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MSc in Data Science abroad

Taught at 21 universities across 4 countries. Tuition runs from ₹16.67 L to ₹45.43 L a year.

Universities21
Countries4
Cheapest₹16.67 Lper year
Average₹31.99 Lper year
Most expensive₹45.43 Lper year

Where to study MSc in Data Science

Best-ranked first, then cheapest.

University Rank Duration Tuition / year
Arden University Berlin Berlin, Germany 1 year ₹16.67 L
Schiller International University - Germany Heidelberg, Germany 10 months ₹18.45 L
Lancaster University, Leipzig Leipzig, Germany 1 year ₹27.79 L
University of Birmingham Dubai Dubai, Dubai 12 months ₹45.43 L
University of Nottingham Nottingham, England, United Kingdom #1 12 months ₹42.12 L
Ludwig Maximilians University Munich Munich, Germany #30 2 years Fee on request
University of Glasgow Glasgow, Scotland, United Kingdom #76 12 months ₹44.59 L
University of Southampton Southampton, United Kingdom #81 12 months ₹45.27 L
University of Exeter Exeter, United Kingdom #105 12 months ₹39.19 L
University of Birmingham Birmingham, England, United Kingdom #151–200 1 year ₹44.94 L
Heriot Watt University Edinburgh, Scotland, United Kingdom #235 1 year ₹34.02 L
University of Surrey Guildford, Surrey, United Kingdom #244 1 year ₹33.59 L
Swansea University Swansea, United Kingdom #281–300 1 year ₹31.3 L
CITY, University of London London, United Kingdom #283 1 year ₹25.81 L
Birkbeck, University of London London, United Kingdom #304 1 year ₹29.73 L
University of Augsburg Augsburg, Germany #596 2 years Fee on request
Thompson Rivers University Kamloops, British Columbia, Canada #601–800 2 years ₹17.15 L
Teesside University Middlesbrough, United Kingdom #695 1 year - 2 years ₹21.99 L
Technical University of Ilmenau Iserlohn, Germany #717 2 years Fee on request
University of Trier Trier, Germany #814 2 years Fee on request
University of Hertfordshire Hertfordshire, England, United Kingdom 12 months - 15 months ₹25.81 L

Fees are as published by the source and converted to rupees. They are indicative: confirm on the university's own page before budgeting.