HUMANITIES AND SOCIAL SCIENCES
Urban Antropology
Milano
Professional training
Italian
104 hours
blended
Vision
Il Corso di Perfezionamento in Antropologia Urbana si rivolge a chiunque abbia interessi nell’approfondire l’analisi sociale delle città con gli strumenti concettuali, epistemologici e metodologici dell’antropologia, sia da un punto di vista teorico, sia etnografico. L’antropologia infatti può ricoprire un ruolo essenziale nel promuovere una comprensione “profonda” dei fenomeni urbani e dell’urbanità, a partire dalla consapevolezza che sempre più spesso essa non si limita a sviluppare ricerche in contesti urbani, ma utilizza piuttosto l’urbano come elemento principale della sua analisi.
La complessità di spazi fisici e sociali richiede un approccio multidisciplinare che, per quanto radicato nella disciplina antropologica e nella pratica etnografica, ne travalica i confini disciplinari. Studentesse e studenti avranno la possibilità di approfondire questioni legate all’epistemologia e alla metodologia della ricerca etnografica in contesti urbani, lo spatial turn e i contributi dell'antropologia e di altre scienze sociali all'analisi di concetti come rigenerazione, gentrificazione, giustizia spaziale, partecipazione, innovazione sociale, progettazione territoriale, sviluppo urbano. Attraverso la presentazione di casi etnografici relativi al Nord e al Sud Globale, durante le lezioni, i seminari e i laboratori si discuteranno le politiche, le pratiche e gli immaginari che forgiano i tessuti urbani contemporanei.
Mission
Obiettivi generali del Corso saranno:
- Introdurre ai campi delle discipline demo-etno antropologiche
- Definire il campo dell'antropologia urbana, comprenderne l'approccio, le metodologie, i concetti-chiave e le ricadute applicative;
- Integrare conoscenze relative al campo degli studi urbani e ai suoi linguaggi specifici con ricerche antropologiche applicate ai territori;
- Promuovere e valorizzare conoscenze e competenze negli ambiti del lavoro territoriale e della progettazione sociale in cui è possibile applicare lo sguardo antropologico e la metodologia etnografica;
- Riflettere sulle questioni urbane e sull’urbano riferendosi ai contesti italiani e non, analizzandone le dinamiche con un approccio storico, sociale e culturale;
- Elaborare conoscenze in ottica comparativa, riflettendo su alcune dinamiche globali che caratterizzano in modo differenziato contesti urbani specifici;
- Promuovere il potenziale applicativo dell'antropologia nell'ambito delle politiche urbane.
Structure
Teaching Organization
104 hours of Lezione
Exams and Attendance
1
FINAL TEST
For a total of 13 CFU
REQUIRED
75 %
OF HOURS OF ATTENDANCE
Courses
- Introdurre al campo dell’antropologia culturale e sociale e ai suoi metodi di ricerca
- Avvicinare gli studenti alla prospettiva antropologica
16 HOURS
2 CFU
- Definire il campo specifico dell'antropologia urbana, comprenderne l'approccio, le metodologie, i concetti chiave e le ricadute applicative
- Integrare conoscenze relative al campo degli studi urbani e ai suoi linguaggi specifici con ricerche antropologiche applicate ai territori
24 HOURS
3 CFU
- Comprendere il concetto di gentrificazione e i suoi effetti sociali, economici e simbolici sui territori urbani
- Analizzare le dinamiche espulsive legate al processo di gentrificazione attraverso un approccio storico, relazionale, sociale e culturale
8 HOURS
1 CFU
- Sviluppare una comprensione critica dei processi di turistificazione in rapporto alle trasformazioni urbane
- Indagare il turismo come driver di produzione sociale della differenza urbana
8 HOURS
1 CFU
- Riconoscere l’abitare come pratica sociale e politica, che riflette modelli di convivenza e conflittualità locali
- Analizzare la vita urbana a partire dall’eterogeneità delle forme dell’abitare
8 HOURS
1 CFU
- Riflettere sul legame essere umano-ambiente e umani-non umani nell’ambito di territori urbani in trasformazione
8 HOURS
1 CFU
- Promuovere e valorizzare conoscenze e competenze negli ambiti del lavoro territoriale e della progettazione sociale in cui è possibile applicare lo sguardo antropologico e la metodologia etnografica
- Promuovere il potenziale critico e applicativo dell'antropologia nell'ambito della rigenerazione territoriale e delle politiche urbane
- Riflettere sui diversi modelli di sviluppo urbano
16 HOURS
2 CFU
- Comprendere il significato dei processi di marginalizzazione in antropologia, il loro potenziale euristico e trasformativo
- Elaborare conoscenze in ottica comparativa, riflettendo su alcune dinamiche globali che caratterizzano in modo differenziato contesti urbani specifici
16 HOURS
2 CFU
Comitato scientifico
Direttore
Componenti
Giacomo
Pozzi
Pozzi
Assistant professor at IULM - Milano
What skills do you gain?
Introduzione all’antropologia culturale e sociale
Storia e metodi dell’antropologia urbana e dialogo
Gentrificazione e forme di espulsione
Turistificazione
Forme dell’abitare
Ecologie urbane
Politiche e modelli di sviluppo urbano
Marginalizzazione e giustizia spaziale
Urban Antropology
Who is it aimed at ?
RECENT GRADUATES
nell’ambito delle scienze umane e degli studi urbani
nell’ambito delle scienze umane e degli studi urbani
PROFESSIONALS
impegnati nel campo della progettazione territoriale (architetti, urbanisti, progettisti sociali), nell’implementazione di progetti sociali in ambito urbano (educatori, operatori sociali e del terzo settore, membri della pubblica amministrazione) e nella governance delle città, a diversi livelli (lavoratori delle istituzioni, funzionari pubblici, policymaker).
impegnati nel campo della progettazione territoriale (architetti, urbanisti, progettisti sociali), nell’implementazione di progetti sociali in ambito urbano (educatori, operatori sociali e del terzo settore, membri della pubblica amministrazione) e nella governance delle città, a diversi livelli (lavoratori delle istituzioni, funzionari pubblici, policymaker).
Il Corso si rivolge a studenti e studentesse e laureati nell’ambito delle scienze umane e degli studi urbani, nonché a professionisti già impegnati nel campo della progettazione territoriale (architetti, urbanisti, progettisti sociali), nell’implementazione di progetti sociali in ambito urbano (educatori, operatori sociali e del terzo settore, membri della pubblica amministrazione) e nella governance delle città, a diversi livelli (lavoratori delle istituzioni, funzionari pubblici, policymaker).
ECONOMIC, STATISTICS AND LAW
Epidemiological and bio-statistical methods for clinical research - MEBRIC
Milano
Master 2 Level
Italian
18 months
e-learning
Vision
The growing participation of public and private healthcare facilities in research activities requires the training of professionals who are experts in the design, planning, and conduct of epidemiological studies. This demand from the Italian and global labor market has been growing steadily for several decades.
The Master's program aims to train these professionals by combining theoretical knowledge and practical experience in the interdisciplinary field of the most current disciplines that characterize clinical research, such as pharmacoepidemiology. In particular, the Italian Medicines Agency emphasizes how a local healthcare system can greatly improve its ordinary care operations through the management and sharing of large amounts of data on individuals' health status.
Mission
The training program aims to explore classic and advanced topics in epidemiological and statistical methodology for clinical research aimed at identifying risk factors and causal factors for both infectious and chronic degenerative diseases, controlling and monitoring the health of the population, analyzing needs, supply, and demand, analyzing the implementation of social and health strategies, and and the process of continuous quality improvement.
At the end of the training course, participants in the Master's program will have developed the ability to produce and interpret the scientific, experimental, or observational evidence necessary for evaluating the effectiveness, efficiency, and quality of healthcare interventions and services.
Since many of the potential users of this training activity may already be working, the Master's program will be delivered entirely remotely, using the “virtual classroom” technological model.
Structure
Some lessons are taught in English only. The Master's program will be delivered entirely online, using the “virtual classroom” technology model.
Teaching Organization
350 hours of Lectures
625 hours of Stage/Project Work
Exams and Attendance
9
EXAMS
+
1
FINAL TEST
For a total of 69 CFU
REQUIRED
75 %
OF HOURS OF ATTENDANCE
Courses
- Terminology and basic principles of observation and experimentation
- History of epidemiology
- Concept of causality
- Main measures of frequency, association, and impact
- Introduction concepts of systematic error and confounding.
8 HOURS
1 CFU
- Introduction to probability concepts
- Main indicators of location and variability
- Random variables and sample distributions
- Point and interval estimators
- Hypothesis testing
- Main statistical tests.
32 HOURS
4 CFU
- Ecological studies, cross-sectional studies (surveys), and questionnaire design
- Cohort design
- Case-control design
- Ambidextrous designs
- Case-only designs
- In-depth analysis of the concepts of bias and confounding.
40 HOURS
5 CFU
- I disegni entro pazienti
- I disegni tra pazienti: completamente randomizzato, stratificato, fattorialeI disegni adattivi
- Tecniche di randomizzazione
- Organizzazione e conduzione di un trial clinico.
24 HOURS
3 CFU
- Guidelines
- Bibliographic research
- Systematic review
- Meta-analysis of experimental studies
- Fixed and random effects models
- Meta-analysis of observational studies
- Stratified analysis
- Publication bias
- Influence analysis.
24 HOURS
3 CFU
- Introduction to the generalized linear model
- The logistic and log-binomial regression models
- The Poisson regression model
- The Cox proportional hazards regression model.
32 HOURS
4 CFU
- The power curves.
24 HOURS
3 CFU
- Drafting of a scientific protocol/article
- Drafting of a funding proposal
- Risk communication.
16 HOURS
2 CFU
- Pharmacoepidemiology
- Genetic epidemiology
- Environmental epidemiology
- Epidemiology for the National Health Service
- Burden of disease
- Pharmacoeconomics
- Cancer epidemiology
- Epidemiology of neurological diseases
- Nutritional epidemiology
- Epidemiology of maternal and child diseases
- Missing data
- Introduction to causal inference
- Multiple testing
- Competing risks
- Longitudinal data
- Pre-post study analysis
- Exploratory analysis
- Data visualization
- Planning and critical reading of an observational study
128 HOURS
16 CFU
- Data management in clinical trials
- The ethics committee
- Questionnaires in clinical research
- Palliative care
- Scientific communication for a diverse audience.
22 HOURS
0 CFU
Scientific Committee
Director
Members
Elisabetta
Pupillo
Pupillo
Istituto di Richerche Farmacologiche "Mario Negri"
What skills do you gain?
Introduction to Epidemiology
Biostatistical Methods I
Observational studies
Experimental studies
Meta-analyses
Biostatistical Methods II
The sample size
Scientific communication
Epidemiological and bio-statistical methods for clinical research - MEBRIC
Who is it aimed at ?
RECENT GRADUATES
in possession of a master's degree, specialist degree, or degree under the old system.
in possession of a master's degree, specialist degree, or degree under the old system.
PROFESSIONALS
CRO (Contract Research Organizations) staff; healthcare system personnel working in clinical research (doctors, pharmacists, veterinarians, healthcare managers, nursing coordinators, administrative managers); researchers from the pharmaceutical industry and/or public and private research institutions.
CRO (Contract Research Organizations) staff; healthcare system personnel working in clinical research (doctors, pharmacists, veterinarians, healthcare managers, nursing coordinators, administrative managers); researchers from the pharmaceutical industry and/or public and private research institutions.
The master's program is aimed at both professionals and recent graduates.
Professional opportunities
Clinical Research Organization
Industrie Farmaceutiche
Research Centers
Research Centers, I.R.C.C.S., C.N.R., and University Laboratories
Biomedical research institutes
Regional Epidemiological Observatories
Regional Epidemiological Observatories and Disease Registries
GIUSEPPE CITERIO
Update in NeuroIntensive Care
Vedano al Lambro
Executive Course
English
5 days
In presence
If you are looking for a Master that will prepare you to lead digital and sustainable innovation within organisations, do not miss the Open Day of Master MADIM – Management and Entrepreneurship: Driving Digital and Sustainable Innovation, scheduled for Tuesday, 18 November 2025 at 14:00.
Autore:
admin
MEDICAL AND HEALTH
Methods and Data Analysis in Biomedical Research - MEDAL
Monza
Master 2 Level
English
12 months
blended
Vision
The Master in MEthods and DAta anaLysis in Biomedical research (MEDAL) is a unique study program that combines expertise in innovative study design with quantitative methods for data analysis in the field of Biomedical Research.
The training program of the Master aims at giving solid bases on the principles of study design and of appropriate methodologies for analysing data in preclinical, translational and clinical research in the context of precision medicine and clinical epidemiology.
The course will introduce concepts related to statistical methods and bioinformatics in a multidisciplinary approach that connects statistical models and exploratory methods typical of artificial intelligence.
As the field of health care continues its move toward precision medicine, new study designs, infrastructure and resources are needed to advance the effective use of biomedical data and information to improve human health. The master has a multidisciplinary approach combining statistical modelling, machine learning techniques, artificial intelligence, and bioinformatics tools.
The program offers an international classroom – a mix of students with diverse backgrounds, some beginning their career, others already having gained experience in the biomedical research.
Mission
With the fast development of new technologies, biomedical research has turned into a digitised and data-intensive science. To meet this, we need to develop and train the next generation of medical statisticians and researchers with quantitative skills who can design and implement research in the field of health science.
The need for advanced skills in data science continues to be high in both the public and private sectors, particularly in contexts that emphasise research in public health, clinical medicine, life sciences, biomedicine and biotechnology.
Training Objectives:
- To gain experience in the analysis and modelling of data from multiple sources in their application to biomedical research studies.
- To develop precision medicine research studies, including study design and study protocol development, target population, sample size definition, data analysis plan, data collection methods, data management and quality control approaches.
- Learn to implement classical statistical techniques, Bayesian and modern computational methods, and use scientific thinking in the interpretation of results.
- Know how to manage both classical studies (clinical trials) and clinical epidemiology and real-world studies also by integrating clinical big data or molecular biology and genetics in translational research.
- Collaborate and communicate effectively with researchers in related disciplines by developing the ability to work in multidisciplinary teams.
Structure
Teaching Organization
280 hours of Lectures
400 hours of Stage/Project Work
Exams and Attendance
9
EXAMS
+
1
FINAL TEST
For a total of 60 CFU
REQUIRED
75 %
OF HOURS OF ATTENDANCE
Courses
- Welcome and introduction
- Taxonomy of the studies
- Descriptive statistics
- Introduction to R
- Probability, sensitivity, specificity and ROC curve
- Statistical Distribution Functions; Inference: hypothesis testing & confidence interval
- Variable transformation
32 HOURS
4 CFU
- Analysis of Variance (ANOVA)
- Principles of regression and models for continuous data
- Effect measures with binary endpoints
- Regression models for binary response
- Variable selection
- Prediction models
- Bayesian Analysis
- Missing data
32 HOURS
4 CFU
- R software
- Multiple testing
- Survival Analysis
40 HOURS
5 CFU
- Design of RCTs; Early phase study design; Biomarker based designs; Sample Size Calculation; Adaptive designs; Bayesian designs; Estimands; Study PASS (Post Authorization Safety Study) and PAES (Post Authorization Efficacy Study).
- Fundamental ethics principles in research; Data governance and regulatory landscape (GDPR); issues and models related to data access / data sharing; The Ethics and Law of Experiments on Animals; End of life issues and the rights of terminally ill patients; The role of Ethical Committees.
- Regulatory aspects & legislations: the view of AIFA; Regulatory aspects & legislations: the view of pharma; Regulatory aspects & legislations in the area of rare-diseases; Good clinical practices.
48 HOURS
6 CFU
- Epidemiological designs;
- Introduction to Real World Data;
- Geo-spatial analysis;
- Real World Data (Pharmaceutical);
- Introduction to causal models.
32 HOURS
4 CFU
- Protocol development;
- End Point;
- End point Surrogate;
- Organizing Data & Data Management, Case Report Form & ECRF;
- Safety issues;
- Safety data analysis;
- Analysis of longitudinal data;
- Practical Review (Def. of a protocol);
- Reporting results;
- Reproducibility;
- Meta-analysis
40 HOURS
5 CFU
- Introduction to machine learning;
- Unsupervised learning;
- Neural networks and deep learning;
- From data to models in pandemics;
- Interpretable and explainable artificial intelligence;
- Computational intelligence for biomedicine and healthcare;
- Bayesian and causal networks.
24 HOURS
3 CFU
- Basic principles of scientific writing
- How to write a scientific paper
- How to write a Review
- Case report
- Letter to the editor
- Authorship
- Cover letter
- Peer review and manuscript evaluation
- Communicating science
- Writing an effective abstract
- Poster and oral presentation
- Communicating science to general public
- Social Media Communication
16 HOURS
2 CFU
- Funding opportunities for Young Investigators in Italy and Europe;
- Understanding the review process: writing for success;
- How to develop an Irresistible idea;
- The writing schedule;
- Background and Review of Literature;
- Hypothesis, Aim of the study, Preliminary Results;
- Experimental design & methods;
- Time & deliverables;
- Pitfalls;
- Expected outcome;
- Dissemination;
- Future directions
16 HOURS
2 CFU
Scientific Committee
Director
Members
Domenico
Criuscolo
Criuscolo
Freelancer
What skills do you gain?
Quantitative Approach to Biomedical Research
Clinical Data Science: Advanced Statistics I
Clinical Data Science: Advanced Statistics II
Study Design
Biostatistics Epidemiological Real World Studies
Research in Practice
Research Grant Writing
Scientific Communication & Writing
Bioinformatics and Biostatistics for Big Data
Methods and Data Analysis in Biomedical Research - MEDAL
Who is it aimed at ?
The training provided in MEDAL is of relevance for clinical researchers in universities and hospitals who are involved in "non-profit" and "profit" trials that aim at optimising diagnosis and treatment approaches and also for personnel from CROs (Contract Research Organisations) and public and private research centres and companies involved in biomedical and translational studies.
Professional opportunities
Professionals
The MEDAL Master's in Biomedical Research contributes to the technical and scientific training of professionals with high expertise in designing and analyzing clinical databases using statistics, machine learning, and data mining tools.
Biomedical Researcher
The Master's program contributes to the advanced training of medical statisticians and researchers with quantitative skills, who work or wish to work in biomedical research, in private and public research institutions, universities, and CROs.