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The course stems from the over 50-years’ experience of teaching and research in Statistics at the University of Siena, gathered first with the course in "Statistical and Economic Sciences" and then with the master's degree course in “Statistics for Sample... Read more
The course stems from the over 50-years’ experience of teaching and research in Statistics at the University of Siena, gathered first with the course in "Statistical and Economic Sciences" and then with the master's degree course in “Statistics for Sample Surveys”. The course prepares graduates who, by translating knowledge demands into rigorous terms, are capable of understanding, describing, and analysing complex phenomena in numerous contexts, including social, economic, environmental, ecological, medical and pharmaceutical settings.
In fact, the course provides adequate knowledge of the procedures for collecting and managing data deriving from both traditional and new sources (big data, open data) and of the suitable methodologies for their analysis using data processing tools, distinctive to the data scientist.
The cultural and professional profile will allow the graduate to enter positions of high responsibility in public and private sectors, such as national and international research institutes, international agencies, public administration, pharmaceutical companies and companies in the credit, insurance, and market research sectors, among others.
The course stems from the over 50-years’ experience of teaching and research in Statistics at the University of Siena, gathered first with the course in "Statistical and Economic Sciences" and then with the master's degree course in “Statistics for Sample... Read more
The course stems from the over 50-years’ experience of teaching and research in Statistics at the University of Siena, gathered first with the course in "Statistical and Economic Sciences" and then with the master's degree course in “Statistics for Sample Surveys”. The course prepares graduates who, by translating knowledge demands into rigorous terms, are capable of understanding, describing, and analysing complex phenomena in numerous contexts, including social, economic, environmental, ecological, medical and pharmaceutical settings.
In fact, the course provides adequate knowledge of the procedures for collecting and managing data deriving from both traditional and new sources (big data, open data) and of the suitable methodologies for their analysis using data processing tools, distinctive to the data scientist.
The cultural and professional profile will allow the graduate to enter positions of high responsibility in public and private sectors, such as national and international research institutes, international agencies, public administration, pharmaceutical companies and companies in the credit, insurance, and market research sectors, among others.
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
Statistical Methods and Data Analytics
Siena Campus, Siena, Italy
24 monthsProgram duration
Statistics and Operational ResearchMain Subject Area
Program overview
Main Subject
Statistics and Operational Research
Degree
Other
Study Level
Masters
Study Mode
On Campus
The course stems from the over 50-years’ experience of teaching and research in Statistics at the University of Siena, gathered first with the course in "Statistical and Economic Sciences" and then with the master's degree course in “Statistics for Sample...
Read more
The course stems from the over 50-years’ experience of teaching and research in Statistics at the University of Siena, gathered first with the course in "Statistical and Economic Sciences" and then with the master's degree course in “Statistics for Sample Surveys”. The course prepares graduates who, by translating knowledge demands into rigorous terms, are capable of understanding, describing, and analysing complex phenomena in numerous contexts, including social, economic, environmental, ecological, medical and pharmaceutical settings.
In fact, the course provides adequate knowledge of the procedures for collecting and managing data deriving from both traditional and new sources (big data, open data) and of the suitable methodologies for their analysis using data processing tools, distinctive to the data scientist.
The cultural and professional profile will allow the graduate to enter positions of high responsibility in public and private sectors, such as national and international research institutes, international agencies, public administration, pharmaceutical companies and companies in the credit, insurance, and market research sectors, among others.
Read lessProgram overview
Main Subject
Statistics and Operational Research
Degree
Other
Study Level
Masters
Study Mode
On Campus
The course stems from the over 50-years’ experience of teaching and research in Statistics at the University of Siena, gathered first with the course in "Statistical and Economic Sciences" and then with the master's degree course in “Statistics for Sample...
Read more
The course stems from the over 50-years’ experience of teaching and research in Statistics at the University of Siena, gathered first with the course in "Statistical and Economic Sciences" and then with the master's degree course in “Statistics for Sample Surveys”. The course prepares graduates who, by translating knowledge demands into rigorous terms, are capable of understanding, describing, and analysing complex phenomena in numerous contexts, including social, economic, environmental, ecological, medical and pharmaceutical settings.
In fact, the course provides adequate knowledge of the procedures for collecting and managing data deriving from both traditional and new sources (big data, open data) and of the suitable methodologies for their analysis using data processing tools, distinctive to the data scientist.
The cultural and professional profile will allow the graduate to enter positions of high responsibility in public and private sectors, such as national and international research institutes, international agencies, public administration, pharmaceutical companies and companies in the credit, insurance, and market research sectors, among others.
Read lessAdmission Requirements
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
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