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    • Specialty – Digital Twin for Health (DTH)

    The Digi­tal Twin for Health (DTH) pro­gramme focuses on heal­th­care tech­no­lo­gies from a sys­tems engi­nee­ring perspective.

    Can­di­da­ter

    Guide des UE

    Pedagogical context

    The DTH pro­gramme builds on UTC's long-stan­ding exper­tise in bio­me­cha­nics and bio­me­di­cal engi­nee­ring. It aims to move beyond tra­di­tio­nal dis­ci­pli­na­ry boun­da­ries by brin­ging toge­ther various fields (engi­nee­ring sciences, life sciences and huma­ni­ties) through a mul­ti­dis­ci­pli­na­ry approach to education.

    The pro­gramme aims to equip stu­dents with advan­ced skills in bio­me­cha­ni­cal sys­tems model­ling, bio­me­di­cal and heal­th­care data ana­ly­sis, and the deve­lop­ment of deci­sion-sup­port tools.

    The main areas of stu­dy include:

    • Model­ling of living systems;
    • Digi­tal twins;
    • Pro­ces­sing of hete­ro­ge­neous and mul­ti­mo­dal data, and know­ledge extraction;
    • Model­ling and mana­ge­ment of com­plex phy­si­cal sys­tems, mul­tis­cale and mul­ti­phy­sics ana­lyses, and inverse problems;
    • Arti­fi­cial intel­li­gence (AI) methods;
    • Bio­me­cha­nics and bioengineering.

    Organisation

    The Digi­tal Twin for Health (DTH) pro­gramme is struc­tu­red over four semes­ters: three semes­ters of theo­re­ti­cal and prac­ti­cal cour­se­work (M1S1, M1S2 and M2S3), fol­lo­wed by one semes­ter (M2S4) devo­ted exclu­si­ve­ly to a long-term inter­n­ship (22 to 24 weeks). A short-term inter­n­ship (one month) at the end of the first semes­ter is also compulsory.

    First and Second Semesters of M1

    The pro­gramme comprises:

    • Spe­cia­li­sed scien­ti­fic and tech­ni­cal courses cove­ring bio­me­cha­nics, model­ling, AI methods, expe­ri­men­tal data ana­ly­sis and asso­cia­ted protocols;
    • Courses desi­gned to streng­then dis­ci­pli­na­ry know­ledge, sha­red with UTC's engi­nee­ring pro­grammes (Bio­me­di­cal Engi­nee­ring and Bio­me­cha­nics and Bio­ma­te­rials specialisations);
    • Courses in com­mu­ni­ca­tion skills (par­ti­cu­lar­ly aimed at achie­ving the requi­red level of pro­fi­cien­cy in a forei­gn lan­guage), busi­ness and mana­ge­ment (mana­ge­ment, pro­ject mana­ge­ment, etc.), and research metho­do­lo­gy and lite­ra­ture review tech­niques;
    • Final­ly, all M1 stu­dents are requi­red to com­plete a com­pul­so­ry one-month inter­n­ship bet­ween semes­ters, pro­vi­ding an ini­tial oppor­tu­ni­ty to gain expe­rience in a research laboratory.

    First Semester of M2

    The first semes­ter of M2 consists of:

    • An ini­tial tea­ching per­iod of three months (equi­va­lent to half a semes­ter), focu­sing on the fun­da­men­tals of hybrid model­ling of bio­me­cha­ni­cal and phy­sio­lo­gi­cal sys­tems, as well as advan­ced ana­ly­sis of hete­ro­ge­neous data for the deve­lop­ment of digi­tal twins;
    • A second three-month tea­ching per­iod, during which stu­dents dee­pen their know­ledge through spe­cia­li­sed courses. The pro­gramme reflects the main research areas of the BMBI labo­ra­to­ry.

    The pro­gramme draws on exis­ting courses from the Com­plex Sys­tems Engi­nee­ring (ISC) and IDC Master's pro­grammes, as well as engi­nee­ring course units, for the M1 curriculum.

    Contact et documentation

    Res­pon­sable mas­ter
    San­drine Moran­dat
     +33 (0)3 44 23 44 23
    Res­pon­sable du par­cours DTH
    Marie-Chris­tine Ho Ba Tho
     +33 (0)3 44 23 49 18

    Pla­quette du parcours

    Guide de l'étudiant

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