Research Focus
- Mathematic analysis and application of mathematics, mathematical theory of differential equations, numerical analysis and reconciliation nature.
- Mathematic modelling, which studies practical problems through theoretical analysis and computational methods, particularly in the areas of physical systems, fluids, materials science, etc.
- Innovative applications of mathematical methods and numerical algorithms, including algorithms and numerical techniques for simulation of complex dynamic systems, in particular multiscale modelling and computational methods.
- The cross-cutting areas of mathematics and physics, including hydrodynamics, elastics, heat transfer, etc., are interested in mathematical modelling and quantitative analysis.
- The combination of applied mathematics and engineering disciplines promotes the application of mathematics in practical engineering issues and solves mathematical difficulties in engineering.
Programme Structure and Funding
The project is a full-time Ph.D. project and is taught in 4-5 years (48-60 months). Only 2 recruits.
Suitable Academic Backgrounds
Mathematics and applied mathematics, statistics, applied mathematics, physics, engineering mechanics, fluids, materials sciences, computer science, engineering related subjects
Entry Requirements
- Academic background: Bachelor of Science in mathematics, natural sciences, engineering, applied sciences or social sciences with solid mathematical background
- Accomplishment requirements: GPA≥ 3.0 (and average performance point 3.0 for all mathematical or quantitative related courses)
- Language requirements: TOEFL: 90; or IELTS: 6.5 (no component below 6.0); Exempted language of degree taught in English in an English-speaking country
- Recommendation: provide 3
Application Materials
- Curricula vitae;
- Undergraduate/master’s report card;
- English report card;
- GRE Performance report (not required);
- A letter of recommendation 3;
- Statement of purpose
Application Period
Deadline for application for spring: 10 Fall deadline for application for 15: 15 12 First round 5 1 Final cycle
Application Process
Up to the end of the month of 2 for applicants to submit their English curriculum vitae and related materials, we will conduct an initial assessment of 3 who will be invited to interview potential mentors for the month of 4 and will be required to formally present the application 5-6 for short-term candidates through the network of officials for the month of 7 for interviews organized by the College Admission Board for the month of 7: above is the time point of the process for final turn-in applications in the autumn.
Tuition and Living Costs
Living costs
Approximately US$ 17,010/year (depending on individual circumstances).
- Tuition fees: 2025-26 school year, 14,951/year (Note: Tuition fees increase slightly per year).
Career Prospects
The Ph.D. in Applied Mathematics and Statistics at Stone Creek, State University of New York, is well known for its solid theoretical and interdisciplinary training, and graduates are popular in the job market and have broad development prospects. Overall, their career paths are diverse and rising, especially in data-driven industries, where demand is strong.
According to the United States Bureau of Labor Statistics and related industry reports, the median annual salary of professionals with doctoral degrees is significantly above average, usually from 100,000 to 150,000 dollars, with a higher pay potential for seniors or for entering a particular area of higher pay. In terms of career choices, doctoral graduates mainly go to the following areas:
- Science, technology and industry: this is one of the most important directions.
Graduates can perform high-tech positions in top technology companies (e.g. Google, Microsoft, Amazon, Meta) such as machine learning, data science, algorithm research, quantitative analysis, and solve complex problems such as referral systems, computer vision, and natural language processing. - Finance and counselling: in investment companies, hedge funds, private equity and financial science and technology companies, doctoral doctors play the role of modelling and statistical advantage in quantitative transactions, risk modelling, pricing of financial derivatives and actuarial analysis, which are central intellectual support for financial innovation.
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Academia and high-end research institutions: Some graduates continue to advance the theoretical frontier by entering university or research-type colleges. Many are also employed in government laboratories (such as national laboratories) and non-profit research institutions for modelling and simulation of strategic national topics such as defence, energy and climate.
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Biomedicine and health data science: With a strong statistical analytical capacity, graduates play a key role in pharmaceutical companies, biotechnology enterprises and medical research centres, and are responsible for clinical trial design, genomic data analysis, epidemiological modelling and major medical health data mining.
