|Study location||Italy, Padua|
|Type||Master's degree, full-time|
|Nominal duration||2 years (120 ECTS)|
|Awards||(Laurea magistrale in Scienze statistiche)|
|Tuition fee||€2,623 per year
In order to accept your Offer at the University of Padova, you must pay the first instalment of tuition fees. Information on 2022/23 fees is not yet available, but the amounts will be more or less the same of 2021/22.
|Application fee||€30 one-time
This fee is non-refundable.
In order to accept your place at the University of Padua, the payment of the first instalment is required. This fee is non-refundable.
Bachelor diploma (or equivalent)
A minimum three-year undergraduate degree (or equivalent) in Computer Science, Information Engineering, Mathematical Science or Statistics OR related subjects or proven skills in Mathematics, Economics and statistics, Psychometrics and Medical statistics.
Please verify country-based specific entry title 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.
An efficient command of English language
Specific requirements for Non-EU applicants:
Italian language requirement
B2 Level (CEFR) or equivalent certificate
The following students do NOT need to submit evidence of Italian language proficiency:
Places for non-European candidates residing outside Italy: 20 (2 for Chinese students joining the Marco Polo Project)
The program is aimed at shaping students highly skilled in the field of data science, statistical analysis anche data management with sound expertise both on technical and substantive side. Graduated students are able to apply statistical theories and techniques for collecting, analysing and summarizing information, in order to give interpretative models of data, identify solutions to adopt in all the sectors of service and goods production, and increase the scientific knowledge.
The program makes the student achieve a sound double learning core: one focused on applied mathematics and statistics, and the other focused on statistical methods and models with applications to several fields. On these cores, a specialistic formation is built, characterised by further methodological, computational, applied skills, with applications in business, social and demographic sciences, technology and biostatistics.
Graduates are employed in several fields of production system, in public administration and research institutes. Con These competences are required in different functional such as data science, strategic marketing, market analysis, sales forecasting, research and development, decision support, planning and controllino, management of information system, industial politics analysis, financial support, analysis of financial markets and of investiments portfolios, the quality control, the evaluation of customer satisfaction, demographic forecasts.