Ph.D. In Mathematics And Statistics Programs

A Ph.D. In Mathematics can either be a thesis or non-thesis program. If you are looking for phd in mathematics salary, then you might have to prepare and include your other relevant credentials along with your experience sheet and resume in the application packets. Statistics Phd is generally announced as numbers i.e., something like 12, 35, 3 etc which help the candidates know the minimum marks they need to get through to the next level of selection process. If you are interested in Phd in statistics at university of toronto, visit this website now!

The article below is a review of phd in mathematics and statistics programs.   Choose the right program for you, university of toronto mathematics phd programs.

Ph.D. In Mathematics And Statistics Programs

PhD in Mathematics and Statistics programs award graduate students the highest level of scholarship in their field. In addition they typically indicate they have made original research contributions. For students aspiring to an academic position or research-oriented role as an analyst, the Ph.D. is considered the academic requirement. If you aspire to potential upward mobility in a current job, a math or statistics Ph.D. warrants consideration.

PhD in Mathematics and Statistics: Program Basics

At the doctorate level, many Ph.D. in Mathematics and Statistics programs focus either on the pure or applied forms of their disciplines (e.g. applied statistics, pure statistics, applied mathematics, pure mathematics). Mathematics is a critical component of natural science, engineering, medicine, finance and social sciences.

Prospective doctoral students may be required to have a bachelor’s degree, letters of recommendation, qualifying GRE scores, and any prerequisite math, statistics or computer science courses. Also, coursework in biology, chemistry or the health sciences may be useful if you plan on entering the pharmaceutical industry. The culmination of a doctorate degree is a student-submitted dissertation.

Types of Statistics and Math Ph.D. Programs

Ph.D. Math and Statistics Degrees are offered in different subjects, depending on your professional or academic interests. If you refer to the GradSchools.com directory these are simplified into:

  • Actuarial Science & Financial Engineering
  • Mathematics
  • Statistics & Data Analytics

phd in mathematics online

At the doctorate level, many Ph.D. in Mathematics and Statistics programs focus either on the pure or applied forms of their disciplines (e.g. applied statistics, pure statistics, applied mathematics, pure mathematics). Mathematics is a critical component of natural science, engineering, medicine, finance and social sciences.

Prospective doctoral students may be required to have a bachelor’s degree, letters of recommendation, qualifying GRE scores, and any prerequisite math, statistics or computer science courses. Also, coursework in biology, chemistry or the health sciences may be useful if you plan on entering the pharmaceutical industry. The culmination of a doctorate degree is a student-submitted dissertation.

PhD in Mathematical Statistics

University of 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.

A Ph.D. 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 specialization.

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 in Data Science

Northcentral University

The Doctor of Philosophy in Data Science program at Northcentral University is a research-oriented program designed to help you learn how to organize, research and leverage data to drive growth. This hands-on program covers many important topics such as big data integration, quantitative research design, databases and business intelligence. Additionally, you’ll explore the theories, concepts and tools of the emerging area of data visualization. You will also have the opportunity to gain practical, hands-on experience during the course of the program. The curriculum for our PhD in Data Science program follows the CRISP structure and was developed by industry experts to reflect current industry needs.

PhD in Probability and Statistics, Econometrics and Financial Mathematics

Charles University Faculty of Mathematics and Physics

The program is based on a mathematical background, which involves probability theory, stochastic processes, mathematical and computational statistics, optimization, econometrics, operational research, financial and insurance mathematics. The connected creative work is represented especially by the basic mathematical research, and partly by applications, e.g. in finance and insurance. The doctoral students enhance their knowledge in advanced courses and seminars, according to their individual study plans. Under the supervision of their advisor, they provide research work in a given topic and publish their results and presents them at scientific conferences. The study branch will prepare experts who can become successors of faculty professors, others will profit from their mathematical thought in practice.

Doctor of Computer Science – Big Data Analytics (Executive Format)

Colorado Technical University

In today’s data-driven industries, companies that develop the capacity to turn large volumes of data into useful knowledge can develop a competitive advantage. This is creating a new area of expertise and specialization for data scientists with the advanced skills to propose solutions to issues related to big data analytics. The CTU Doctor of Computer Science with a concentration in Big Data Analytics is designed to develop thought leaders who have mastered the tools and techniques to analyze huge amounts of distributed, unstructured data in order to produce meaningful insight and automation for their respective organizations. In today’s driven,  today’s Industries, companies that develop the capacity to turn large volumes of data into useful knowledge can develop a competitive advantage. This is creating a new area of expertise and specialization for data scientists with the advanced skills to propose solutions to issues related to big data analytics.

Official doctoral program in statistics and operational research

Universidade da Coruña

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.

Mathematical Sciences – Doctorate

Binghamton University (S.U.N.Y.)

The program usually requires two years of study. Ph.D. students prepare for university or college teaching and for high-level employment in government and industry. The duration of the program varies based on the student. A previous M.A. is not a requirement for entrance to the Ph.D. program, so students with exemplary undergraduate experience are encouraged to apply. The University also offers education degrees for students wishing to teach mathematics in the state of New York at a high school level. Visit the Graduate School of Education’s website for specific information about the M.A.T. and M.S.Ed. programs.

Ph.D. in Statistics (STAT)

King Abdullah University of Science and Technology

The Statistics (STAT) program educates students to analyze and model complex real-world problems arising in modern Statistical Data Science. Two degrees are offered: the M.S. degree (under either a Thesis or a Non-Thesis option) and the Ph.D. degree. Admission to one degree does not guarantee transfer to another. All students in the M.S. and Ph.D. programs are guided by a Faculty Advisor to develop their program of study.

Mathematics and Statistics

McGill University

The M.Sc. program is offered in all subjects in Mathematics, including Applied Mathematics and Statistics, and is meant primarily as a preparation for the Ph.D. program. The Applied M.Sc. programs are designed for students intending to work in industry and business. The Ph.D. program is offered in Algebra and Number Theory, Analysis, Applied Mathematics and Optimization, Category Theory and Mathematical Logic, Combinatorics, Geometry and Topology, Mathematical Physics, Numerical Analysis and Differential Equations, Statistics and Probability.

Doctorate in Mathematics and Statistics

Universidad de La LagunaSanta Cruz de Tenerife , Spain

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.

phd in mathematics salary

Job TitleMedian Salary (2020)*Job Growth (2020-2030)*
Postsecondary Education Administrators$97,5008%
Actuaries$111,03024%
Mathematicians and Statisticians$93,29033%
Operations Research Analysts$86,20025%
Postsecondary Mathematics Science Teachers$73,6506%

university of toronto statistics phd

Program Description

Students in the PhD program can conduct research in the fields of 1) Statistical Theory and Applications or 2) Probability or 3) Actuarial Science and Mathematical Finance. The research conducted in the department is vast and covers a diverse set of areas in theoretical and applied aspects of Statistical Sciences. Students have the opportunity to work in multidisciplinary areas and team up with researchers in, for example, Biostatistics, Computer Science, Economics, Engineering, and the Rotman School of Management. The main purpose of the program is to prepare students for pursuing advanced research both in academia and in research institutes.

Applicants may enter the PhD program via one of two routes: 1) following completion of an appropriate master’s degree or 2) direct entry after completing an appropriate bachelor’s degree (excluding Actuarial Science and Mathematical Finance).

Fields:
1) Statistical Theory and Applications;
2) Probability

PhD Program

Minimum Admission Requirements

  • Admission to the PhD program is competitive, and applicants are admitted under the General Regulations of the School of Graduate Studies.
  • Applicants may be accepted with a master’s degree in statistics from a recognized university with at least a B+ average. Applicants with degrees in biostatistics, computer science, economics, engineering, mathematics, physics, or any discipline where there is a significant quantitative component will be also be considered.
  • Three letters of recommendation.
  • A curriculum vitae.
  • A letter of intent or personal statement outlining goals for graduate studies.
  • Applicants whose primary language is not English and who graduated from a university where the language of instruction and examination was not English must demonstrate proficiency in English. See General Regulations section 4.3 for requirements.

Program Requirements

Course Requirements
  • During Year 1, students are required to complete the following 3.0 full-course equivalents (FCEs):
    • STA2111H Probability Theory I.
    • STA2211H Probability Theory II.
    • STA2101H Methods of Applied Statistics I.
    • STA2201H Methods of Applied Statistics II.
    • STA3000Y Advanced Theory of Statistics.
Comprehensive Examination Requirements
  • Within Years 1 and 2, students must complete a two-part comprehensive examination: 1) an in-class written comprehensive exam and 2) a research comprehensive exam.
    • Students must attempt the in-class written comprehensive by the end of Year 1. If a student fails this portion of the comprehensive exam, one further attempt will be allowed by the end of Year 2. Students who achieve A or A+ grades in all required coursework are exempt from the in-class written exam.
    • Students must attempt the research comprehensive exam by the beginning of Year 2, which includes a technical report and an oral presentation. If a student fails this portion of the comprehensive exam, one further attempt will be allowed at the end of Year 2.
    • Students must pass both the in-class written exam and the research exam to continue in the program.
Thesis Requirements

Conducting original research is the most important part of doctoral work. The thesis document must constitute significant and original contribution to the field. Students will have yearly meetings with a committee of no less than three faculty members to assess their progress. The completed thesis must be presented and defended within the Department of Statistical Sciences in addition to being presented and defended at the School of Graduate Studies.

Residency Requirements

Students must also satisfy a two-year residency requirement, whereby students must be on campus full-time and consequently in geographical proximity to be able to participate fully in the University activities associated with the program.

Program Length

4 years

Time Limit

6 years

PhD Program (Direct-Entry)

Minimum Admission Requirements

  • Admission to the PhD program is competitive, and applicants are admitted under the General Regulations of the School of Graduate Studies.
  • Applicants may be accepted via direct entry with a bachelor’s degree in statistics from a recognized university with at least an A– average. The department also encourages applicants from biostatistics, computer science, economics, engineering, mathematics, physics, or any discipline where there is a significant quantitative component.
  • Three letters of recommendation.
  • A curriculum vitae.
  • A letter of intent or personal statement outlining goals for graduate studies.
  • Applicants whose primary language is not English and who graduated from a university where the language of instruction and examination was not English must demonstrate proficiency in English. See General Regulations section 4.3 for requirements.

Program Requirements

Course Requirements
  • During Year 1, students are required to complete the following 3.0 full-course equivalents (FCEs):
    • STA2111H Probability Theory I.
    • STA2211H Probability Theory II.
    • STA2101H Methods of Applied Statistics I.
    • STA2201H Methods of Applied Statistics II.
    • STA3000Y Advanced Theory of Statistics.
  • Students must complete an additional 2.0 FCEs at the graduate level. The additional courses must be approved by the Associate Chair of Graduate Studies.
Comprehensive Examination Requirements
  • Within Years 1 and 2, students must complete a two-part comprehensive examination: 1) an in-class written comprehensive exam and 2) a research comprehensive exam.
    • Students must attempt the in-class written comprehensive by the end of Year 1. If a student fails this portion of the comprehensive exam, one further attempt will be allowed by the end of Year 2. Students who achieve A or A+ grades in all required coursework are exempt from the in-class written exam.
    • Students must attempt the research comprehensive exam by the beginning of Year 2, which includes a technical report and an oral presentation. If a student fails this portion of the comprehensive exam, one further attempt will be allowed at the end of Year 2.
    • Students must pass both the in-class written exam and the research exam to continue in the program.
Thesis Requirements

Conducting original research is the most important part of doctoral work. The thesis document must constitute significant and original contribution to the field. Students will have yearly meetings with a committee of no less than three faculty members to assess their progress. The completed thesis must be presented and defended within the Department of Statistical Sciences in addition to being presented and defended at the School of Graduate Studies.

Residency Requirements

Students must also satisfy a three-year residency requirement, whereby students must be on campus full-time and consequently in geographical proximity to be able to participate fully in the University activities associated with the program.

Program Length

5 years

Time Limit

7 years

Field: Actuarial Science and Mathematical Finance

PhD Program

Minimum Admission Requirements

  • Admission to the PhD program is competitive, and applicants are admitted under the General Regulations of the School of Graduate Studies.
  • Applicants may be accepted with a master’s degree in statistics from a recognized university with at least a B+ average. Applicants with degrees in biostatistics, computer science, economics, engineering, mathematics, physics, or any discipline where there is a significant quantitative component will be also be considered.
  • Three letters of recommendation.
  • A curriculum vitae.
  • A letter of intent or personal statement outlining goals for graduate studies.
  • Applicants whose primary language is not English and who graduated from a university where the language of instruction and examination was not English must demonstrate proficiency in English. See General Regulations section 4.3 for requirements.

Program Requirements

Course Requirements
  • During Year 1, students must complete the following 3.0 full-course equivalents (FCEs):
    • All of:
      • STA2111H Probability Theory I,
      • STA2211H Probability Theory II, and
      • STA2503H Applied Probability for Mathematical Finance.
    • One of:
      • STA4246H Research Topics in Mathematical Finance or
      • STA2501H Mathematical Risk Theory.
    • Either:
      • STA3000Y Advanced Theory of Statistics or
      • STA2101H Methods of Applied Statistics I and
      • STA2201H Methods of Applied Statistics II.
Comprehensive Examination Requirements
  • Within Years 1 and 2, students must complete a two-part comprehensive examination: 1) an in-class written comprehensive exam and 2) a research comprehensive exam.
    • Students must attempt the in-class written comprehensive by the end of Year 1. If a student fails this portion of the comprehensive exam, one further attempt will be allowed by the end of Year 2. Students who achieve A or A+ grades in all required coursework are exempt from the in-class written exam.
    • Students must attempt the research comprehensive exam by the beginning of Year 2, which includes a technical report and an oral presentation. If a student fails this portion of the comprehensive exam, one further attempt will be allowed at the end of Year 2.
    • Students must pass both the in-class written exam and the research exam to continue in the program.
Thesis Requirements

Conducting original research is the most important part of doctoral work. The thesis document must constitute significant and original contribution to the field. Students will have yearly meetings with a committee of no less than three faculty members to assess their progress. The completed thesis must be presented and defended within the Department of Statistical Sciences in addition to being presented and defended at the School of Graduate Studies.

Residency Requirements

Students must also satisfy a three-year residency requirement, whereby students must be on campus full-time and consequently in geographical proximity to be able to participate fully in the University activities associated with the program.

Program Length

4 years

Time Limit

6 years

phd in mathematics in germany

 PhD position in theoretical physics/biophysics: how parasites hijack immune cells

 Ludwig Maximilian University of Munich

Center for NanoScience (CeNS)

Parasites like Toxoplasma gondii hijack immune cells of the infected host and employ them as shuttle for migration. Moreover, parasites even replicate within immune cells, thus turning them into “Trojan horses”.  

 Fully-funded PhD positions in several natural sciences & engineering disciplines

 Hector Fellow Academy

Join an internationally renowned scientific community with the Hector Fellow

PhD program. PhD students benefit not only from the experience of the program, but also from the network of Hector Fellows. 

 20 Funded PhD Positions in the IMPRS-CellDevoSys – Integrating Biology, Physics, Chemistry & Computer Science

 International Max Planck Research School for Cell, Developmental, and Systems Biology

A 4-year PhD Program involving 3 renowned international institutes. the Max Planck Institute of Molecular Cell Biology and Genetics, the Center for Systems Biology Dresden, and the Max Planck Institute for the Physics of Complex Systems.

 20 Funded PhD Positions in the IMPRS-CellDevoSys – Integrating Biology, Physics, Chemistry & Computer Science

 Max Planck Society

IMPRS for Cell, Developmental and Systems Biology

A 4-year PhD Program involving 3 renowned international institutes. the Max Planck Institute of Molecular Cell Biology and Genetics, the Center for Systems Biology Dresden, and the Max Planck Institute for the Physics of Complex Systems.

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