Requirements for the PhD program often involve the student having already obtained a Master’s degree. Additionally, a thesis or dissertation primarily consisting of original academic research must be submitted. In some countries, this work may even need to be defended in front of a panel.

If you are practicing within the world of mathematics, you need to know the best course which canto help you advance your knowledge in this subject. You must be a holder of a Masters degree in the related area. It is a course that opens up your career in the statistics and the general mathematics profession.

PhD Program in Mathematics

Campus
Full time
3 years
September 2019
Kazakhstan
Almaty

Doctoral program on specialty "Mathematical and Computer Modeling" is created for a further independent research and defense of doctoral dissertation at the university. Within the frameworks of the course, Ph.D. students study classical and modern approaches of mathematics such as methods of functional analysis, mathematical models of physical processes, a more advanced course of differential equations, in particular, derived equations, etc. In addition, courses on high-productive calculations and computer modeling are given. Thesis Board for the defense of doctoral dissertations on specialty "Mathematical and Computer Modeling" is functioning at our university. [+]

Campus
Full time
3 years
September 2019
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. [+]

Campus
February 2019
Botswana
Palapye

PhD Thesis Research in Pure & Applied Mathematics [+]

Campus
Full time
4 years
October 2019
Portugal
Evora

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). [+]

Campus
Full time
September 2019
Turkey
Istanbul

Graduate education in computational science and engineering (CMSE) at Koç University is offered through an interdisciplinary program among the Departments of the College of Arts and Sciences and the College of Engineering. [+]

Campus
Full time
3 years
October 2019
Italy
Pavia

The Ph.D. in “Computational Mathematics and Decision Sciences” aims at offering graduate students solid skills in Computational Mathematics, Computational Physics, Scientific Computing, Statistics, Decision Sciences, Optimization, Machine Learning, as well as an interdisciplinary view of Applied Mathematics, Physics and decision processes under uncertainty. The program gives a solid theoretical and computational grounding for high-level research in universities, international research institutions, and industry. [+]

Campus
Full time
September 2019
Saudi Arabia
Thuwal

The Applied Mathematics and Computational Sciences (AMCS) program educates students to construct and solve Mathematical and Computational models of real-world problems. [+]

Campus
September 2019
United Arab Emirates
Academic City

The School of Mathematical and Computer Sciences is pleased in offering Ph.D. in Computer science by research to students on the Dubai campus. [+]

Campus
Full time
Part time
3 - 6 years
September 2019
Hong Kong

The PhD programme 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. [+]

Campus
Full time
February 2019
South Africa
Johannesburg

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. [+]

Campus
Full time
3 years
September 2019
Portugal
Lisbon

The Ph.D. 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. [+]

Campus
Full time
48 months
September 2019
Canada
Lethbridge

The Ph.D. program is a four-year program. The format for the degree consists of coursework and a thesis. The student must pass a written and an oral comprehensive examination within the first two years of the program. [+]

Campus
Full time
Part time
September 2019
Spain
Santa Cruz de Tenerife

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. [+]

Campus
Full time
Part time
3 - 5 years
September 2019
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. [+]

Campus
Full time
4 years
September 2019
Turkey
Izmir

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. [+]