First cycle
degree courses
Second cycle
degree courses
Single cycle
degree courses
School of Science
STATISTICS FOR TECHNOLOGY AND SCIENCE
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 First cycle degree D.M. 270/2004
Sc2094
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Degree course code SC2094
Activated in 2014/15
Year of degree course structure 2014/15
Class (Ministerial field of study code) L-41 - Statistics
Degree issued Laurea
Branch Padova
Language Italian
Degree course tracks Common track
Related degree courses SC2095 - STATISTICS FOR ECONOMICS AND BUSINESS
Other degree courses within the same class    --

Degree programme regulations Regulations Rector's decree and regulations, issued on 17/06/2016 with RD n. 1559/2016
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 first cycle degree in Statistics for Technology and Science offers an interdisciplinary training in statistics, maths and informatics, with insights into the recent advances in information technologies and modern online data acquisition techniques. The application areas of interest are several and range from technological-experimental areas to medical, biological, health and environmental areas. The course allows the student to develop the necessary skills to deal with, (i) quality control of products and services and evaluation of the capacity of production processes; (II) management informatics and big data statistical analysis; (III) design of algorithms and data structures, as well as programming of computer systems; (IV) in statistical applications for data arising from observational and experimental studies, typical of epidemiological and clinical research.

Occupational opportunities
The professional profile of graduates in Statistics for Technology and Science may be employed in several fields: manufacturing / services / commercial, consulting, pharmaceutical, bio-medical research institutes, professional studios, laboratories, public or private institutions. According to personal interests and attitudes, students have the opportunity to specialize in the main statistical applications of technology, quality, biomedical and healthcare, information technology and data management. With these skills, they can be placed as statisticians in the industrial, medical, biological, environmental and scientific fields. For example, in the area of total quality management, they can be placed as statisticians for quality control and production planning and quality improvement, or in the information technology area, as programmers, able to organize and process information flows. Finally, by specializing in biostatistics, they can be placed in pharmaceutical companies, healthcare facilities, public institutions, and research institutions.

Access modalities
It is possible to access to the Master's course in Statistical Sciences, in accordance with the specific admission notice.

Admission
Admission type Open access with assessment test
number of non-EU students resident abroad 12
        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 24/11/2017, at 07:30
Test Submission of applications Number of
applicants
of which applied as 1st choice
"Scuola di Scienze - prova TOLC-E- Statistica Per Le Tecnologie e Le Scienze-Statistica Per L'economia e L'impresa" expired on 30/09/2017 347 105

Course calendar
Show course schedule 2017/18 Reg.2014 course timetable
Show examination schedule --
Show final examination schedule --

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

Course units available for each Academic Year of the degree course
Please note:
  1. Click on "Details for students enrolled in A.Y. 2017/18" 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.
  2. 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.
    Warning: there could be changes in the next Academic Years.
    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.
  3. 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 SCP4063454 CALCULUS (Ult. numero di matricola dispari)
Details for students enrolled in A.Y. 2017/18
Current A.Y. 2017/18
12 1st Year First
semester
ITA ANNALISA CESARONI
COMMON SCP4063454 CALCULUS (Ult. numero di matricola pari)
Details for students enrolled in A.Y. 2017/18
Current A.Y. 2017/18
12 1st Year First
semester
ITA PAOLA MANNUCCI
COMMON SCP7081517 COMPUTER SYSTEMS 1 (Ult. numero di matricola dispari)
Details for students enrolled in A.Y. 2017/18
Current A.Y. 2017/18
6 1st Year First
semester
ITA MAURO MIGLIARDI
COMMON SCP7081517 COMPUTER SYSTEMS 1 (Ult. numero di matricola pari)
Details for students enrolled in A.Y. 2017/18
Current A.Y. 2017/18
6 1st Year First
semester
ITA MICHELE MORO
COMMON SCP4063430 STATISTICS 1 (Ult. numero di matricola dispari)
Details for students enrolled in A.Y. 2017/18
Current A.Y. 2017/18
6 1st Year First
semester
ITA ANNAMARIA GUOLO
COMMON SCP4063430 STATISTICS 1 (Ult. numero di matricola pari)
Details for students enrolled in A.Y. 2017/18
Current A.Y. 2017/18
6 1st Year First
semester
ITA ALESSANDRA DALLA VALLE
COMMON SCP7081518 DATA STRUCTURES AND PROGRAMMING (Ult. numero di matricola dispari)
Details for students enrolled in A.Y. 2017/18
Current A.Y. 2017/18
6 1st Year Second
semester
ITA NICOLA ZINGIRIAN
COMMON SCP7081518 DATA STRUCTURES AND PROGRAMMING (Ult. numero di matricola pari)
Details for students enrolled in A.Y. 2017/18
Current A.Y. 2017/18
6 1st Year Second
semester
ITA
COMMON SCP4063451 DATABASES 1 (Ult. numero di matricola dispari)
Details for students enrolled in A.Y. 2017/18
Current A.Y. 2017/18
6 1st Year Second
semester
ITA
COMMON SCP4063451 DATABASES 1 (Ult. numero di matricola pari)
Details for students enrolled in A.Y. 2017/18
Current A.Y. 2017/18
6 1st Year Second
semester
ITA MASSIMO MELUCCI
COMMON SCP4063485 INTRODUCTION TO PROBABILITY (Ult. numero di matricola dispari)
Details for students enrolled in A.Y. 2017/18
Current A.Y. 2017/18
9 1st Year Second
semester
ITA SILVANO FIORIN
COMMON SCP4063485 INTRODUCTION TO PROBABILITY (Ult. numero di matricola pari)
Details for students enrolled in A.Y. 2017/18
Current A.Y. 2017/18
9 1st Year Second
semester
ITA DAVID BARBATO
COMMON SCP4063450 LINEAR ALGEBRA (Ult. numero di matricola dispari)
Details for students enrolled in A.Y. 2017/18
Current A.Y. 2017/18
6 1st Year Second
semester
ITA GIULIO PERUGINELLI
COMMON SCP4063450 LINEAR ALGEBRA (Ult. numero di matricola pari)
Details for students enrolled in A.Y. 2017/18
Current A.Y. 2017/18
6 1st Year Second
semester
ITA GEMMA PARMEGGIANI
COMMON SCP4063591 DEMOGRAPHY
--
--                                
9 2nd Year First
semester
ITA
COMMON SCP4063594 MATHEMATICAL ANALYSIS
--
Current A.Y. 2017/18
9 2nd Year First
semester
ITA
COMMON SCP4063834 OPTIMIZATION: MODELS AND METHODS
--
Current A.Y. 2017/18
9 2nd Year First
semester
ITA
COMMON SCP4063234 QUALITY ENGINEERING
--
Current A.Y. 2017/18
9 2nd Year First
semester
ITA
COMMON SCP4063596 SOCIAL RESEARCH METHODS
--
--                                
9 2nd Year First
semester
ITA
COMMON SCP4063587 STATISTICS 2 (Ult. numero di matricola dispari)
--
Current A.Y. 2017/18
12 2nd Year First
semester
ITA
COMMON SCP4063587 STATISTICS 2 (Ult. numero di matricola pari)
--
Current A.Y. 2017/18
12 2nd Year First
semester
ITA
COMMON SCP4063598 COMPUTATIONAL STATISTICS
--
Current A.Y. 2017/18
9 2nd Year Second
semester
ITA
COMMON SCP4063365 MULTIVARIATE DATA ANALYSIS (Ult. numero di matricola dispari)
--
Current A.Y. 2017/18
6 2nd Year Second
semester
ITA
COMMON SCP4063365 MULTIVARIATE DATA ANALYSIS (Ult. numero di matricola pari)
--
Current A.Y. 2017/18
6 2nd Year Second
semester
ITA
COMMON SCP4063582 SAMPLE SURVEYS (THEORY AND DESIGN) (Ult. numero di matricola dispari)
--
Current A.Y. 2017/18
9 2nd Year Second
semester
ITA
COMMON SCP4063582 SAMPLE SURVEYS (THEORY AND DESIGN) (Ult. numero di matricola pari)
--
Current A.Y. 2017/18
9 2nd Year Second
semester
ITA
COMMON SCP4063661 SOCIOLOGY
--
--                                
9 2nd Year Second
semester
ITA
COMMON SCP4063241 STATISTICAL MODELS 1 (Ult. numero di matricola dispari)
--
Current A.Y. 2017/18
9 2nd Year Second
semester
ITA
COMMON SCP4063241 STATISTICAL MODELS 1 (Ult. numero di matricola pari)
--
Current A.Y. 2017/18
9 2nd Year Second
semester
ITA
COMMON SCP4063831 APPLIED STATISTICAL MODELS
--
Current A.Y. 2017/18
9 3rd Year First
semester
ITA
COMMON SCP4063828 COMPUTER SYSTEMS 2
--
Current A.Y. 2017/18
9 3rd Year First
semester
ITA
COMMON SCP4063748 DURATION DATA ANALYSIS
--
--                                
9 3rd Year First
semester
ITA
COMMON SCP4063319 PRINCIPLES OF BIOLOGY
--
Current A.Y. 2017/18
9 3rd Year First
semester
ITA
COMMON SCP4063806 STATISTICAL METHODS FOR EPIDEMIOLOGY
--
Current A.Y. 2017/18
9 3rd Year First
semester
ITA
COMMON SCP4063744 STATISTICAL MODELS 2
--
Current A.Y. 2017/18
9 3rd Year First
semester
ITA
COMMON SCP4063756 STATISTICS AND SOCIAL PLANNING
--
--                                
9 3rd Year First
semester
ITA
COMMON SCP4063789 TIME SERIES (Ult. numero di matricola dispari)
--
Current A.Y. 2017/18
9 3rd Year First
semester
ITA
COMMON SCP4063789 TIME SERIES (Ult. numero di matricola pari)
--
Current A.Y. 2017/18
9 3rd Year First
semester
ITA
COMMON SCP4063752 ANALYSIS AND PLANNING OF EXPERIMENTS
--
Current A.Y. 2017/18
9 3rd Year Second
semester
ITA
COMMON SCP4063804 BIODEMOGRAPHY
--
Current A.Y. 2017/18
9 3rd Year Second
semester
ITA
COMMON SCP4063825 DATABASES 2
--
Current A.Y. 2017/18
9 3rd Year Second
semester
ITA
COMMON SCP4063829 MEDICAL STATISTICS
--
Current A.Y. 2017/18
9 3rd Year Second
semester
ITA
COMMON SCP4063754 STATISTICAL METHODS FOR BIG DATA
--
Current A.Y. 2017/18
9 3rd Year Second
semester
ITA
COMMON SCP4063665 STATISTICAL QUALITY CONTROL
--
Current A.Y. 2017/18
9 3rd Year Second
semester
ITA
COMMON SCP4063772 TOPICS IN ECONOMIC STATISTICS
--
--                                
9 3rd Year Second
semester
ITA

Languages
Degree course track Course unit code Course unit name Credits Year Period Lang. Teacher in charge
COMMON SC14105165 ENGLISH LANGUAGE
Details for students enrolled in A.Y. 2017/18
Current A.Y. 2017/18
3 1st Year Annual ITA GIULIANA CORTESE

Internships and traineeships
Degree course track Course unit code Course unit name Credits Year Period Lang. Teacher in charge
COMMON SCP4065430 EDUCATIONAL INTERNSHIP
--
Current A.Y. 2017/18
6 3rd Year Second
semester
ITA
COMMON SCL1000694 STAGE
--
Current A.Y. 2017/18
6 3rd Year Second
semester
ITA

Final examination
Degree course track Course unit code Course unit name Credits Year Period Lang. Teacher in charge
COMMON SC06106948 FINAL EXAM
Details for students enrolled in A.Y. 2017/18
Current A.Y. 2017/18
3   Annual ITA