Study abroad in Padova, Italy: Most popular universities for Applied Mathematics.

Are you thinking of studying Applied Mathematics, abroad? Below you can find the most popular universities and programmes to study Applied Mathematics in Padova, Italy. This list is based on visitors on the Studyportals websites, listing more than 150,000 English-taught Bachelor's and Master's programmes world-wide.



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University of Padua

The University of Padua is one of Europe’s oldest and most prestigious seats of learning; it is a multi-disciplinary university that aims to provide its students with both professional training and a solid cultural background.
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Most popular Applied Mathematics programmes for international students in Padova

These are the most popular programmes among international students who are looking for a Applied Mathematics degree in Padova.

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ALGANT - Algebra, Geometry and Number Theory

University of Padua

The ALGANT - Algebra, Geometry and Number Theory programme at University of Padova was launched with the support of the Erasmus Mundus programme of the European Commission. Throughout the years, the programme has distinguished itself in excellence and is known all over the world.
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Study abroad in English

To apply at one of these universities, you may need a proof of English proficiency. There are several standardised English tests that you can take to proof your English level, such as the PTE (Pearson Test of English), TOEFL (Test of English as a Foreign Language), CAE (Cambridge Advanced English) and IELTS (International English Language Testing System), offered by British Council and IDP. IELTS is the most popular of these tests, with British Council offering more than 1000 test locations and being accepted by more than 9,000 organisations world-wide.

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About Applied Mathematics

Applied Mathematics degrees teach students to quantify and explain observed physical, social or business phenomena, but also to predict possible outcomes. Applied Mathematics students use mathematical methods and models, as well as Computational Mathematics in areas such as materials analysis and processing, weather forecasting, financial services, network management, or optimisation.

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