Compare 34 PhD Programs in Mathematics

There are numerous PhD Mathematics programs located at excellent universities across the globe. With a PhD Mathematics, professionals have excellent career opportunities in academia, research, engineering, economics, government, and other public and private sector jobs.

Curriculum for a PhD Mathematics program is challenging and generally includes coursework, seminars, teaching, and research. Research is conducted under the guidance of a supervisor and must be on an original topic resulting in a doctoral dissertation. The PhD Mathematics candidate must defend the dissertation in front of a panel of experts. Generally, PhD Mathematics programs take between 3 and 5 years to complete and although requirements differ depending on the academic institution and specific program, candidates must have the appropriate educational background, training, and experience in mathematics.

Scroll through the PhD Mathematics programs below to learn more about the opportunities waiting for you. Take the next step today!

34 Results in Mathematics

Location

Study type

All Campus Online Distance learning

Pace

All Full time Part time

34 Results in Mathematics Filter

Other options within this field of study

Online | Master | Courses | Bachelor

PhD in Mathematical Modeling

Rochester Institute of Technology (RIT)

Campus Full time 3 years September 2017 USA Rochester

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. [+]

PhDs in Mathematics. PhD in Mathematical Modeling Program overview Please Note: This program is currently recruiting its first class, which will begin in fall 2017. 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. Every mathematical modeling enterprise has four aspects: the content of the application field, the mathematical formulation and analysis, the analytical and computational methods (which often involve high-performance computing), and the interpretation and analysis of the results. Through extensive research, graduates of this program will have the expertise not only to use the tools of mathematical modeling in various application settings, but also to contribute in creative and innovative ways to solve complex interdisciplinary problems and to communicate effectively with domain experts in various fields. Plan of study The degree requires at least 60 credit hours of course work and research. The curriculum consists of three required graduate common courses, three required graduate concentration courses, a course in scientific computing and high-performance computing (HPC), elective courses focused on the student’s chosen research concentration, and a doctoral dissertation. At least 30 credit hours of course work, including the common curriculum, is required. In addition, at least 30 credit hours of research, including the Graduate Research Seminar and an interdisciplinary internship outside of RIT, is required. At least three years... [-]

PhD In Mathematics

Universidade de Évora

Campus Full time 4 years October 2017 Portugal Évora

Advanced training in theoretical and applied mathematics with an emphasis on Algebra and logic (logic, non-standard analysis, algebra, theory of numbers, encryption), analysis (differential equations, calculus of variations and optimal control, optimization, dynamic systems, numerical applications) and Statistics (statistics, operational research, probability). [+]

PRESENTATION Advanced training in theoretical and applied mathematics with an emphasis on Algebra and logic (logic, non-standard analysis, algebra, theory of numbers, encryption), analysis (differential equations, calculus of variations and optimal control, optimization, dynamic systems, numerical applications) and Statistics (statistics, operational research, probability). In the context of the thesis is required in-depth study of a part of mathematics and / or their applications in order to cross the border of mathematical knowledge to solve problem without open and / or to start a new theory. targeted capabilities: formulate theorem new mathematical concepts and / or mathematically model in the various contexts of application, in-depth knowledge and assimilation of advanced mathematical theory of parts, know how to use successfully computerized means, interpret and communicate mathematical results of scientific texts, display results own research, write publishable scientific articles in prestigious scientific journals. Careers Teaching in the national hi international higher education; scientific research career in national and international centers; senior management of public enterprises or institutions in the sphere of applications of mathematics such as: Banks, Insurance, Consulting, Data Analysis, Statistical Analysis. [-]

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. [+]

PhDs in Mathematics. 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... [-]

PhD in Mathematics Applied for Economics and Management

ISEG - Lisbon School of Economics & Management

Campus Full time 3 years September 2017 Portugal Lisbon

The PhD Programme in Applied Mathematics for Economics and Management is designed to meet the needs of those who wish to enhance their knowledge of mathematical methods and techniques in order to make original contributions in a particular field or to develop and implement solutions for problems in the areas of Economics and Management. [+]

PhD in Mathematics Applied for Economics and Management

This degree is useful for those who want to pursue an academic career, or who wish to carry out research, as well as for those who want to further their education and to learn the new techniques and scientific practices required for the pursuit of excellence in their professional lives in companies, or private or public institutions.

This course boasts highly qualified professors, particularly in the areas of Actuarial Science, Analysis, Dynamic Systems, Finance Econometrics, Finance Mathematics, Macro and Micro-Econometrics, Operational Research, Statistics and Time Series.

Host centers

The research undertaken in ISEG’s research centers provides important support for students in PhD programs.... [-]

Official Doctoral Program In Mathematical Methods And Numerical Simulation In Engineering And Applied Sciences

Universidade da Coruña

Campus Full time Part time 3 - 5 years September 2017 Spain + 1 more

The PhD Program in Mathematical Methods and Numerical Simulation in Engineering and Applied Sciences is an official university degree, imparted jointly by the three Galician universities, which form researchers in the field of mathematical modeling and numerical resolution of problems that arise in different industrial and Companies. [+]

PhDs in Mathematics. Introduction The Programme Doctoral Degree in Mathematical Methods and Numerical Simulation in Engineering and Applied Sciences Is an official university degree, taught jointly by the three Galician universities, which forms researchers in the field of mathematical modeling and numerical resolution of problems that arise in different industrial and business areas. In addition to the participating doctors from the three universities, it has the collaboration through an agreement of 27 companies and technological centers, which propose research topics of great relevance and topicality. Why study the degree At present, with the rapid evolution of engineering and applied sciences, it is evident the need to train specialists at the doctoral level in the modeling and numerical simulation of processes that come from the industrial or business scope, so that Impel from the university the transfer of knowledge and the incorporation of doctors to the R & D & I departments. These doctors will have training in mathematical modeling and simulation aimed at optimizing processes, reducing costs, improving product quality, designing technologies, increasing safety, reducing environmental pollution, valuing products, investments and financial risks, etc. Lines of investigation These are the lines of research of this doctoral program: Mathematical Analysis and Numerical Resolution of Equations in Partial Derivatives (EDP) and Ordinary Differential Equations (EDO) Modeling, analysis and numerical simulation of problems in applied sciences and engineering Modeling, analysis and numerical simulation of industrial and business problems Specific Training Complements In case the doctor does not have the complete previous training required... [-]

PhD in Mathematics

Koc University - Istanbul Turkey

Campus Full time September 2017 Turkey İstanbul

The department of Mathematics offers graduate courses leading to Ph.D. degree in Mathematics. The department emphasizes both pure and applied mathematics [+]

PhD in Mathematics

The department of Mathematics offers graduate courses leading to Ph.D. degree in Mathematics. The department emphasizes both pure and applied mathematics. Research in the department covers algebra, algebraic geometry, number theory, functional analysis, differential geometry, differential equations, combinatorics, topology, biomathematics, statistics, probability, stochastic analysis and mathematical physics. In addition to the following courses, students in this program can take any of the courses listed under the “M.S. in Mathematics” program or from other courses not listed here in accordance with their areas of specialization and subject to the approval of their advisors.... [-]

PhD in Mathematics

Universidade Lusófona de Humanidades e Tecnologias

Campus Full time 3 years October 2017 Portugal Lisbon

The Ph.D. programme aims to provide a solid scientific training in Mathematics, enabling the integration of students in the research activities carried out by the Centre for Research in Mathematics. [+]

PhD in Mathematics

Entrance Conditions

The following may apply for the Doctoral Programme:

a) People who hold a master's degree or legal equivalent degree;

b) People who hold a B.A., people who have an especially relevant school or scientific curriculum that is acknowledged as certifying capacity to obtain this study cycle by the Doctoral Programme's Scientific Committee;

c) People who have a school, scientific and professional curriculum that is acknowledged as certifying capacity to obtain this study cycle by the Doctoral Programmes Scientific Committee.

Objectives

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. 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. [-]

Doctor of Philosophy (PhD) in Mathematical Sciences

College of Engineering and Mathematical Sciences

Campus Full time September 2017 USA Burlington

The Department offers programs towards the Master of Science, Master of Science in Teaching, and the Doctor of Philosophy in Mathematical Sciences. There are two areas of concentration: pure mathematics and applied mathematics. The programs emphasize the interaction between these two areas and the common role of scientific computation. Students can take courses common to both areas, enabling them to gain an... [+]

PhDs in Mathematics. Doctor of Philosophy (PhD) in Mathematical Sciences The Department offers programs towards the Master of Science, Master of Science in Teaching, and the Doctor of Philosophy in Mathematical Sciences. There are two areas of concentration: pure mathematics and applied mathematics. The programs emphasize the interaction between these two areas and the common role of scientific computation. Students can take courses common to both areas, enabling them to gain an appreciation of the mathematical techniques and the connections between theory and applications. Department research interests include classical analysis, harmonic analysis, Fourier analysis, approximation theory, algebra, number theory, graph theory, combinatorics, fluid mechanics, biomathematics, differential equations, numerical analysis, and modeling. Requirements for Admission to Graduate Studies for the Degree of Doctor of Philosophy Because of the breadth of pure and applied mathematics, it is recognized that applicants for admission will have diverse backgrounds. Admission requirements are therefore flexible. Applicants should have demonstrated strength in either pure or applied mathematics, a bachelor's degree with a major in mathematics or a closely related discipline, and satisfactory scores on the general Graduate Record Examination. Requirements for Advancement to Candidacy for the Degree of Doctor of Philosophy Successful completion of three qualifying examinations, two written and one oral, in one of the areas of concentration. Minimum Degree Requirements for the Degree of Doctor of Philosophy Each student must complete the three qualifying exams and an approved plan of study including at least 75 credit hours in course work or dissertation research. The student... [-]

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. [+]

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 of Oxford (Oxford,... [-]

PhD in Applied Mathematics and Fuzzy Modelling

University of Ostrava

Campus Full time Part time 4 years September 2017 Czech Republic + 1 more

PhD students in Applied Mathematics and Fuzzy Modelling then choose one of the following specializations: Differential equations: geometric, variational, and optimization methods; Analytical number theory; Fuzzy modelling. [+]

PhDs in Mathematics. PhD students in Applied Mathematics and Fuzzy Modelling then choose one of the following specializations: Differential equations: geometric, variational, and optimization methods Analytical number theory Fuzzy modelling Ad 1) The study in the specialization “Differential Equations: Geometric, Variational, and Optimization Methods” of the PhD study field Applied Mathematics and Fuzzy Modelling focuses on one of the following areas: global variational analysis, differential equations on manifolds, differential invariants and natural Lagrange structures, optimization in abstract and infinite-dimensional spaces, stochastic-heuristic algorithms in global optimization. The study in this specialization also pursues applications, namely: applications in physics and engineering (variational principles, dynamical control and optimization, non-holonomic mechanics and field theory, real-life, everyday operational problems in business, industry, entrepreneurship, sustainable development, etc. The solution involves a mathematical formulation of the problem, (finding a suitable method for its solution), acquiring real data, and solving the problem with a practical recommendation based on the computed solution. The focus of the student is supported by electing at least two compulsory elective subjects of this specialization, where the student acquires deep theoretical knowledge of mathematical theories and methods (topology, differential geometry, global analysis, geometric mechanics, variational equations, stochastic algorithms) of the given areas, and the ability to use the modern methods and means of mathematics to solve real problems. Ad 2) The study in the specialization “Analytical Methods in Number Theory” of the PhD study field Applied Mathematics and Fuzzy Modelling focuses on one of the following areas: Irrationality of infinite series Diophantine approximations Densities... [-]

PhD in Multidimensional Complex Analysis

Siberian Federal University

Campus Full time 4 years September 2017 Russia Krasnoyarsk

Research in multidimensional complex analysis at Siberian Federal University is about several topics. The overarching theme is the interaction between complex analysis and other areas of mathematics and physics. For example, methods and techniques of functional analysis are applied to the study of PDEs in domains of complex space. Algebraic geometry plays an important role in the study of distribution of complex algebraic and analytic sets and its applications in physics. Alternatively, analytic methods are used in the theory of algebraic and hypergeometric functions, in the description of the structure of discriminantal sets. Other examples include the study of multidimensional difference equations, analytic continuation of functions and sets. Programme Leader Professor Tsikh worked at the universities of Stockholm, Bordeaux, Berlin, Calabria (Italy), Armidel (Australia), Max Planck Institute in Bonn, Institut Mittag-Leffler in Stockholm. Research interests: complex analysis, algebraic geometry, tropical geometry, signal processing, math- ematical physics (superstring theory, thermodynamics) Entry requirements: Master’s degree (or equivalent) in Mathematics, Physics, or Computer Science; desired qualifications: good knowledge of mathematical analysis; an adequate level of English proficiency (certificate or other document) Apply to The Centre for International Education and Certified Testing for a certificate if you do not have it, the Russian language preparatory course is available. Accommodation: On-campus accommodation is available: single ensuite room 45 € per month, twin ensuite room 30 € per month. Practicalities: Airport transfer, invitation letter for a Russian study visa and an optional survival course of Russian as a foreign language are provided by the University. Research... [-]

PhD in Business Administration and Quantitative Methods

Carlos III University of Madrid

Campus Full time 2 - 3 years September 2017 Spain Madrid + 5 more

The PhD in Business Administration and Quantitative Methods is offered jointly by the Departments of Business Administration and Statistics. [+]

PhD in Business Administration and Quantitative Methods

The PhD in Business Administration and Quantitative Methods is offered jointly by the Departments of Business Administration and Statistics. The mission of the program is to develop leading scholars in finance, management, marketing, accounting, operations research, statistics and econometrics for careers in research and teaching at leading universities and business schools. A broad knowledge of business ensures that students fully appreciate the interdependencies and complexity of management problems. At the same time, a strong training in quantitative methods introduces them to the possibility of interdisciplinary and qualified empirical research.... [-]

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. 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 Applied Statistics and Empirical Methods

University of Göttingen

Campus Full time 6 semesters October 2017 Germany Göttingen + 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. [+]

PhDs in Mathematics. 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... [-]

Doctorate Degrees in Mathematics

34 Results in Mathematics

34 Results in Mathematics Filter

Mathematics

Location

Location

Study type

Study type

Pace

Pace