourdeaux
     +33 (0)3 44 23 79 84
    Res­pon­sable pédagogique
    Meh­di Serairi
     +33 (0)3 44 23 44 75
    Coor­di­na­trice des stages
    Maryam Ly
     +33 (0)3 44 23 52 37

    Pla­quette GI

    Guide de l'étudiant

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