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. 2017/18
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
Ss1736
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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
Related degree courses --
Other degree courses within the same class    --

Degree programme regulations Regulations Rector's decree and regulations, issued on 29/09/2014 with RD n. 2724/2014
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 management and statistical analysis 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
AlmaLaurea survey on undergraduate students three years after degree achievement of 2011, reports that the unemployment rate of undergraduates in Statistics lower than average (2.2% vs. 8.8%), an employment rate higher than average (90% vs 86%), a proportion of those with a permanent job higher than average (70% vs 53%) and a monthly salary higher than average (1519 euros vs 1226).
Undergraduates are employed in several fields of production system, in public administration and research institutes. Other surveys show that many statisticians have fast advances in career as, since the beginning, their work is focused on data management and analysis.

Admission
Admission type Open access with admission requirements
number of non-EU students resident abroad 20
        of which Chinese ("Marco Polo" Programme) 2
Minimum number of pre-enrollments on which the activation of the Course of Study depends   --
Enrollment as a part time student yes
Fees Fees for A.Y. 2017/18
Admission notice    Admission notice for A.Y. 2017/18

Admission tests and pre-selections
Updated on 21/07/2017, at 07:30
Test Submission of applications Number of
applicants
of which applied as 1st choice
"Laurea Magistrale in Scienze Statistiche" dal 14/06/2017 al 28/09/2017 25 25

Course calendar
Show course schedule 2016/17 Reg.2014 course timetable
Show examination schedule 2016/17 Reg.2014 examination schedule
Show final examination schedule 2016/17 Reg.2014 final examination schedule

Links
Website of the academic structure http://scienzestatistiche.scienze.unipd.it/2017/laurea_magistrale
Ministerial websites Universitaly
Academic reference structures School of Science
Department of Statistical Sciences
Chair of the Degree Course Teachers' Council BRUNO SCARPA

Course units available for each Academic Year of the degree course
Please note:
Here you can find the list of the course units provided for in your study plan, in order of year.
Click on "A.Y. 2017/18 details" to see the details concerning the course unit taught in A.Y. 2017/18.
Warning: there could be changes in the next Academic Years.
Is this link not available? It means that the course unit doesn't exist in A.Y. 2017/18: it will be taught for the first time in the next Academic Years.
Degree course track Course unit code Course unit name Credits Year Period Lang. Teacher in charge
COMMON SCP4063078 COMPUTATIONAL FINANCE
A.Y. 2017/18 details
9 1st Year First
semester
ENG MASSIMILIANO CAPORIN
COMMON SCP4062891 DATA MINING
A.Y. 2017/18 details
9 1st Year Second
semester
ITA BRUNO SCARPA
COMMON SCP7081820 INFORMATIC METHODS FOR STATISTICS AND DATA SCIENCE
A.Y. 2017/18 details
9 1st Year Second
semester
ITA MASSIMO MELUCCI
COMMON SS02107624 INFORMATION SYSTEMS
A.Y. 2017/18 details
6 1st Year First
semester
ITA MARISTELLA AGOSTI
COMMON SC01122905 MACHINE LEARNING
A.Y. 2017/18 details
6 1st Year First
semester
ITA FABIO AIOLLI
COMMON SCP4063085 MARKETING (ADVANCED)
A.Y. 2017/18 details
9 1st Year First
semester
ITA ROBERTO GRANDINETTI
COMMON SCP4063319 PRINCIPLES OF BIOLOGY
A.Y. 2017/18 details
9 1st Year First
semester
ITA LIBERO VITIELLO
COMMON SCP4062979 PROBABILITY THEORY
A.Y. 2017/18 details
9 1st Year First
semester
ITA PAOLO DAI PRA
COMMON SCP6076457 QUANTITATIVE MARKETING
A.Y. 2017/18 details
9 1st Year First
semester
ITA
COMMON SCP7081819 SOCIAL MEDIA
A.Y. 2017/18 details
9 1st Year Second
semester
ITA
COMMON SCP4063744 STATISTICAL MODELS 2
A.Y. 2017/18 details
9 1st Year First
semester
ITA ALESSANDRA SALVAN
COMMON SCP4063071 STATISTICAL MODELS FOR SOCIAL DATA
A.Y. 2017/18 details
9 1st Year First
semester
ITA FAUSTA ONGARO
COMMON SCP4063084 STATISTICS (ADVANCED)
A.Y. 2017/18 details
9 1st Year Second
semester
ITA ALESSANDRA ROSALBA BRAZZALE
COMMON SCP4063217 STOCHASTIC OPTIMIZATION
A.Y. 2017/18 details
9 1st Year Second
semester
ITA GIOVANNI ANDREATTA
COMMON SCP4063083 STOCHASTIC PROCESSES
A.Y. 2017/18 details
9 1st Year First
semester
ITA MARCO FERRANTE
COMMON SCP7081744 THE TARGETS OF CLINICAL RESEARCH IN ONCOLOGY
A.Y. 2017/18 details
9 1st Year Second
semester
ITA PIERFRANCO CONTE
COMMON SCP4063308 ADVANCED MATHEMATICS FOR STATISTICS 9 2nd Year First
semester
ENG
COMMON SCP4063318 COMPUTATIONAL BIOSTATISTICS AND BIOINFORMATICS
A.Y. 2017/18 details
9 2nd Year First
semester
ITA
COMMON SCP4063389 COMPUTATIONAL STATISTICS (ADVANCED)
A.Y. 2017/18 details
9 2nd Year First
semester
ITA
COMMON SCP4063259 DATA ANALYSIS 9 2nd Year First
semester
ENG
COMMON SCP4063368 EPIDEMIOLOGY AND STATISTICAL METHODS FOR MEDICAL RESEARCH (ADVANCED)
A.Y. 2017/18 details
9 2nd Year Second
semester
ITA
COMMON SCP4063304 FINANCIAL DATA ANALYSIS
A.Y. 2017/18 details
9 2nd Year Second
semester
ITA
COMMON SCP4063380 ISSUES AND METHODS FOR POPULATION AND SOCIETY
A.Y. 2017/18 details
9 2nd Year Second
semester
ITA
COMMON SCP4063360 POPULATION THEORIES AND MODELS
A.Y. 2017/18 details
9 2nd Year First
semester
ITA
COMMON SCP4063306 STATISTICAL METHODS AND MODELS FOR BUSINESS
A.Y. 2017/18 details
9 2nd Year Second
semester
ITA
COMMON SCP4063351 STATISTICAL METHODS AND MODELS FOR FINANCE
A.Y. 2017/18 details
9 2nd Year First
semester
ITA
COMMON SCP4063387 STATISTICAL METHODS FOR CAUSAL INFERENCE
A.Y. 2017/18 details
9 2nd Year First
semester
ITA
COMMON SCP4063385 STATISTICAL METHODS FOR MARKETING RESEARCH
A.Y. 2017/18 details
9 2nd Year First
semester
ITA
COMMON SCP4063394 STATISTICAL MODELS FOR ECONOMIC DATA
A.Y. 2017/18 details
9 2nd Year First
semester
ITA
COMMON SCP4063245 STATISTICAL MODELS
A.Y. 2017/18 details
9 2nd Year Second
semester
ENG
COMMON SCP4063377 STATISTICS FOR TECHNOLOGY AND INDUSTRY
A.Y. 2017/18 details
9 2nd Year Second
semester
ITA
COMMON SCP4063364 STATISTICS: CASE STUDIES
A.Y. 2017/18 details
9 2nd Year Second
semester
ITA
COMMON SCP4063246 THEORY AND METHODS OF INFERENCE
A.Y. 2017/18 details
9 2nd Year Second
semester
ENG

Internships and traineeships
Degree course track Course unit code Course unit name Credits Year Period Lang. Teacher in charge
COMMON SCP4065406 EDUCATIONAL INTERNSHIP
A.Y. 2017/18 details
1 2nd Year 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
A.Y. 2017/18 details
20   Annual ITA