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.
1st Year: Fundamentals of Information Systems; Stochastic Methods; Statistical Learning; Cognitive, Behavioural and Social Data; Algorithmic Methods and Machine Learning; Optimization for Data Science; 1 elective course
2nd Year: Business Economic and Financial Data; Biological data; 3 elective courses; Internship
Curricular requirements and adequate educational background To be admitted to the course, basic knowledge in the following disciplines is required: classical and quantum physics, statistical mechanics, calculus and geometry, experience of general physics laboratory. This knowledge is verified by the achievement of:
1) Degree classification equivalent to at least 85/110;
2) a B2 level of ENGLISH (reading and listening).
For candidates with a foreign degree, the academic requirements are verified by the admission commission.
Should it not be possible to assess directly the equivalence of the degree or the equivalence of the degree classification with the Italian system and whether requirements are met, the admission commission will evaluate the overall academic records of the applicant.
At the end of the process, the Commission will decide whether or not the candidate meets the curricular requirements and has an adequate educational background; a merit list will be drawn up only for non-EU citizens residing abroad if the number of applicants exceeds the number of places available.
The University of Padua, the Veneto Region and other organisations offer various scholarship schemes to support students.
The total amount of the fees depends on the ISEE (Equivalent Economic Status Index) and on the chosen degree (unless scholarships or fee-waivers). Further information on: https://www.unipd.it/en/funding-and-fees
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.