Doctorate Degrees in Statistics

Compare 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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Doctorate in Arts and Science

International University For Graduate Studies - IUGS
Online & Campus Combined Part time February 2017 Dominica Portsmouth

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. [+]

PhDs in Statistics. 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. Sixty-six graduate credits are needed for transfer. These credits may be taken prior to or after admission. An additional twenty-seven credits are to be earned at International University for Graduate Studies. Candidates are required to undertake six credits of non-classroom research and design, which is the foundation for the eighteen credit doctoral dissertation and oral defense. In addition, a three-credit eight-day doctoral seminar is required. The sixty-six transferred credits and the additional twenty-seven credits which are earned at IUGS will total ninety-three credits and will meet the requirements for the Doctor of Philosophy. Before writing the dissertation, all candidates must select a mentor with a doctorate in a related field of study so that he or she may guide the doctoral candidate in completion of the dissertation. The doctoral candidate may select a mentor known to her or him, or have an appropriate mentor assigned by the Dean of Arts and Science. The academic environment at International University for Graduate Studies respects the doctoral candidate's professional experience, academic background and maturity. Doctoral candidates bond with mentors, faculty and fellow students during the learning process, while accomplishing their professional goals. DEGREE REQUIREMENTS Doctor of Philosophy (Ph.D.) A relevant master's degree. Documented pertinent professional experience. 93 credits*, which include the... [-]

PhD In Mathematics And Statistics

Universidad de La Laguna
Campus Full time Part time September 2017 Spain Santa Cruz de Tenerife

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). [+]

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). At present, scientific production and training capacity of researchers of different groups in the field of Computer Science, Mathematics, Mathematical Models and Techniques Statistics suggest the creation of a specific program of doctorate, with its own identity, which allows consolidation and transfer research activity in this area. Justification title The applicant university doctoral program in Mathematics and Statistics is the University of Zaragoza (UZ). The University of Zaragoza was created with the aim of providing quality university education. He began his academic activity during 1550 and since then has received the following awards: - Institution number 223 in the INSTITUTION RANKINGS IN MATHEMATICS by the ISI Web of Knowledge. - Member of G9 (2000 doctoral students, 230 theses / year) - Participant in more than 40 European projects (Erasmus, Leonardo da Vinci, etc.) since 2004. - He has made more than 1,700 agreements with foreign universities, receiving more than 1200 Erasmus students. - Seven of the 11 universities in Spain included in the ranking of Shanghai. The UZ has the Vicerrectorados scientific policy and technology transfer and innovation, whose main function is to promote and coordinate the activities of research, innovation and knowledge transfer from the university, with the guarantee of effective management and mechanisms for dissemination appropriate. Aware of the importance of incorporating PhD... [-]

PhD in Mathematical Statistics

University of Johannesburg
Campus Full time February 2017 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 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. [+]

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 program of study... [-]

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. [+]

PhDs in Statistics. 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... [-]

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 2017 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 Astroparticle Physics

GSSI - Gran Sasso Science Institute
Campus Full time 3 years November 2017 Italy L'Aquila

The main aim of the curriculum in Astroparticle Physics is to provide the entrance points and the scientific and cultural tools to participate successfully to the researches in this interdisciplinary and young research field, grown at the intersection of particle physics, nuclear physics, astrophysics and cosmology. The program addresses some of the most pressing and fundamental questions in science today: the origin and the evolution of our universe, the nature of dark matter and dark energy, the study of neutrinos, of cosmic rays, of gravitational waves. A special attention will be given to experimental and phenomenological aspects. [+]

PhDs in Statistics. The main aim of the curriculum in Astroparticle Physics is to provide the entrance points and the scientific and cultural tools to participate successfully to the researches in this interdisciplinary and young research field, grown at the intersection of particle physics, nuclear physics, astrophysics and cosmology. The program addresses some of the most pressing and fundamental questions in science today: the origin and the evolution of our universe, the nature of dark matter and dark energy, the study of neutrinos, of cosmic rays, of gravitational waves. A special attention will be given to experimental and phenomenological aspects. Places / Scholarships : 10 Scholarships GSSI awards scholarships for 3 years. The yearly amount of the scholarship is of €16.159,91 gross(an additional 50% on monthly basis may be awarded for research period aboard if approved by the GSSI). Facilities and benefits All PhD students will have tuition fees waived; All PhD students will have free accommodation at the GSSI facilities or a financial substitute of 350,00 Euros gross/month (to obtain the contribution, the students would have to present a rental agreement); All PhD students will have free luncheon vouchers(1 per day, working days,except school closures, missions, other situations contemplated by the GSSI rules); All PhD students will be covered by insurance against any accident and/or injury that may occur while carrying out their PhD activities. Requirements English knowledge is compulsory. Applications are opened to candidates who meet the below requirements without regard to nationality, age, gender or religion: Italian... [-]

PhD in Physics of Biological and Complex Systems

University of Göttingen
Campus Full time 3 years Open Enrollment Germany Göttingen

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.... [-]


PhD in Mathematical Sciences

University of Göttingen
Campus Full time 6 semesters October 2017 Germany Göttingen

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

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... [-]

PhD in Statistics and Operations Research

RMIT University
Campus Full time 4 years July 2017 Australia Melbourne

RMIT offers a variety of learning and teaching approaches including lectures, seminars, studios, workshops, presentations, group discussions and syndicate... [+]

PhD in Statistics and Operations Research

RMIT offers a variety of learning and teaching approaches including lectures, seminars, studios, workshops, presentations, group discussions and syndicate work. These are primarily in English.You will have access to the Learning Hub and other online and digital resources through the myRMIT student portal.You will undertake the approved research program under the supervision of an appointed research supervisor. Successful completion involves submitting a thesis or project.

Program structure

For both the Master by research (Statistics and Operations Research) and the Doctor of Philosophy (Statistics and Operations Research), you'll be required to complete the Research Methods course OENG1047, which is delivered face-to-face.... [-]