Second cycle degree in

Statistical sciences

Class: LM-82 - Statistics

Logo QS
Class LM-82 - Statistics
Duration 2 years
Branch Padova
Language Italian
Tuition fees and scholarships
Programme coordinator FRANCESCO LISI
Access Open access with admission requirements

Next Calls for applications (international students) - A.Y. 2021/22:

  • 1st Call: 2 November 2020-2 February 2021
  • 2nd Call: 2 March-2 May 2021(non-EU)/2 June (EU)

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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.

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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

Training

I Year PROBABILITY THEORY [CFU 9] DATA MINING [CFU 9] STATISTICS (ADVANCED) [CFU 9] STATISTICAL MODELS FOR SOCIAL DATA [CFU 9] PRINCIPLES OF BIOLOGY [CFU 9] PARTICLE PHYSICS: FOUNDATIONS, TOOLS AND ANALYSIS METHODS [CFU 9] MACHINE LEARNING [CFU 6] INFORMATIC METHODS FOR STATISTICS AND DATA SCIENCE [CFU 9] QUANTITATIVE METHODS FOR COGNITIVE NEUROSCIENCES [CFU 9] INTRODUCTION TO STOCHASTIC PROCESSES [CFU 9] STOCHASTIC OPTIMIZATION [CFU 9] THE TARGETS OF CLINICAL RESEARCH IN ONCOLOGY [CFU 9] MARKETING (ADVANCED) [CFU 9] QUANTITATIVE MARKETING [CFU 9] SOCIAL MEDIA [CFU 9] II Year EDUCATIONAL INTERNSHIP [CFU 1] STATISTICAL MODELS FOR ECONOMIC DATA [CFU 9] STATISTICAL METHODS FOR HIGH DIMENSIONAL DATA [CFU 9] STATISTICAL METHODS FOR FUNCTIONAL DATA [CFU 9] COMPUTATIONAL STATISTICS (ADVANCED) [CFU 9] STATISTICS: CASE STUDIES [CFU 9] EPIDEMIOLOGY AND STATISTICAL METHODS FOR MEDICAL RESEARCH (ADVANCED) [CFU 9] THEORY AND METHODS OF INFERENCE [CFU 9] FINANCIAL DATA ANALYSIS [CFU 9] STATISTICAL METHODS FOR THE ANALYSIS OF HIERARCHICAL DATA [CFU 9] STATISTICAL METHODS FOR CAUSAL INFERENCE [CFU 9] STATISTICAL METHODS AND MODELS FOR BUSINESS [CFU 9] ISSUES AND METHODS FOR POPULATION AND SOCIETY [CFU 9] MULTIPLE-SOURCE DATA AND TERRITORIAL ANALYSES [CFU 9] STATISTICS FOR TECHNOLOGY AND INDUSTRY [CFU 9] COMPUTATIONAL BIOSTATISTICS AND BIOINFORMATICS [CFU 9] STATISTICAL METHODS AND MODELS FOR FINANCE [CFU 9] STATISTICAL METHODS FOR MARKETING RESEARCH [CFU 9] POPULATION THEORIES AND MODELS [CFU 9]