Second cycle degree in

Statistical sciences (2020/2021)

Class: LM-82 - Statistics

Class LM-82 - Statistics
Duration 2 years
Branch Padova
Language Italian
Tuition fees and scholarships
President of the Course of Study NICOLA SARTORI
Access Open access with admission requirements

The second Call for applications A.Y. 2020/21 for international students is available on apply.unipd.it according to the following timeline:

  • 7th April-7th June: non-EU applicants residing outside Italy
  • 7th April-7th July: EU applicants of equivalent

The existence of large amounts of data needing to be collected, analysed and processed is the core of data science courses such as this one, which trains high-level professionals and guarantees a high employability rate. There are, in fact, numerous sectors of production of goods and services requiring statistical solutions, thus making a constant evolution of this discipline crucial. You will acquire knowledge of probability theory, statistics and stochastic modeling and the tools, methods and models for analysing data in different applied contexts, ranging from demographic to social, from corporate to financial, from technological to biological and medical fields. You will be eligible to work in production and service companies, commercial, profit and non-profit, in banking and financial institutions, public entities.

  Deepening

Characteristics and objectives
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.

Occupational opportunities
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.

  Teaching list

I Anno PRINCIPLES OF BIOLOGY [ LIBERO VITIELLO ] PARTICLE PHYSICS: FOUNDATIONS, TOOLS AND ANALYSIS METHODS MACHINE LEARNING [ FABIO AIOLLI ] INFORMATIC METHODS FOR STATISTICS AND DATA SCIENCE [ EMANUELE DI BUCCIO ] QUANTITATIVE METHODS FOR COGNITIVE NEUROSCIENCES [ LIVIO FINOS ] INTRODUCTION TO STOCHASTIC PROCESSES [ MARCO FORMENTIN ] STOCHASTIC OPTIMIZATION [ LUIGI DE GIOVANNI ] THE TARGETS OF CLINICAL RESEARCH IN ONCOLOGY [ PIERFRANCO CONTE ] QUANTITATIVE MARKETING MARKETING (ADVANCED) [ ROBERTO GRANDINETTI ] SOCIAL MEDIA PROBABILITY THEORY [ MARKUS FISCHER ] DATA MINING [ BRUNO SCARPA ] STATISTICS (ADVANCED) [ NICOLA SARTORI ] STATISTICAL MODELS FOR SOCIAL DATA [ FAUSTA ONGARO ] FINAL EXAM II Anno STATISTICS: CASE STUDIES [ GUIDO MASAROTTO ] THEORY AND METHODS OF INFERENCE [ ALESSANDRA SALVAN ] EPIDEMIOLOGY AND STATISTICAL METHODS FOR MEDICAL RESEARCH (ADVANCED) [ GIOVANNA BOCCUZZO ] COMPUTATIONAL STATISTICS (ADVANCED) [ NICOLA SARTORI ] STATISTICAL METHODS AND MODELS FOR BUSINESS [ MARIANGELA GUIDOLIN ] STATISTICAL METHODS FOR CAUSAL INFERENCE [ ADRIANO PAGGIARO ] FINANCIAL DATA ANALYSIS [ FRANCESCO LISI ] STATISTICAL METHODS FOR THE ANALYSIS OF HIERARCHICAL DATA ISSUES AND METHODS FOR POPULATION AND SOCIETY [ STEFANO MAZZUCO ] EDUCATIONAL INTERNSHIP STATISTICS FOR TECHNOLOGY AND INDUSTRY [ GIOVANNA CAPIZZI ] COMPUTATIONAL BIOSTATISTICS AND BIOINFORMATICS [ DAVIDE RISSO ] STATISTICAL MODELS FOR ECONOMIC DATA [ MAURO BERNARDI ] STATISTICAL METHODS FOR MARKETING RESEARCH [ FRANCESCA BASSI ] STATISTICAL METHODS AND MODELS FOR FINANCE [ FRANCESCO LISI ] POPULATION THEORIES AND MODELS