Study Data Science in Denmark: programmes, fees and entry requirements

Denmark has 6 undergraduate programmes in Data Science at 4 universities in 3 cities. At public institutions EU students typically pay no tuition fee; non-EU students €17,300 a year (€15,000–€17,300).

Always check current information on the official website of the university before you apply.

All Data Science programmes in Denmark

ProgrammeUniversityCityLanguageLengthEU fee / yearNon-EU fee / yearEntry score
Data ScienceAarhus University (Aarhus)AarhusEnglish—€0€17,30011.2 (2026)
DatavidenskabAarhus University (Aarhus)AarhusDanish—€0€17,3006 (2026)
Data ScienceIT University of CopenhagenCopenhagenEnglish3 yr€0€16,5005.9 (2026)
Teknisk videnskab (Civilingeniør) Data science og managementTechnical University of Denmark (Kongens Lyngby)Kongens LyngbyDanish3 yr€0€15,0008.3 (2026)
Kognitions- og datavidenskabUniversity of Copenhagen (København)CopenhagenDanish3 yr€0—10.5 (2026)
Machine learning og datavidenskabUniversity of Copenhagen (København)CopenhagenDanish3 yr€0—6 (2024)

How admission works in Denmark

You apply through Optagelse.dk, the national portal of the Coordinated Admission (KOT): you can list up to 8 programmes and receive at most one offer, at your highest possible priority. You need a qualification on a level with the Danish upper secondary leaving certificate plus each programme's specific requirements, and Danish-taught programmes require proof of Danish. Where there are more applicants than places, quota 1 selects by grade point average (the score shown is the quota 1 cut-off on the Danish 7-point scale) and quota 2 by criteria set by the institution. For the 2027 intake Optagelse.dk opens on 1 February 2027; the deadline is 15 March 2027 at 12:00 for quota 2 and for anyone with a foreign or international (IB) diploma, and 5 July 2027 at 12:00 for quota 1 with a Danish diploma; answers come on 28 July.

See also: Study in Denmark · Data Science in other countries · Entry scores for Data Science in Denmark

Sources

How the figures are collected and calculated: Data and sources.