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
Programmes
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BSc Applied Data Science & Artificial Intelligence
Duration: 4 Years
Breda University of Applied Sciences
Tuition fee: € 2601 p/a
Duration: 3 Years
Tuition fee: € 2601 p/a
Duration: 3 Years
Tuition fee: € 2601 p/a
Sponsored:
BSc Applied Mathematics and Computing
Duration: 4 Years
Universidad Carlos III de Madrid
Tuition fee: € 1283 p/a
BSc Applied Maths/Data Science
Duration: 4 Years
Inholland University of Applied Sciences
Tuition fee: € 2601 p/a
