Laurea Magistrale (Second cycle degree/Two year Master - 120 ECTS) in Statistical Sciences

Degree programme

Programme type Laurea Magistrale (Second cycle degree/Two year Master - 120 ECTS)
Academic Year 2018/2019
General policies and regulations D.M. 270
Code 9222
Degree Programme Class LM-82 - Statistics
Years in which the programme is being held

1° year, 2° year

Teaching mode Traditional lecture (classroom-taught)
Admission typology Open access with assessment of personal competencies
Curricula

- Curriculum in Data Science

- Curriculum in Life Statistics

- Curriculum in Official Statistics

Place of teaching Bologna
Type International Degree Programme
Degree Programme Director Cinzia Viroli
Teachers Teachers
Language English

Admission requirements and assessment of previously acquired knowledge/competences

Admission to the 2nd cycledegree programme in Statistical Sciences is subject to the possession of athree-year university degree or other suitable qualification obtained abroad.

Moreover, candidates must meet thecurricular requirements and pass a test to assess their personal competencesand skills.

CURRICULAR REQUIREMENTS

The following curricular requirements mustbe met:

- A first cycle degree in one of thefollowing classes:

- ex Italian Ministerial Decree no. 270:L-41 - Statistics

- ex. Italian Ministerial Decree no.509/99: class 37 - Statistical Sciences

- Previous four-year degree programmesystem:

Statistics, Demographic and Social Sciences

Statistical and Economic Sciences

Statistical and Actuarial Sciences

- Three-year university degree:

Diploma in statistics with similar contentsto the degrees in class L 41/37

- An equivalent qualification obtainedabroad

- Or possession of a first cycle degree ina different class having acquired a sufficient number of credits (ECTS) in thesubject areas listed in the Degree Programme Regulations.

ASSESSMENT OF PERSONAL COMPETENCES ANDSKILLS

Admission to the degree programme issubject to the passing of a test to assess the candidates' personalcompetencies and skills, which will follow the methods laid down in the“Admission Methods”.

The required competences include:

- MATHEMATICS: the fundamentals ofinstitutions of mathematical analysis, matrix algebra

- PROBABILITY: fundamental axioms andtheorems of probability

- STATISTICS: fundamental concepts ofdescriptive statistics, inference and multivariate analysis

Candidates must also possess appropriateEnglish language skills to (at least) level B2.

More details can be found in the DegreeProgramme Regulations.

Programme profile

The objective of the Second cycle degreeprogrammes in Statistical Sciences is to train experts specialised in themanagement, analysis and interpretation of data, in order to produceinformation that supports the decision-making processes of public and privateentities.

The Degree Programme represents a naturalcontinuation of first-cycle degrees in statistical disciplines or amethodological path for graduates holding other first-cycle degrees with anadequate theoretical knowledge of mathematics and statistics (especiallyMathematics, Computer Science, Economics).

The Degree Programme Catalogue is organisedto enable graduates to obtain:

- sound knowledge of the statisticalmethodology for collecting, processing and modelling data, including big data;

- adequate knowledge of the statistical andIT techniques used to support the strategic and operational decisions of firms;

- sound skills in the multi-variatestatistical inference and analysis methods used in biostatistics by researchinstitutions and public bodies responsible for the production of officialstatistics;

- good skills in the analysis,interpretation and communication of results.

The Degree Programme comprises curriculathat differ principally by area of specialisation and by the professional rolesfor which training is given. The different paths provide the methodological andIT tools for training experts able to formalise, analyse and solve complexproblems under conditions of uncertainty; the acquisition of soundmethodological skills and the specific social and bio-demographic knowledgeneeded to study, monitor and predict demographic and health-related phenomenarelating to populations and analyse the problems associated with the managementand production of official statistics, in order to work for the institutionsresponsible for official statistics at national and international level.

The curricula all have common coreactivities focused on the quantitative preparation of graduates. The first yearprincipally focuses on the statistical methodology relating to probability, thetheory of statistical inference and statistical models, and the IT skillsneeded for the collection and processing of data. The second year examines thetechniques of multi-variate analysis and strategies for the analysis ofqualitative data. The programme is supplemented by courses on samplingtechniques, non-parametric inference, demographics, biostatistics and methodsfor the production and analysis of official statistics that are tailored to thechosen curriculum.

The learning objectives are reached via theadvanced organisation of teaching activities, combining theoretical analysiswith practical applications of the concepts learned in laboratory sessions,which are based on the use of statistical and IT software in order to develop,study and analyse specific cases, both real and simulated.

The learning process may be completed by acurricular internship that enables the knowledge acquired to be put intopractice.


Curricula

The 2nd cycle Degree programme is divided into three courses:

- Data Science

- Life Statistics

- Official Statistics

Access to further study

It gives access to third cycle studies (Dottorato di ricerca/Scuole di specializzazione) and master courses of second degree.

Career opportunities

Statisticalexpert in the management and analysis of information


function in a work environment:

The statistical-IT preparation provided forthe management, analysis and interpretation of information enables the persontrained to propose objective tools of use in the decision-making processes ofgoverning bodies and firms. In particular, this person:

- has knowledge of the methodological toolsfor the analysis of data, including big data;

- supports the decisions of technical andstrategic management via the management of IT systems and the analysis ofstatistical data;

- produces statistical indicators and makesforecasts;

- designs and carries out complexinvestigations;

- creates and manages complex databases.

skills associated with the function:

Performance of the above functions requiresspecific specialist knowledge, skills and abilities in the areas of IT,statistics and mathematics. Specifically, the person to be trained must be ableto:

- define the methodological basis for theanalysis;

- use software for the statisticalprocessing and analysis of data;

- interpret and communicate the results.

career opportunities:

Public administrations, research bodies andconsultancies, research centres within medium-size and large public and privatefirms, research centres in international organisations.

Biostatistics

function in a work environment:

The statistical-IT preparation provided inthe healthcare-epidemiology field enables the person trained to organisecomplex experimental investigations and extrapolate information from them thatis useful in practice. In particular, this person:

- makes planned observations to assess theeffect of social and health-related campaigns and action, and the quality ofthe services provided to users;

- organises and manages complex databases;

- organises experimental designs that usecomplex sampling techniques;

- produces statistical indicators.

skills associated with the function:

Performance of the above functions requiresspecific specialist knowledge, skills and abilities in the statistical, socialand healthcare-epidemiology fields. Specifically, the person to be trained mustbe able to:

- identify the principal flows for theproduction of information about the topics under investigation;

- define the methodological basis for theanalysis;

- assess the quality of the data collected;

- analyse and interpret the results.

career opportunities:

Local health authorities, Epidemiologicalobservatories, Pharmaceutical firms.

Statistical-socialexpert in population problems

function in a work environment:

The statistical-IT preparation provided inthe socio-demographic field enables the person trained to define interpretativeand forecasting models for the phenomena under investigation. In particular,this person:

- creates and manages databases for thepopulations in order to study and monitor the demographic phenomena from both astatic and a dynamic standpoint;

- builds forecasting models forpopulations;

- produces and estimates demographicindicators in the absence of complete data (populations of developingcountries);

- makes planned observations to assess theeffect of social campaigns and action directed towards users.

skills associated with the function:

Performance of the above functions requiresspecific specialist knowledge, skills and abilities in the statistical, socialand demographic fields. Specifically, the person to be trained must be able to:

- identify the principal flows for theproduction of information about the topics under investigation;

- prepare questionnaires and deviseforecasting scenarios;

- use software for the statisticalprocessing and analysis of data;

- interpret and communicate the results;

career opportunities:

Public administrations, Research offices ofnational and international research bodies.

Expertin Official Statistics

function in a work environment:

Knowledge of the problems associated withthe management and production of official statistics and the statistical-ITpreparation provided enables the graduate to work for the institutions responsiblefor official statistics at national and international level. In particular,this person:

- designs and carries out complexinvestigations;

- has knowledge of the methodological toolsfor the analysis of data, including big data;

- produces statistical indicators and knowshow to make forecasts;

- creates and manages databases forstudying and monitoring social, economic and demographic phenomena from both astatic and a dynamic standpoint.

skills associated with the function:

Performance of the above functions requiresspecific specialist knowledge, skills and abilities in the statistical andsocial fields. Specifically, the person to be trained must be able to:

- define the methodological basis for theinvestigation;

- use software for the statisticalprocessing and analysis of data;

- interpret and communicate the results.

career opportunities:

Institutions responsible for officialstatistics at national and international level