Learning objectives

The Bach­e­lor of Sci­ence pro­gramme aims at pro­vid­ing the stu­dents with an ade­quate back­ground of meth­ods and gen­er­al sci­en­tif­ic con­tents, as well as with the knowl­edge of the main tools need­ed to prac­tice the job of engi­neer. For this, a sol­id back­ground in fun­da­men­tal sci­en­tif­ic dis­ci­plines, such as math­e­mat­ics and physics, is required togeth­er with spe­cif­ic skills in the tra­di­tion­al engi­neer­ing sub­jects, such as mechan­ics, ther­mo­dy­nam­ics, and elec­tri­cal machines, and in the infor­ma­tion tech­nol­o­gy sub­jects, i.e. com­put­er sci­ence, elec­tron­ics, telecom­mu­ni­ca­tions, and control.

Grad­u­ates have all the nec­es­sary skills to design or man­age sys­tems result­ing from the inte­gra­tion of high­ly dif­fer­ent tech­nolo­gies. This flex­i­bil­i­ty, both in the atti­tude and in the com­pe­tences, is a sig­nif­i­cant asset of the Automa­tion Engi­neer, in view of the wide range of pos­si­ble appli­ca­tions, of the con­tin­u­ous and rapid evo­lu­tion of tech­nol­o­gy and of the dynam­ics of the job market.

The Mas­ter of Sci­ence pro­gramme is char­ac­ter­ized by a strong sci­en­tif­ic and tech­no­log­i­cal nature. The goal is to train experts who under­stand and con­tribute to the tech­no­log­i­cal evo­lu­tion, using the results of the research for the design of inno­v­a­tive automa­tion sys­tems in inher­ent­ly mul­ti­dis­ci­pli­nary con­texts and in high­ly com­pet­i­tive industries.

The Mas­ter of Sci­ence grad­u­ate should then:

  • have gained a good grasp of the math­e­mat­i­cal tools nec­es­sary for the analy­sis and design of com­plex automa­tion systems;
  • have gained a thor­ough under­stand­ing of the tech­nolo­gies and process­es typ­i­cal of some of the major indus­tri­al sec­tors where automa­tion plays an increas­ing­ly impor­tant role;
  • have devel­oped the abil­i­ty to explore and eval­u­ate the offer and mar­ket trends in the field of instru­men­ta­tion and sys­tem com­po­nents, in view of inno­v­a­tive applications;
  • have gained famil­iar­i­ty with the most advanced tech­niques for the iden­ti­fi­ca­tion, analy­sis, sim­u­la­tion, opti­miza­tion, and con­trol of dynam­i­cal sys­tems of all kinds, as well as the abil­i­ty to merge them in an effec­tive and cre­ative man­ner, tai­lored to the spe­cif­ic char­ac­ter­is­tics of the prob­lems to be solved;
  • have grown apti­tude for team­work and the abil­i­ty to embrace the prin­ci­ples and meth­ods of organization.