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 Lezione
400 hours of Stage
Exams and Attendance
8
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
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.
Course News
ECONOMIC, STATISTICS AND LAW
Business Administration
Milan
Master 1 Level
English
16 months
blended
Vision
The master's program aims to provide participants with an international orientation, enabling them to understand the ever-evolving business and economic contexts. This helps develop professional profiles capable of navigating the competitive landscape in which companies operate.
It is suitable for those seeking to complete their education by developing the skills and knowledge necessary for employment in an international context. The MBA allows participants to enhance their individual abilities and attitudes, offering a solid framework of management tools, with the goal of fostering strong and tangible professional expertise. These skills are highly sought after, particularly in companies operating in international environments.
Mission
The Master in Business Administration, aimed at consolidating and enriching the students' professional skills and knowledge in business management, aligns with the current demands of the labor market, which increasingly seeks profiles with international expertise to better address global managerial, strategic, and competitive dynamics.
For this reason, the program seeks to deepen various specialized areas with a focus on integrating and developing international businesses. To achieve this, the master offers a curriculum based on teaching methods that emphasize team working and action learning, supported by the presence of experienced faculty from diverse sectors, who have gained hands-on experience, including in international contexts.
Structure
Teaching Organization
376 hours of Lessons
300 hours of Stage/Project Work
- Teaching activities, whilst taking place in the classroom, thanks to available technologies can also be accessed remotely in a synchronous and interactive way.
- Some lessons can only be delivered via WebConference in synchronous mode
Exams and Attendance
8
EXAMS
+
1
FINAL TEST
For a total of 60 CFU
REQUIRED
75 %
OF HOURS OF ATTENDANCE
Courses
88 HOURS
11 CFU
64 HOURS
8 CFU
48 HOURS
6 CFU
56 HOURS
7 CFU
32 HOURS
4 CFU
32 HOURS
4 CFU
16 HOURS
2 CFU
40 HOURS
5 CFU
Scientific Committee
Direttore
Componenti
Maurizio
Lonati
Lonati
PWC SpA
Claudio
Mariani
Mariani
KPMG SpA
What skills do you gain?
Business Administration and Strategy
Financial Accounting
Marketing
Corporate Finance
Auditing
Governance&Compliance
Business Law
Business English
HUMANITIES AND SOCIAL SCIENCES
INTERUNIVERSITY - Psychological skills in intercultural settings
Padua
Master 1 Level
English
12 months
e-learning
Vision
The Master in Psychological Skills in Intercultural Settings provides the right psychological skills to work in several multicultural contexts: schools, non-profit and hosting organizations, etc.
This course guides a reflection on what culture means, and on how it is reflected in people’s behaviours and interactions, in different contexts.
The Master provides an interdisciplinary background in intercultural psychology. The topics it covers are extremely current, and find broad application in a globalized world, characterized by constantly changing migratory flows.
The master's program is offered by the University of Padua in collaboration with the University of Milano-Bicocca.
Mission
The Master in Psychological skills in Intercultural Settings provides specific knowledge, organized in the following modules:
- Module 1 – FUNDAMENTALS OF INTERCULTURAL PSYCHOLOGY
- Module 2 – INTERCULTURALITY IN DEVELOPMENTAL PSYCHOLOGY IN MULTIPLE CONTEXTS AND INDIVIDUAL CONDITIONS
- Module 3 – CROSS-CULTURAL CLINICAL NEUROPSYCHOLOGY
- Module 4 – RESEARCH, METHODOLOGY AND ANALYSIS IN CROSS-CULTURAL CONTEXTS
- Module 5 – DIVERSITY-BASED CLINICAL APPLICATIONS
- Module 6 – INTERCULTURE IN SOCIAL SCIENCES
Structure
Teaching Organization
306 hours of Distance learning
1194 hours of Individual study + internship
Exams and Attendance
REQUIRED
70 %
OF HOURS OF ATTENDANCE