Statistics is a highly relevant field with applications in many different academic disciplines, such as medicine, natural sciences, education, psychology, and education. It is also a desirable skill for workers in industry, business, and government.
This proposal proposes an interdisciplinary doctorate whose itineraries in specific areas of specialization allow the formation of PhD students in different areas of know
This proposal proposes an interdisciplinary doctorate whose itineraries in specific areas of specialization allow the formation of PhD students in different areas of knowledge (Fundamental Mathematics, Applied Mathematics, Statistics, Mathematical Transfer, Information Technologies, among others). In these moments, the scientific production and the formative capacity of the researchers of the different groups in the field of the Scientific Computing, Mathematical, Mathematical Models and Statistical Techniques advises the creation of a specific doctorate program, with its own identity, that allows the consolidation of the research and transfer activity in this area.
Nowadays, science and technology are rapidly developing with an ever-increasing impetus and a substantial part of knowledge is comprised of quantitative data. The analysi
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. The Applied Mathematics and Statistics doctorate program practiced by the Department of Mathematics enables the students to conduct advanced research for application in the fields of Engineering, Medicine, Physics, Biology, Computer Sciences under the supervision of advisors. The academic staff comprises dynamic lecturers who are capable of conducting efficient scientific research and publishing them in internationally recognized journals....
The aim of the Ph.D. Course in Mathematical Analysis, Modelling, and Applications is to educate graduate students in the fields of mathematical analysis and mathematical
Purpose of the Ph.D. Course
The aim of the Ph.D. Course in Mathematical Analysis, Modelling, and Applications is to educate graduate students in the fields of mathematical analysis and mathematical modeling, and in the applications of mathematical and numerical analysis to science and technology. The goal is to enable PhDs to work as high-level researchers in these fields in universities, research institutes, and private companies.
The activity in Mathematical Analysis is mainly focused on ordinary and partial differential equations, on dynamical systems, on the calculus of variations, and on control theory. Connections of these topics with differential geometry and reduced order modeling are also developed....
Statistical Physics, together with Quantum Mechanics, is the pillar of our understanding of many physical phenomena, from the simplest to the most sophisticated. The fiel
Statistical Physics, together with Quantum Mechanics, is the pillar of our understanding of many physical phenomena, from the simplest to the most sophisticated. The field has recently witnessed a significant and impressive outpouring of experimental and theoretical results, which have created an ideal physicist’s playground.
Statistical Physics addresses, for instance, crucial questions about the nature of phase transitions and predicts the possibility to forge new states of matter, such as Bose-Einstein condensation in ultra-cold gases. At the same time, it provides a vital source of fresh ideas and inspiration for those who work in more theoretical directions. Its attraction lies in its ability to produce an array of sophisticated analytical and conceptual tools with far-reaching applications. The remarkable blend of mathematical and physical ideas is at the root of the outstanding scientific elegance and extraordinary efficiency characterizing this scientific area....
Charles University Faculty of Mathematics and Physics
The program is based on a mathematical background, which involves probability theory, stochastic processes, mathematical and computational statistics, optimization, econo
The program is based on a mathematical background, which involves probability theory, stochastic processes, mathematical and computational statistics, optimization, econometrics, operational research, financial and insurance mathematics. The connected creative work is represented especially by the basic mathematical research, and partly by applications, e.g. in finance and insurance. The doctoral students enhance their knowledge in advanced courses and seminars, according to their individual study plans. Under the supervision of their advisor, they provide research work in a given topic and publish their results and presents them at scientific conferences. The study branch will prepare experts who can become successors of faculty professors, others will profit from their mathematical thought in practice....
The Doctoral Program in Statistics and Operational Research is an official interuniversity degree offered jointly by the three public universities of Galicia. Its objecti
The Programme Doctorate in Statistics and Operational Research Is an official interuniversity degree jointly offered by the three public universities of Galicia. Its objective is to train researchers in the area of statistics and operational research, so that they are able to carry out a doctoral thesis and develop a later academic or professional career in that scientific field.
Why study the degree
Decision-making in today's world, where large masses of data are available, makes it necessary to use statistical tools and increasingly sophisticated mathematics, which must be developed by experts such as those in this doctoral program .
What is learned
Statistical techniques, optimization techniques, mathematical techniques to aid decision making....
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 theor
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.
A Ph.D. in Mathematical Statistics is a pure science-based research study that requires candidates to demonstrate high-level research capability and make a significant and original academic contribution at the frontiers of the discipline of specialization.
The PhD in Mathematical Statistics demands a very high level of intellectual, theoretical and practical specialized science knowledge and insight into problems related to the field of study and of the application of advanced experimental methods and techniques of the modern research, as well as of fundamental scientific and academic values in generating, processing, interpreting and presenting research data orally and in written form....
King Abdullah University of Science and Technology
The Statistics (STAT) program educates students to analyze and model complex real-world problems arising in modern Statistical Data Science.
About the Program
The Statistics (STAT) program educates students to analyze and model complex real-world problems arising in modern Statistical Data Science. Two degrees are offered: the M.S. degree (under either a Thesis or a Non-Thesis option) and the Ph.D. degree. Admission to one degree does not guarantee transfer to another. All students in the M.S. and Ph.D. programs are guided by a Faculty Advisor to develop their program of study.
The Doctor of Philosophy (Ph.D.) Degree is designed to prepare students for research careers in academia and industry. It is offered exclusively as a full-time program.
There is a minimum residency requirement at KAUST of three and a half years for students entering with a B.S. Degree and two and a half years for students entering with an M.S. Degree. A minimum GPA of 3.0 must be achieved on all doctoral coursework. Individual courses require a minimum of a ‘B-‘ to earn course credit....