[{"id":"FNDSA","semesterYearStr":"HT 2025","data":{"urval":{"provProcent":null,"alternativtUrval":false,"betygProcent":null,"altUrvalInfoURL":null,"akademiskaProcent":100,"beskrivning":{"en":"The selection procedure is based on academic qualifications, quality and quantity aspects","sv":"Meritvärdering och urval baseras på examensinriktning och kursinnehåll avseende kvalitet och kvantitet"},"alternativProcent":null},"termin":{"period":null,"year":2025,"termin":"ht"},"program":{"kod":"FNDSA","benamning":{"en":"Master Programme in Data Science","sv":"Data Science, magister"}},"niceBehorighet":{"en":"Academic degree of at least 180 higher education credits, in the areas of Systems Science, Computer Science, Computer Engineering, Information Systems or equivalent. The degree shall include courses in programming and databases with a minimum of 7,5 credits each.\n\nGood knowledge in English, equivalent to English 6","sv":"Akademisk examen om minst 180 hp inom systemvetenskap, datavetenskap, datateknik, informationssystem eller inom näraliggande område, samt kurser inom programmering och databaser om minst 7,5 hp vardera.\n\nGoda kunskaper i engelska, motsvarande Engelska 6"},"niceBehorighetInternationell":{"en":"Academic degree of at least 180 higher education credits, in the areas of Systems Science, Computer Science, Computer Engineering, Information Systems or equivalent. The degree shall include courses in programming and databases with a minimum of 7,5 credits each.\n\nGood knowledge in English, equivalent to English 6","sv":"Akademisk examen om minst 180 hp inom systemvetenskap, datavetenskap, datateknik, informationssystem eller inom näraliggande område, samt kurser inom programmering och databaser om minst 7,5 hp vardera.\n\nGoda kunskaper i engelska, motsvarande Engelska 6"},"endastGrundlaggandeBehorighet":false}},{"id":"FNDSA","semesterYearStr":"HT 2026","data":{"urval":{"provProcent":null,"alternativtUrval":false,"betygProcent":null,"altUrvalInfoURL":null,"akademiskaProcent":100,"beskrivning":{"en":"The selection procedure is based on academic qualifications, quality and quantity aspects","sv":"Meritvärdering och urval baseras på examensinriktning och kursinnehåll avseende kvalitet och kvantitet"},"alternativProcent":null},"termin":{"period":null,"year":2026,"termin":"ht"},"program":{"kod":"FNDSA","benamning":{"en":"Master Programme in Data Science","sv":"Data Science, magister"}},"niceBehorighet":{"en":"Academic degree of at least 180 higher education credits, in the areas of Systems Science, Computer Science, Computer Engineering, Information Systems or equivalent. The degree shall include courses in programming and databases with a minimum of 7,5 credits each.\n\nProficiency in English equivalent to Swedish upper secondary course English 6/level 2.","sv":"Akademisk examen om minst 180 hp inom systemvetenskap, datavetenskap, datateknik, informationssystem eller inom näraliggande område, samt kurser inom programmering och databaser om minst 7,5 hp vardera.\n\nGoda kunskaper i engelska, motsvarande Engelska 6/nivå 2."},"niceBehorighetInternationell":{"en":"Academic degree of at least 180 higher education credits, in the areas of Systems Science, Computer Science, Computer Engineering, Information Systems or equivalent. The degree shall include courses in programming and databases with a minimum of 7,5 credits each.\n\nProficiency in English equivalent to Swedish upper secondary course English 6/level 2.","sv":"Akademisk examen om minst 180 hp inom systemvetenskap, datavetenskap, datateknik, informationssystem eller inom näraliggande område, samt kurser inom programmering och databaser om minst 7,5 hp vardera.\n\nGoda kunskaper i engelska, motsvarande Engelska 6/nivå 2."},"endastGrundlaggandeBehorighet":false}},{"id":"FNDSA","semesterYearStr":"HT 2027","data":{"urval":{"provProcent":null,"alternativtUrval":false,"betygProcent":null,"altUrvalInfoURL":null,"akademiskaProcent":100,"beskrivning":{"en":"The selection procedure is based on academic qualifications, quality and quantity aspects","sv":"Meritvärdering och urval baseras på examensinriktning och kursinnehåll avseende kvalitet och kvantitet"},"alternativProcent":null},"termin":{"period":null,"year":2026,"termin":"ht"},"program":{"kod":"FNDSA","benamning":{"en":"Master Programme in Data Science","sv":"Data Science, magister"}},"niceBehorighet":{"en":"Academic degree of at least 180 higher education credits, in the areas of Systems Science, Computer Science, Computer Engineering, Information Systems or equivalent. The degree shall include courses in programming and databases with a minimum of 7,5 credits each.\n\nProficiency in English equivalent to Swedish upper secondary course English 6/level 2.","sv":"Akademisk examen om minst 180 hp inom systemvetenskap, datavetenskap, datateknik, informationssystem eller inom näraliggande område, samt kurser inom programmering och databaser om minst 7,5 hp vardera.\n\nGoda kunskaper i engelska, motsvarande Engelska 6/nivå 2."},"niceBehorighetInternationell":{"en":"Academic degree of at least 180 higher education credits, in the areas of Systems Science, Computer Science, Computer Engineering, Information Systems or equivalent. The degree shall include courses in programming and databases with a minimum of 7,5 credits each.\n\nProficiency in English equivalent to Swedish upper secondary course English 6/level 2.","sv":"Akademisk examen om minst 180 hp inom systemvetenskap, datavetenskap, datateknik, informationssystem eller inom näraliggande område, samt kurser inom programmering och databaser om minst 7,5 hp vardera.\n\nGoda kunskaper i engelska, motsvarande Engelska 6/nivå 2."},"endastGrundlaggandeBehorighet":false}}]