The PhD program in "Mathematics, Computer Science, Statistics", based in Firenze, is managed by a Consortium among the University of Firenze, the University of Perugia and the Istituto Nazionale di Alta Matematica "F. Severi"-Rome (INdAM). This PhD program inherited the tradition of the pre-existing three separate PhD's in Mathematics, Computer Science, Statistics, and can rely upon the very many, and well established, scientific connections of the involved institutions with Universities and Research Centers in many Countries of the World. The relevant number of offered scholarships allows the achievement of a critical mass of PhD students and activities, which are fundamental for a doctorate with an interdisciplinary character.

The purpose of the Ph.D. in Mathematical Statistics is to provide qualifying students with an in-depth understanding and integrated knowledge of advanced applicable theory in the field of mathematical statistics.

Statistics and operations research are today of great importance as part of mathematics and as disciplines necessary for the understanding and advancement of other branches such as Economics, Engineering or Medicine, among others.

CERGE-EI (Center for Economic Research and Graduate Education - Economics Institute) is a joint workplace of Charles University and the Economics Institute of the Czech Academy of Sciences.

The curriculum consists of a thesis that incorporates a research proposal, an oral defense (viva voce) and two manuscripts, based on the candidate's research, submitted for publication to a recognized accredited journal. Proof of the submission of the manuscripts is a compulsory condition for the degree to be conferred.

Excellence in advanced training Applied Mathematics, through research work on the theme of the frontier of athematical knowledge; Solid and deep scientific knowledge in the area of Ap. Mathematics to enrich the previous training of the student; Maturity of logical and abstract reasoning; - Independence and creativity in problem solving in mathematics and its applications; - Innovation in treating problems of mathematics and applications to other contexts. We have a PhD program in Applied Mathematics that pools the considerable human and material resources of the participating institutions, to provide a research based degree, internationally competitive, in such areas as Analysis and Optimization, Statistics and Probability, Dynamics and Geometry and Algebra, Logic and Computation. Also our curricular component is sufficiently flexible to accommodate the varied interests and backgrounds of potential students, and it is also useful for the development of specific and transverse skills

A candidate must complete a thesis in one of several fields in which research is actively being done in the Department.

The Department of Statistical Science began offering a Ph.D. in Statistical Science in 1968. Since that time it has awarded over 185 Ph.D. degrees. The courses in the Ph.D. curriculum in Statistical Science at SMU provide our students with the strong theoretical foundation in mathematics, statistical inference, and probability needed for students pursuing a research-oriented Ph.D. degree.

PhD Thesis Research in Statistics

Statistics as a discipline develops methods to collect and interpret data. Modern statistical methods are used in many areas, such as medicine, the biological and social sciences, economics, finance, manufacturing, marketing research, management, government, and research institutes.

The Statistics Ph.D. degree curriculum at The University of Texas at Dallas offers extensive coursework and intensive research experience, in theory, methodology, and applications of statistics. During their study, Ph.D. students acquire the necessary skills to prepare them for careers in academia or in fields that require sophisticated data analysis skills.

Wharton’s Ph.D. program in Statistics allows students to engage in both cutting-edge theories and applied problems. These include problems from a wide variety of fields within Wharton, such as finance, marketing, and public policy, as well as fields across Penn such as biostatistics within the Medical School and computer science within the Engineering School.

This program prepares students for the proper use and application of advanced statistics and evaluation procedures, specifically applied in the social and behavioral disciplines of education, psychology, counseling and other related fields. Our graduates are prepared for educational research and evaluation positions in schools, government agencies, private corporations and foundations, colleges and universities, research institutions and national testing centers.

The PhD in Biostatistics is founded in theory and application or statistical analysis. The aim is to produce research-oriented scientists who can advance statistical and modeling theory and can interact effectively with scientists in other disciplines to advance knowledge in those fields.

Nowadays, science and technology are rapidly developing with an ever-increasing impetus and a substantial part of knowledge is comprised of quantitative data. The analysis and interpretation of this data require the use of mathematical and statistical methods.