\n
\n±¬ÁϳԹÏÍø profiles <\/h3>\n\n\n\n Each profile has a set of required courses<\/strong> and a set of related (optional) courses<\/strong> associated with it. A student realises a profile if she\/he has successfully validated all the required courses in a profile.<\/p>\n\n\n\nTo obtain the master degree, a student must realise at least one profile. By limiting the number of required courses in each semester we ensure that the student can pursue multiple profiles if she\/he desires so.<\/p>\n\n\n\n
Note that the set of profiles is not static. Indeed additional profiles<\/strong> may be introduced to accommodate student, professor or industry needs.<\/p>\n\n\n\n\n Information Systems Engineering Profile<\/h3>\n\n\n\n Learning Outcomes<\/strong><\/p>\n\n\n\nAfter successful completion of this profile the student will be able to<\/p>\n\n\n\n
\nuse standard IT management approaches to flexibly incorporate business demands in technical solutions <\/li>\n\n\n\n translate between the computer science and business side<\/li>\n\n\n\n spot and handle challenges arising from agile IT projects<\/li>\n\n\n\n see the bigger picture of an IT project, including the socio-ethical and sociopolitical implications of a technical solution<\/li>\n<\/ul>\n\n\n\nSemester 2<\/strong><\/em><\/p>\n\n\n\nRequired Courses:<\/strong><\/p>\n\n\n\n\nIntroduction to Information Systems Engineering<\/li>\n<\/ul>\n\n\n\n\nSmart Energy Systems<\/li>\n<\/ul>\n\n\n\nRelated Courses:<\/strong><\/p>\n\n\n\n\nBig Data Analytics<\/li>\n<\/ul>\n\n\n\n\nPrinciples of software development<\/li>\n<\/ul>\n\n\n\n\nDesigning interactive systems<\/li>\n<\/ul>\n\n\n\n\nOptimisation for computer science<\/li>\n<\/ul>\n\n\n\nSemester 3<\/strong><\/em><\/p>\n\n\n\nRequired Courses:<\/strong><\/p>\n\n\n\n\nGovernmental and Regulatory Technologies<\/li>\n<\/ul>\n\n\n\n\nFinancial Technologies<\/li>\n<\/ul>\n\n\n\nRelated Courses:<\/strong><\/p>\n\n\n\n\nResearch Methods in Information Systems Engineering<\/li>\n<\/ul>\n\n\n\n\nAdvanced project management<\/li>\n<\/ul>\n\n\n\n\nMachine learning<\/li>\n<\/ul>\n\n\n\n\nPhilosophy and ethics of AI<\/li>\n<\/ul>\n\n\n\n\nModel-driven software development<\/li>\n<\/ul>\n\n\n\n\nCryptocurrencies and the cryptographic blockchain<\/li>\n<\/ul>\n<\/div><\/section>\n<\/div>","protected":false},"excerpt":{"rendered":"","protected":false},"author":52,"featured_media":0,"parent":1211,"menu_order":0,"template":"","meta":{"featured_image_focal_point":[],"show_featured_caption":false,"ulux_newsletter_groups":"","uluxPostTitle":"Studies ","uluxPrePostTitle":"Master in Information and Computer Sciences ","_trash_the_other_posts":false,"_price":"","_stock":"","_tribe_ticket_header":"","_tribe_default_ticket_provider":"","_tribe_ticket_capacity":"0","_ticket_start_date":"","_ticket_end_date":"","_tribe_ticket_show_description":"","_tribe_ticket_show_not_going":false,"_tribe_ticket_use_global_stock":"","_tribe_ticket_global_stock_level":"","_global_stock_mode":"","_global_stock_cap":"","_tribe_rsvp_for_event":"","_tribe_ticket_going_count":"","_tribe_ticket_not_going_count":"","_tribe_tickets_list":"[]","_tribe_ticket_has_attendee_info_fields":false,"study_program_identifiers":"MAINFCOMPSCI2__F1_MA_MICS2__F1_M_MICS2","override_seo_title":false},"type-of-studies":[],"teaching-languages":[],"field-of-interest":[],"organisation":[29],"authorship":[52,254],"acf":[],"yoast_head":"\nInformation Systems Engineering Master in Information and Computer Sciences - FSTM I Uni.lu<\/title>\n \n \n \n \n \n \n \n \n \n \n \n \n\t \n\t \n\t \n \n \n\t \n