Study location	Italy, Padua
Type	Master's degree, full-time
Nominal duration	2 years (120 ECTS)
Study language	English
Awards	(Master's degree in Data Science)
Course code	SC2738/003PD/2023

Tuition fee	€2,739 per year For further information please visit: www.unipd.it/en/tuition-fees
Application fee	€30 one-time This fee is non-refundable.
Deposit	€205 one-time In order to accept your place at the University of Padua, the payment of the admission fee is required. This fee is non-refundable.

Entry qualification

Bachelor diploma (or equivalent) A minimum three-year undergraduate degree (or equivalent) is required, with proven skills in Mathematics and Computer Science Additional entry requirements – Entry title and GPA Please verify country-based specific entry title and GPA requirements at the following link. The entry qualification documents are accepted in the following languages: English / Italian. You can often get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original. You must take the original entry qualification documents with you when you finally go to the university. If you are admitted to the degree course, you will have to submit other documents including original and translated/legalised copies of your previous qualifications, etc. No legalised documents are required at application stage.

Language requirements	English B2 level (CEFR) or equivalent Please check out this link for the full list of accepted certificates, minimum scores and exemptions

More information	unipd.it/en/data-science  datascience.math.unipd.it

Overview

The Master’s degree intends to build data scientists whose solid technical background is complemented by a multidisciplinary preparation on various fields in which big data emerge. Highly required by industries, consulting companies and public institutions, data scientists design and implement the analysis of big data and provide managers and stakeholders with a clear account of their results.

Programme structure

1st year: Stochastic Methods, Statistical Learning, Machine Learning, etc.

2nd year:
- Path 1: Mathematics of Data Science
- Path 2: Biological Data Analytics
- Path 3: Machine Learning for Intelligent Systems
- Path 4: Cognitive, Social and Economic Data Analytics

Career opportunities

Graduates master tools for collecting, managing and analysing big data, and to translate their work into highly valuable information. Graduates work as professionals in research centres, internet companies, consulting companies, startups and high tech industries and public administrations.