This Master of Science program offers a degree in Statistics aimed at specialists and non-specialists alike. Emphasis is placed on data analysis and applied methods in a variety of disciplines. Training in mathematical statistics is also offered.
The Master of Science in Statistics degree is recommended not only to specialists wishing to broaden their theoretical knowledge for further work in statistical research but for non-specialists as well who wish to acquire further knowledge of data analysis and apply it to their area of specialization developed at the Bachelor's level.
Master students at the GSEM may go on exchange for one or two semesters. Students may go on exchange as early as their second semester. They may earn up to 30 credits while on exchange. The dissertation cannot be substituted.
The Master of Science in Statistics opens doors to opportunities in various industries: in agrolimentaire industry, international organizations, in (cantonal and federal) statistics offices, in financial companies, biostatistics (in the pharmaceutical industry ) and in many other areas. Finally, , the continuation of studies with a doctorate is also an option available to students who have completed the master.
General deadline, applies to everyone.)
Dates reflect the university's timezone.
Tuition fee for the international students.)
European Economic Area tuition fee is applicable to the students from EU countries, Iceland, Liechtenstein, Norway and Switzerland.)
In order to be eligible for admission, the applicant must have, as a minimum requirement, qualified for a Bachelor degree. Students who have been awarded a licence, a DEA or a Master's degree are invited to apply.
Students who have acquired a good level of mathematics at secondary school level (i.e.French Baccalauréat or Swiss Maturité ) who have a good command of basic computer tools, who have taken an introductory course in statistics during their undergraduate studies and have a good command of English (written and oral comprehension skills necessary for reading documents and attending lectures) have the ideal profile for our master.
Those who have a more solid background in mathematics and statistics can choose more methodological courses as well. The scientific committee may, however, decide to accept applicants with the proviso that they subsequently pass some or all the courses of the complementary program (maximum 30 credits).
No work experience is required.
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