Study location	Italy, Siena, Piazza San Francesco, 7/8 - 53100 - email: didattica.sem@unisi.it
Academic field	Statistics (JACS G300)
Type	Master's Degree, full-time
Nominal duration	2 years (120 ECTS)
Study language	Italian
Awards	M (LM-82 Class of second level degrees in Statistical Sciences)

Tuition fee	Tuition fees are paid annually in installments based on the total amount. Read more at admission.unisi.it/?p=1204
Application fee	€40 per program You will receive an e-mail with the payment instructions.

Entry qualification

Bachelor/Undergraduate diploma (or higher) After you have applied, an Enrolment Committee will assess your competences and skills against the requirements of the MSc Programme. Admission criteria The admission to the Master of a graduate who is in possession of a degree awarded by a foreign University or an equivalent foreign institute is evaluated by the Didactic Committee through a case by case assessment, considering the documentation received through online procedures, on the basis of the relevance and consistency of the qualification obtained abroad (and of the entire training course) with the training objectives of the Master, as well as linguistic knowledge. After the evaluation You will be notified about acceptance approximately one month after the application deadline. The entry qualification documents are accepted in the following languages: English / Italian. Schools and universities usually provide documentation translated into English. If this is not available, an official translation will be required, along with certification of the authenticity of the original documents. Review the documents required for the admission application at this link: admission.unisi.it/?p=1193 Review the documents required for enrollment (upon admission) at the link admission.unisi.it/?p=1193 Procedures at the Italian Diplomatic Representatives Non-EU citizens Non-EU citizens are invited to contact the Italian Diplomatic Representation of their countries as soon as possible in order to obtain all the required documents for the pre-enrollment at the University of Siena and for information regarding the VISA process. EU citizens – Non EU citizens with regular permit to stay – Italians with degrees obtained abroad They must contact the appropriate Italian Diplomatic Representation in order to obtain all the documents required for enrollment in the University of Siena.

Territory requirements	Applications are accepted from the following territories (based on citizenship): World.

Language requirements

English Italian In order to take the MSc courses, students must have an adequate knowledge of the English language, at minimum B2 level, as established by the Common European Framework of Reference for Languages (CEFR). Students can demonstrate the required knowledge level either through an approved international certification (see the list) of international certifications recognized by the University of Siena), or by passing a B2 level exam at the Centro Linguistico di Ateneo (CLA). After enrolment in Siena, students having an international certification must present it to the CLA office. The CLA is located in Piazza San Francesco 7, Siena (more details can be found in the related website). For students who are obliged to pass the B2 exam, the University of Siena offers B2 level courses. Dates of the exams and timetables of the courses are reported in the CLA website. The timetable of the English courses is also included in the MSc courses timetable. Students are strongly encouraged to pass the B2 exam as soon as possible, in order to be able to fruitfully take the MSc courses. Knowledge of Italian language The Italian language proficiency test is compulsory for all non-EU candidates residing abroad who enroll in a course taught in Italian and who do not have a language certification that allows the exemption from the test. For more information on certifications and the test click here

Other requirements	A statement of purpose must be added to your application. As the course is taught in Italian you are required to use this language for your motivation letter

More information	statistica-indagini-campionarie.unisi.it/..tatistica-indagini-campionarie.unisi.it/it

Overview

The course is aimed at preparing graduates with the ability to functionally enter public or private sectors in order to carry out activities of rationalization and management of information bases, design and implementation of statistical surveys useful for understanding socio-economic and environmental phenomena.

The cultural and professional profile of the master’s degree is characterized by an adequate knowledge of the main statistical analysis techniques with particular regard to the sample surveys on finite populations, the analysis of the relationships between variables, the multidimensional data analysis and the design of the experiments and the interpretation of their results.

Program structure

The degree course in ‘Statistics for sample surveys’ is taught in Italian.

Class MIUR: LM-82 Master’s degree in Statistical Sciences
Duration: 2 years
Credits: 120

Career opportunities

This Master’s Degree Course aims to train a figure of high professionalism in the field of statistical disciplines, able both to design surveys for the study of real phenomena and to analyze and interpret the information obtained.

The skills acquired during the degree program offer to/from graduates/ and employment opportunities in data analytics units of medium-sized companies and multinationals operating in various sectors, such as pharmaceutical, biomedical, ecological-environmental as well as in companies of any productive sector. I/the graduates/e can operate in the companies of the fields of credit (banks, financial, etc.), insurance, the search of the market, and the management of information systems. The preparation obtained during the course allows graduates/ graduates/ and also to undertake the liberal profession as a business consultant, insurance, or banking consultant.

Finally, the course trains graduates/ teachers able to access master’s degrees and PhD