Doctorate Degrees in Statistics

Compare 10 PhD Programs in Statistics

Statistics

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.

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Official Doctoral Program In Statistics And Operational Research

Universidade da Coruña
Campus Full time Part time 3 - 5 years September 2017 Spain A Coruña + 1 more

The Doctoral Program in Statistics and Operational Research is an official interuniversity degree offered jointly 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. [+]

PhDs in Statistics. Introduction 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. Lines of investigation These are the lines of research of this doctoral program: Statistics Operational Research and Game Theory Specific Training Complements In case the doctor does not have the complete previous training required in the program, his / her admission to the program may be conditioned to the surpassing of specific training complements, which may be subjects or modules of master and degree. The complements assigned to the same doctorate may not exceed 15 ECTS credits and may be made prior or simultaneous to the tuition in academic tuition in the program. In case of simultaneous realization the students will have to register for these complements at the moment of formalizing the tuition of academic tutelage in the program, which must be surpassed in the maximum term of three consecutive quarters. Failure to... [-]

PhD in Mathematics

The Hong Kong University of Science and Technology
Campus Full time Part time 3 - 4 years September 2018 Hong Kong

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. [+]

Joining the Department as a postgraduate is certainly a good move. The Department maintains strong research in both pure and applied mathematics, as well as the traditional core of a Mathematics department. What makes our Department different is the equally strong research in fluid mechanics, scientific computation and statistics. The quality of research at the postgraduate level is reflected in the scholarly achievements of faculty members, many of whom are recognized as leading authorities in their fields. Research programs often involve collaboration with scholars at an international level, especially in the European, North American and Chinese universities. Renowned academics also take part in the Department's regular colloquia and seminars. The faculty comprises several groups: Pure Mathematics, Applied Mathematics, Probability and Statistics. Mathematics permeates almost every discipline of science and technology. We believe our comprehensive approach enables inspiring interaction among different faculty members and helps generate new mathematical tools to meet the scientific and technological challenges facing our fast-changing world. 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. Research Foci Algebra and Number Theory The theory of Lie groups, Lie algebras and their representations play an important role in many of the recent development in mathematics and in the interaction of mathematics with physics. Our research includes representation theory of reductive groups, Kac-Moody algebras, quantum groups, and conformal field theory.... [-]

PhD in Mathematical Statistics

University of Johannesburg
Campus Full time February 2018 South Africa Johannesburg

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. [+]

PhDs in Statistics. 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 PhD 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 specialisation. 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. The general regulations for Doctorates are applicable. [-]

PhD in Applied Mathematics and Statistics

Izmir University of Economics
Campus Full time 4 years September 2017 Turkey Balçova

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. [+]

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 Applied Mathematics and Statistics doctorate program practiced by the Department of Mathematics enables the students to conduct advanced rersearch 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 Applied Mathematics and Statistics Ph.D. program is designed to enable the graduates to have a successful academic career and carry out scientific research. Courses MATH 505 Advanced Mathematical Analysis MATH 601 Differential Equations STAT 601 Probability Theory and Mathematical Statistics GSNS 695 Seminar MATH 602 Advanced Linear Algebra and Optimization GSNS 697 Individual Studies in Applied Mathematics and Statistics GSNS 698 Thesis Proposal in Applied Mathematics and Statistics Elective Courses ECON 517 Financial Econometrics FM 506 Stochastic Processes in Finance IE 502 Probabilistic Systems Analysis IES 503 Artificial Intelligence IES 508 System Simulation and Modeling IES 509 Heuristics IES 511 Machine Learning IES 513 Mathematical Programming and Applications IES 534 Nonlinear Programming IES 570 Criptology and Computer Security MATH 504 Statistics MATH 508 Partial Differential Equations MATH 552 Copula Theory and Its Application in Finance MATH 553 Optimization MATH 554 Basic Topics in Mathematics MATH 555 Financial Mathematics MATH 600 Mathematics Softwares and Research... [-]

PhD in Mathematical Analysis, Modelling and Application

International School for Advanced Studies (SISSA)
Campus Full time 3 - 4 years August 2018 Italy Trieste

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. [+]

PhDs in Statistics. Purpose of the PhD Course 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. The goal is to enable PhDs to work as high level researchers in these fields in universities, research institutes, and private companies. Research Topics 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. The activity in Mathematical Modelling is oriented to subjects for which the main technical tools come from mathematical analysis. The present themes are multiscale analysis, mechanics of materials, micromagnetics, modelling of biological systems, computational fluid and solid dynamics and problems related to control theory. The Applications of Mathematics developed in this course are related to the numerical analysis of partial differential equations and of control problems. This activity is developed in collaboration with MathLab for the study of problems coming from the real world, from industrial and medical applications, and from complex systems. Main research lines: Calculus of Variations and Multiscale Analysis Conservation Laws and Transport Problems Geometric Control Theory and Sub-Riemannian Geometry Mechanics of Materials and of Biological Systems Nonlinear Analysis Numerical Analysis Systems Biology The most recent placements after PhD at SISSA: Ecole Polytechnique (Palaiseau, France), University... [-]

PhD in Statistical Physics

International School for Advanced Studies (SISSA)
Campus Full time 3 - 4 years October 2017 Italy Trieste

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, [+]

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. Thanks to an intense activity of postgraduate courses, weekly seminars, colloquia and journal club meetings, the PhD programme aims at providing students with aims at training students to a complete mastery of the scientific methods of Statistical Physics and exposing them to research topics which are currently at the frontier of this field, such as: Quantum Field Theory Exactly Solvable Models Ultra-cold atomic gases Quantum spin chains Physics out of equilibrium and thermalization properties Quantum quench and entanglement AdS/CFT correspondence Conformal Field Theory Stochastic methods Casimir effect Random matrices The most recent placements after PhD at SISSA: Rockfeller Foundation, New York, USA Rutgers University, Rutgers, USA Nordita, Stockholm, Sweden Max... [-]

PhD in Demography

Charles University Faculty of Science
Campus Full time Part time 4 years September 2017 Czech Republic Prague + 1 more

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. [+]

PhDs in Statistics. Demography is the scientific study of human population dynamics. It encompasses the study of the size, structure and distribution of populations, and how populations change over time due to births, deaths, and migration including related events of marriages, divorces and abortions. The relationships between economic, social, cultural, and biological environments and population development in terms of causes and effects (including forecasting) are the object of population studies in broader sense. Demography compiles and analyzes data that are useful for various disciplines dealing with human populations such as: economics, sociology, social medicine, anthropology, historiography, social geography, ecology, etc. Outcomes of demographic studies are important for public administration, policymaking, health service organization, educational system, insurance companies, etc. Description of the entrance examination and evaluation criteria The entrance examination has one round and is held as an interview. In exceptional cases, requested in writing by 30 April 2017, the dean can permit entrance examinations to take place via information and communication technology. During the entrance examination the candidate must demonstrate technical and linguistic skills to study the given field along with attributes necessary for scientific work. The entrance examination also takes into account the interest of the candidate in pursuing specific doctoral work with a particular supervisor and the candidate’s ability to handle this topic. The maximum score of the examination is 100 points. Conditions for admission Submission of a properly completed application, including prescribed appendices, and payment of the application fee by 30 April 2017. Completion of a master’s... [-]

PhD in Probability and Statistics, Econometrics and Financial Mathematics

Charles University Faculty of Mathematics and Physics
Campus Full time Part time 4 years September 2017 Czech Republic Prague + 1 more

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. [+]

Subject entrance examination The subject entrance examination takes the form of a discussion about the chosen study programme and the intended doctoral thesis topic. The committee judges the applicant's interest in the field, motivation, expertise, and overall readiness for doctoral studies. The level of knowledge expected is that required for passing the state final examination of the corresponding master's study programme and branch at Charles University. The applicant must demonstrate his/her insight into the basic areas of science relevant to the chosen thesis topic. The committee also takes into account documents submitted with the application, namely the statement by the proposed advisor, by the head of the proposed training department, recommendation letters, CV, and the letter of motivation. Language entrance examination The language entrance examination verifies that you have an adequate command of the English language, i.e. at least at level B2 of the Common European Framework of Reference for Languages (CEFR). Conditions for admission Admission for studies You will be admitted for studies if you have completed a Master degree programme, successfully pass (or get a waiver of) the subject and language entrance examination, and if an advisor in the required study programme is available. Information on the exercise of graduates 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. Thanks to a deep learning of probabilistic and statistical models... [-]

PhD in Mathematical Sciences

University of Göttingen
Campus Full time 6 semesters October 2017 Germany Göttingen Austria Innsbruck Italy Rome Padua Serbia Belgrade Hannover Braunschweig Clausthal-Zellerfeld + 10 more

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. [+]

PhDs in Statistics. Description of Study Program 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. Ph.D projects may also be interdisciplinary, with close connections to other disciplines, such as mathematical physics or biophysics. For more information about the various research topics of the Göttingen math department, please consult the faculty homepages. The Ph.D program usually takes three years. During the entire program, doctoral candidates are students of the University of Göttingen. Aside from the research program, Ph.D candidates are additionally required to attend lectures and seminars in order to broaden their knowledge and to acquire new skills. Ph.D students are also expected to present their research results at international conferences and workshops. Ph.D students are integrated into the research activities of up to two research groups. Ph.D students are guided through their program by a thesis committee (comprised of three faculty members) for quality insurance. If you are interested in pursuing a Ph.D in mathematics in Göttingen, please contact a faculty member in order to inquire about open position and financial support. Programme name: Mathematical Sciences (Ph.D.) Degree: Ph.D. or Dr. rer. nat. Standard period of study: 6 semesters Starting semester: Winter or summersemester Admission terms: Limited admissions, application to the faculty Admission requirements: Master in mathematics; application with a master's degree in... [-]

PhD in Applied Statistics and Empirical Methods

University of Göttingen
Campus Full time 6 semesters October 2017 Germany Göttingen Austria Innsbruck Italy Rome Padua Serbia Belgrade Hannover Braunschweig Clausthal-Zellerfeld + 10 more

The Centre for Statistics offers an international and interdisciplinary Ph.D. Program in Applied Statistics and Empirical Methods at the Georg-August-Universität Göttingen. [+]

Ph.D. Program Applied Statistics and Empirical Methods The Centre for Statistics offers an international and interdisciplinary Ph.D. Program in Applied Statistics and Empirical Methods at the Georg-August-Universität Göttingen. The Ph.D. program is especially designed for: Ph.D. students who are interested in a statistical or empirical PhD project Ph.D. students who's supervisor is a member of the Centre for Statistics Admission requirements: sound knowledge of basic statistics and methodology (30 ECTS or equivalent; with 15 ECTS a conditional admission is possible) adequate skills in English language (language requirements) a Master or Diploma (or equivalent) in one of the following fields: agricultural sciences biosciences computer sciences economics forest sciences mathematics/statistics medicine/epidemiology physics psychology social sciences The study programme: In total 27 credit points will be accumulated. These credits will be gained by passing courses in the following areas: at least 12 ECTS on statistical methodology at least 4 ECTS on specialisation courses research seminars (4 ECTS) summer schools and conferences (3 ECTS) key competencies (4 ECTS) Ph.D. students from Georg-August-University Göttingen and other Universities, who need further skills in statistical or empirical methods for their project and are not eligible for the Ph.D. Program can apply for the Certificate Programm in Applied Statistics and Empirical Methods. This also applies for students from research training groups (Graduiertenkollegs) since they are already enroled in a Ph.D. program. Postdocs and non-academic professionals, who want to acquire further skills in statistical or empirical methods can also apply for the Certificate Programm in Applied Statistics and Empirical... [-]