| First cycle degree courses | Second cycle degree courses | Single cycle degree courses |
| School of Science | ||
| STATISTICAL SCIENCES | ||
Information concerning the students who enrolled in A.Y. 2018/19
If it is not your enrollment A.Y. go back to the home page
Degree course details
| Degree course type | Second cycle degree D.M. 270/2004 |
 bring this page with you |
|---|---|---|
| Degree course code | SS1736 | |
| Activated in | 2009/10 | |
| Year of degree course structure | 2014/15 | |
| Class (Ministerial field of study code) | LM-82 - Statistics | |
| Degree issued | ||
| Branch | Padova | |
| Language | Italian | |
| Degree course tracks |
Common track
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| Related degree courses | -- | |
| Other degree courses within the same class | -- |
| Degree programme regulations | Regulations | Rector's decree and regulations, issued on 22/05/2018 with RD n. 1673/2018 |
|---|---|---|
| Annex 1 | General description of educational activities | |
| Annex 2 | Study progression and proposed educational activities (course units, contact hours, credits, relevant subject areas, teaching-learning methodology, etc.) |
Brief description of the degree course
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.
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.
Course calendar
| Show course schedule | 2019/20 Reg.2014 course timetable |
|---|---|
| Show examination schedule | 2019/20 Reg.2014 examination schedule |
| Show final examination schedule | 2019/20 Reg.2014 final examination schedule |
Links
| Website of the academic structure | http://www.stat.unipd.it/studiare/ammissione-laurea-magistrale |
|---|---|
| Ministerial websites | Universitaly |
| Academic reference structures | School of Science Department of Statistical Sciences |
Accreditation and Assessment Team Members
| Docente | BASSI FRANCESCA | (16/04/2016—30/09/2020) |
|---|---|---|
| Docente | SARTORI NICOLA | (01/10/2016—30/09/2020) |
| Docente | TANTURRI MARIA LETIZIA | (01/10/2016—30/09/2020) |
| Presidente GAV | SCARPA BRUNO | (01/10/2016—30/09/2020) |
| Stakeholder | ANASTASIA BRUNO | (01/10/2016—30/09/2020) |
| Studente | BELLONI PIETRO | (01/10/2016—30/09/2020) |
| Studente | PINATO CARLO | (01/10/2016—30/09/2020) |
Course units available for each Academic Year of the degree course
Please note:
-
Click on "Details for students enrolled in A.Y. 2018/19" to see
the details of the course units provided for in your study plan.
Is this link not available? It means that the course unit details provided for in your study plan are not yet available. -
Click on "Current A.Y." in these cases:
- if you still have to take an exam of previous Academic Years: through this link you can verify if the current teacher in charge and syllabus are changed;
- if you want information about the exams you will take in the coming Academic Years: since the specific details of your future exams are not yet available, you can see the contents of the same course units that are taught in the current Academic Year.
Is this link not available? It means that the course unit is not taught in the current A.Y.: contact the teacher in charge or the Chair of the Degree Course to know the syllabus. - From May to the end of September you can also see the next A.Y. details for each course unit as soon as they are available.
| Degree course track | Course unit code | Course unit name | Credits | Year | Period | Lang. | Teacher in charge |
|---|---|---|---|---|---|---|---|
| COMMON | SCP4063078 | COMPUTATIONAL FINANCE
Details for students enrolled in A.Y. 2018/19 Current A.Y. 2019/20 |
9 | 1st Year (2018/19) | First semester |
ENG | MASSIMILIANO CAPORIN |
| COMMON | SS02107624 | INFORMATION SYSTEMS
Details for students enrolled in A.Y. 2018/19 Current A.Y. 2019/20 |
6 | 1st Year (2018/19) | First semester |
ITA | MARISTELLA AGOSTI |
| COMMON | SC01122905 | MACHINE LEARNING
Details for students enrolled in A.Y. 2018/19 Current A.Y. 2019/20 |
6 | 1st Year (2018/19) | First semester |
ITA | FABIO AIOLLI |
| COMMON | SCP4063085 | MARKETING (ADVANCED)
Details for students enrolled in A.Y. 2018/19 Current A.Y. 2019/20 |
9 | 1st Year (2018/19) | First semester |
ITA | ROBERTO GRANDINETTI |
| COMMON | SCP8084941 | PARTICLE PHYSICS: FOUNDATIONS, TOOLS AND ANALYSIS METHODS
Details for students enrolled in A.Y. 2018/19 Current A.Y. 2019/20 |
9 | 1st Year (2018/19) | First semester |
ITA | TOMMASO DORIGO |
| COMMON | SCP4063319 | PRINCIPLES OF BIOLOGY
Details for students enrolled in A.Y. 2018/19 Current A.Y. 2019/20 |
9 | 1st Year (2018/19) | First semester |
ITA | LIBERO VITIELLO |
| COMMON | SCP4062979 | PROBABILITY THEORY
Details for students enrolled in A.Y. 2018/19 Current A.Y. 2019/20 |
9 | 1st Year (2018/19) | First semester |
ITA | MARKUS FISCHER |
| COMMON | SCP6076457 | QUANTITATIVE MARKETING
Details for students enrolled in A.Y. 2018/19 Current A.Y. 2019/20 |
9 | 1st Year (2018/19) | First semester |
ITA | CLAUDIO MOSCARDINI |
| COMMON | SCP8084942 | QUANTITATIVE METHODS FOR COGNITIVE NEUROSCIENCES
Details for students enrolled in A.Y. 2018/19 Current A.Y. 2019/20 |
9 | 1st Year (2018/19) | First semester |
ITA | LIVIO FINOS |
| COMMON | SCP4063071 | STATISTICAL MODELS FOR SOCIAL DATA
Details for students enrolled in A.Y. 2018/19 Current A.Y. 2019/20 |
9 | 1st Year (2018/19) | First semester |
ITA | FAUSTA ONGARO |
| COMMON | SCP4063083 | STOCHASTIC PROCESSES
Details for students enrolled in A.Y. 2018/19 Current A.Y. 2019/20 |
9 | 1st Year (2018/19) | First semester |
ITA | MARCO FORMENTIN |
| COMMON | SCP4062891 | DATA MINING
Details for students enrolled in A.Y. 2018/19 Current A.Y. 2019/20 |
9 | 1st Year (2018/19) | Second semester |
ITA | BRUNO SCARPA |
| COMMON | SCP7081820 | INFORMATIC METHODS FOR STATISTICS AND DATA SCIENCE
Details for students enrolled in A.Y. 2018/19 Current A.Y. 2019/20 |
9 | 1st Year (2018/19) | Second semester |
ITA | MASSIMO MELUCCI |
| COMMON | SCP7081819 | SOCIAL MEDIA
Details for students enrolled in A.Y. 2018/19 Current A.Y. 2019/20 |
9 | 1st Year (2018/19) | Second semester |
ITA | ANDREA SCIANDRA |
| COMMON | SCP4063084 | STATISTICS (ADVANCED)
Details for students enrolled in A.Y. 2018/19 Current A.Y. 2019/20 |
9 | 1st Year (2018/19) | Second semester |
ITA | ANTONIO CANALE |
| COMMON | SCP4063217 | STOCHASTIC OPTIMIZATION
Details for students enrolled in A.Y. 2018/19 Current A.Y. 2019/20 |
9 | 1st Year (2018/19) | Second semester |
ITA | LUIGI DE GIOVANNI |
| COMMON | SCP7081744 | THE TARGETS OF CLINICAL RESEARCH IN ONCOLOGY
Details for students enrolled in A.Y. 2018/19 Current A.Y. 2019/20 |
9 | 1st Year (2018/19) | Second semester |
ITA | PIERFRANCO CONTE |
| COMMON | SCP4063318 | COMPUTATIONAL BIOSTATISTICS AND BIOINFORMATICS
Details for students enrolled in A.Y. 2018/19 Current A.Y. 2019/20 |
9 | 2nd Year (2019/20) | First semester |
ITA | DAVIDE RISSO |
| COMMON | SCP4063389 | COMPUTATIONAL STATISTICS (ADVANCED)
Details for students enrolled in A.Y. 2018/19 Current A.Y. 2019/20 |
9 | 2nd Year (2019/20) | First semester |
ITA | NICOLA SARTORI |
| COMMON | SCP4063360 | POPULATION THEORIES AND MODELS
Details for students enrolled in A.Y. 2018/19 Current A.Y. 2019/20 |
9 | 2nd Year (2019/20) | First semester |
ITA | MARIA LETIZIA TANTURRI |
| COMMON | SCP4063351 | STATISTICAL METHODS AND MODELS FOR FINANCE
Details for students enrolled in A.Y. 2018/19 Current A.Y. 2019/20 |
9 | 2nd Year (2019/20) | First semester |
ITA | FRANCESCO LISI |
| COMMON | SCP4063387 | STATISTICAL METHODS FOR CAUSAL INFERENCE
Details for students enrolled in A.Y. 2018/19 Current A.Y. 2019/20 |
9 | 2nd Year (2019/20) | First semester |
ITA | ADRIANO PAGGIARO |
| COMMON | SCP4063385 | STATISTICAL METHODS FOR MARKETING RESEARCH
Details for students enrolled in A.Y. 2018/19 Current A.Y. 2019/20 |
9 | 2nd Year (2019/20) | First semester |
ITA | FRANCESCA BASSI |
| COMMON | SCP4063394 | STATISTICAL MODELS FOR ECONOMIC DATA
Details for students enrolled in A.Y. 2018/19 Current A.Y. 2019/20 |
9 | 2nd Year (2019/20) | First semester |
ITA | MASSIMILIANO CAPORIN |
| COMMON | SCP4063368 | EPIDEMIOLOGY AND STATISTICAL METHODS FOR MEDICAL RESEARCH (ADVANCED)
Details for students enrolled in A.Y. 2018/19 Current A.Y. 2019/20 |
9 | 2nd Year (2019/20) | Second semester |
ITA | GIOVANNA BOCCUZZO |
| COMMON | SCP4063304 | FINANCIAL DATA ANALYSIS
Details for students enrolled in A.Y. 2018/19 Current A.Y. 2019/20 |
9 | 2nd Year (2019/20) | Second semester |
ITA | FRANCESCO LISI |
| COMMON | SCP4063380 | ISSUES AND METHODS FOR POPULATION AND SOCIETY
Details for students enrolled in A.Y. 2018/19 Current A.Y. 2019/20 |
9 | 2nd Year (2019/20) | Second semester |
ITA | STEFANO MAZZUCO |
| COMMON | SCP4063306 | STATISTICAL METHODS AND MODELS FOR BUSINESS
Details for students enrolled in A.Y. 2018/19 Current A.Y. 2019/20 |
9 | 2nd Year (2019/20) | Second semester |
ITA | MARIANGELA GUIDOLIN |
| COMMON | SCP4063377 | STATISTICS FOR TECHNOLOGY AND INDUSTRY
Details for students enrolled in A.Y. 2018/19 Current A.Y. 2019/20 |
9 | 2nd Year (2019/20) | Second semester |
ITA | GIOVANNA CAPIZZI |
| COMMON | SCP4063364 | STATISTICS: CASE STUDIES
Details for students enrolled in A.Y. 2018/19 Current A.Y. 2019/20 |
9 | 2nd Year (2019/20) | Second semester |
ITA | GUIDO MASAROTTO |
| COMMON | SCP4063246 | THEORY AND METHODS OF INFERENCE
Details for students enrolled in A.Y. 2018/19 Current A.Y. 2019/20 |
9 | 2nd Year (2019/20) | Second semester |
ENG | ALESSANDRA SALVAN |
Internships and traineeships
| Degree course track | Course unit code | Course unit name | Credits | Year | Period | Lang. | Teacher in charge |
|---|---|---|---|---|---|---|---|
| COMMON | SCP4065406 | EDUCATIONAL INTERNSHIP
Details for students enrolled in A.Y. 2018/19 Current A.Y. 2019/20 |
1 | 2nd Year (2019/20) | Second semester |
ITA |
Final examination
| Degree course track | Course unit code | Course unit name | Credits | Year | Period | Lang. | Teacher in charge |
|---|---|---|---|---|---|---|---|
| COMMON | SSN1042952 | FINAL EXAM
Details for students enrolled in A.Y. 2018/19 Current A.Y. 2019/20 |
20 | Annual | ITA |