Statistics has slowly but surely become a field of major importance to basically all areas of human activity. A PhD is a prestigious degree perfect for students who would like to pursue an academic career. A PhD in Statistics will give you the chance to combine the two and obtain a highly valued degree in a challenging and respected field.
The key prior knowledge for taking a PhD in Statistics is mathematics and computer science, as these are the two you will be most indulging in. However, prior experience with probability and statistics is a great advantage. Among the areas you will be examining are statistical methods, game theory, decision theory and information theory. All students are given the chance to pursue research in their preferred area of interest while getting support from their professors and colleagues. Graduates of a PhD program in Statistics will typically find employment in academia or financial services, however, various fields are open to them.
Look at the options listed below, find the school you like best and apply for your PhD in Statistics already today.
Mathematical modeling is the process of developing mathematical descriptions, or models, of real-world systems. These models can be linear or nonlinear, discrete or continuous, deterministic or stochastic, and static or dynamic, and they enable investigating, analyzing, and predicting the behavior of systems in a wide variety of fields. [+]
The Doctor of Philosophy (PhD) may be undertaken in any discipline within the Arts or Sciences. The degree offers ABDs or those who have earned sixty-six graduate credits from an accredited institution the opportunity to complete their doctoral studies. [+]
The PhD program in Operations Management emphasizes model-based methodology and practice-motivated research. Students are trained to use quantitative tools and analytical frameworks from operations research, economics, and other disciplines to study managerial problems in business processes, such as supply chains, manufacturing and service systems. [+]
The PhD program provides a broad background in mathematics and mathematical sciences. Students choose their major concentration from three options: Pure Mathematics, Applied Mathematics; and Probability and Statistics. The doctoral thesis must be an original contribution to the field. [+]
This proposal presents an interdisciplinary doctoral whose itineraries in specific areas of expertise allow the formation of doctoral candidates in different areas of knowledge (Fundamental Mathematics, Applied Mathematics, Statistics, Mathematics Transfer, Information Technology, among others). [+]
The purpose of the PhD 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. graduate in Demography is an expert in many areas of population studies. He/she provides all types of demographic research and analysis in the context of social, economic or health issues. He/she is skilled in making all types of population forecasts, including estimates for future infrastructure demands. [+]
The graduates have extensive knowledge from the probability theory, mathematical statistics and optimization, based on abstract mathematics. They are able to make use of new scientific achievements, mathematical methods and modern computational tools, develop them and critically evaluate. [+]
The research and PhD in physics at the GSSI is focused on astroparticle physics. Astroparticle physics is an interdisciplinary and young research field, grown at the intersection of particle physics, nuclear physics, astrophysics and cosmology. [+]
Nowadays, science and technology is 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 aim of the PhD Course in Mathematical Analysis, Modelling, and Applications is to educate graduate students in the fields of mathematical analysis and mathematical modelling, and in the applications of mathematical and numerical analysis to science and technology. [+]
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, [+]
The GGNB doctoral program / International Max Planck Research School "Physics of Biological and Complex Systems" is a member of the Göttingen Graduate School for Neurosciences, Biophysics, and Molecular Biosciences (GGNB). The research-oriented program is taught in English and open to students who hold a Master's degree (or equivalent) in the physics, biophysics, chemistry, life sciences, medicine, or related fields. [+]
PhD in Physics of Biological and Complex Systems
The GGNB doctoral program / International Max Planck Research School "Physics of Biological and Complex Systems" is a member of the Göttingen Graduate School for Neurosciences and Molecular Biosciences (GGNB). It is conducted jointly by the University of Göttingen, the Max Planck Institute for Biophysical Chemistry, and the Max Planck Institute for Dynamics and Self-Organization.The research-oriented program is taught in English and open to students who hold a Master's degree (or equivalent) in the physics, biophysics, chemistry, life sciences, medicine, or related fields.Building upon the increasingly strong links between physics, chemistry and the life sciences, the program aims at advancing the quantitative and molecular understanding of life processes while at the same time exploring new frontiers of physics. Research topics include biomolecular structure and dynamics, biological membranes, motor proteins and pattern formation in systems of interacting cells, neuronal information processing, and hydrodynamics and pattern formation of complex fluids.The program offers cutting-edge advanced microscopy courses and teaches the basics of new cutting-edge techniques essential for studying life processes in combination with quantitative physical approaches and synthetic strategies. An important aim is to overcome traditional barriers between disciplines and expose graduate students to physics, chemistry and biology for a deeper understanding of all areas preparing students for increasingly interdisciplinary life sciences.... [-]
The Göttingen math department offers excellent and manifold opportunities for pursuing a career towards a doctoral degree. Students are integrated into the international and inspiring environment of the department. The spectrum of possible Ph.D research topics ranges from pure over applied mathematics to mathematical statistics. [+]
The Centre for Statistics offers an international and interdisciplinary Ph.D. Program in Applied Statistics and Empirical Methods at the Georg-August-Universität Göttingen. [+]