The United States hosts 48 Master's programmes in Mathematics & Statistics across 23 universities, offering graduate students rigorous training in pure mathematics, applied mathematics, and statistical methods. Prestigious institutions including Duke University, Georgetown University, University of Notre Dame, and North Carolina State University are among those offering graduate programmes in this field. Tuition ranges from roughly €26,000 to €54,000 per year.
US Master's programmes in Mathematics & Statistics typically span one to two years and include options in pure mathematics, probability, data science, biostatistics, and financial mathematics. Graduates are in strong demand across finance, technology, research, and government sectors. Many programmes offer thesis and non-thesis tracks, allowing students to tailor their studies toward either continued doctoral research or immediate industry employment.
This textbook provides a modern and accessible exploration of module theory, specifically designed for graduate students in algebra or those who require algebraic tools for their research. Authored by specialists in the field, it aims to be a comprehensive resource for understanding this complex area of mathematics. The book features a detailed presentation of concepts, supported by a substantial collection of worked-out examples, illustrative figures, and practice exercises. It is intended to serve as a primary text for graduate-level courses and a valuable reference for students and researchers seeking to deepen their knowledge of module theory.
The Department of Applied Mathematics and Statistics at Stony Brook University offers robust graduate programs designed to equip students with advanced skills in mathematical modeling, statistical analysis, and computational techniques. Students can choose from specialized tracks that address the growing demand for expertise in areas such as computational applied mathematics, computational biology, operations research, quantitative finance, statistics, and data science. These programs emphasize a strong theoretical foundation combined with practical application to solve complex real-world problems across various industries. Our graduate studies lead to both Master of Science (MS) and Doctor of Philosophy (PhD) degrees. The curriculum is structured to provide in-depth knowledge and hands-on experience. The Data Science program, a joint offering with the Department of Computer Science, allows students to delve into unlocking insights from data, mastering fundamentals of math, computer science, and statistics, and utilizing advanced tools and algorithms. The department boasts a dedicated faculty and a vibrant community of graduate students engaged in cutting-edge research. Many faculty members actively involve graduate students in their research projects, offering invaluable opportunities for professional development and exposure to diverse fields of study.

The Master of Science (M.S.) in Applied Statistics program at the University of Michigan provides students with a strong foundation in statistical theory and methods, preparing them for careers in data analysis and statistical application across various fields. The program is designed to equip students with the skills to tackle complex data challenges, interpret results, and communicate findings effectively.
The Biomathematics program at UCLA offers Master of Science (M.S.) and Doctor of Philosophy (Ph.D.) degrees. This interdisciplinary program focuses on the application of mathematical and computational methods to biological and medical research. Students have the flexibility to tailor their studies to their specific research interests within areas like applied mathematics, biomathematics, and statistics, combined with diverse biomedical specialties. The program emphasizes individualized curricula and provides strong advising to guide students through their academic and research journeys.
The Biomathematics MS, PhD program at UCLA offers advanced study at the intersection of mathematics and biology. This program equips students with the quantitative skills necessary to address complex biological problems using mathematical modeling and computational approaches. Graduates are prepared for research and academic careers in diverse fields requiring interdisciplinary expertise. Students in the Biomathematics program engage in rigorous coursework and research, developing proficiency in areas such as differential equations, probability, statistics, and computational methods as applied to biological systems. The curriculum is designed to foster critical thinking and problem-solving abilities, enabling students to contribute to the rapidly evolving landscape of biological sciences.
The Department of Computational Medicine at UCLA offers Master of Science (MS) and Doctor of Philosophy (PhD) degrees in Biomathematics. The MS program is primarily designed as a stepping stone to further graduate studies in Biomathematics. While direct admission to the MS program is uncommon, it can be granted under special circumstances. Students in the MS program will work with assigned advisors to tailor their studies in applied mathematics, biomathematics, and statistics, aligning with their specific research interests in diverse biomedical fields. The PhD program in Biomathematics provides advanced training for students seeking to become leaders in the interdisciplinary field of biomathematics. The program emphasizes rigorous coursework in core methodology, applied modeling in biomedicine, biological sciences, and applied mathematics/statistics. Students engage in independent research and are required to complete a teaching preceptorship.
The Graduate Group in Biostatistics (GGB) at UC Davis offers interdisciplinary graduate programs designed to equip students with strong foundational knowledge and practical skills in biostatistical core disciplines and theory. The programs focus on state-of-the-art data analysis techniques, providing substantial exposure to biological and epidemiological sciences, alongside a robust background in theoretical modeling, statistical techniques, and quantitative/computational methods. Graduates are prepared for diverse careers in fields such as bioinformatics, environmental toxicology, medical research, drug development, and public health statistics. The Ph.D. program aims to enable students to address critical problems in genomics, medicine, agriculture, and environmental health by developing innovative quantitative models and advanced statistical methodologies. The M.S. program focuses on preparing students for advanced data analysis in life sciences problems through coursework and a comprehensive examination, without a dissertation requirement.
The Biostatistics program at UC Davis offers graduate studies leading to Master of Science (M.S.) and Doctor of Philosophy (Ph.D.) degrees. This field utilizes quantitative methods to address problems in the life sciences across a wide range of areas. The program aims to provide students with a strong foundation in core biostatistical theory and methods, advanced skills for data analysis, substantial exposure to biological and epidemiological sciences, and a robust background in theoretical modeling, statistical techniques, and computational methods. Graduates are prepared for interdisciplinary careers in fields such as bioinformatics, environmental toxicology, biological and medical stochastic modeling, clinical trials, drug development, and epidemiological statistics. The program leverages the expertise of the Biostatistics faculty at UC Davis.
The EdM in Mathematics Education is designed for current or aspiring teachers who are passionate about teaching and aim to enhance their academic knowledge and instructional skills. This program focuses on the latest research, curricula, methodologies, and theories in mathematics education. It is particularly suitable for individuals who already hold a teaching license or do not intend to pursue one, as it does not lead to initial licensure. The curriculum is flexible and can be tailored to individual student needs and backgrounds. Full-time students can complete the degree in one academic year, while many teachers opt to study part-time while continuing their careers.
The University of Washington offers graduate programs in Applied Mathematics, including research-based Master of Science (MS) and Doctor of Philosophy (PhD) degrees, as well as professional Master of Science (MS) programs. These programs are designed to provide students with a strong foundation in mathematical theory and its applications, preparing them for advanced research or industry roles. The university emphasizes both theoretical understanding and practical application of mathematical concepts.
The University of Washington Department of Mathematics offers Master's and PhD programs for students seeking to deepen their mathematical knowledge. The Master's program is designed to strengthen foundational mathematical understanding, while the PhD program prepares students for careers in advanced mathematics. Both programs emphasize a rigorous curriculum and are offered on campus.
Purdue University's Department of Statistics offers graduate programs focused on both theoretical and applied statistics. The department is known for its strong interdisciplinary research, with faculty actively engaged in cutting-edge areas such as bioinformatics, machine learning, data mining, and computational finance. Students have the opportunity to participate in Statistics in the Community (StatCom), a volunteer consulting organization that provides practical experience and community engagement. The programs are designed to address globally significant scientific issues, preparing graduates for diverse careers in industry, government, academia, and non-profit sectors.
The Measurement and Statistics program at the University of Washington offers both a Master of Education (M.Ed.) and a Doctor of Philosophy (Ph.D.) degree. Both programs focus on preparing students to become leaders in the research and practice of cutting-edge psychometrics and applied statistical modeling. The M.Ed. program is designed as a two-year, full-time or part-time program to equip graduates with advanced skills for the job market, while the Ph.D. program is for students aiming to become scholars and experts in a specific quantitative methods area, typically completed in 3-5 years. Students in the M.Ed. program gain expertise in analyzing complex data using R, developing and refining assessments, and understanding the quantitative methodology landscape. Ph.D. students delve deeper into areas such as item response theory, structural equation modeling, multilevel modeling, Monte Carlo simulation, and validity theory. The program emphasizes educational equity and quality through advanced quantitative methods.
The Master of Arts in Statistics program offers advanced training in core statistical theory and methods. It combines traditional coursework with electives focusing on modern computational and data science topics. This program is designed to prepare students for careers in education or industry, or to serve as a foundation for further graduate studies towards a PhD. Graduates will demonstrate a strong understanding of probability theory, mathematical statistics, stochastic processes, and the ability to apply linear and generalized linear models to real-world data.
The School of Professional Development at Stony Brook University offers a Master of Arts in Teaching (MAT) program designed to prepare graduate students for careers in education. This program provides a pathway to teacher certification in various subject areas. Additionally, the Department of Linguistics offers a Master of Arts in Teaching English to Speakers of Other Languages (MAT TESOL). For current Stony Brook undergraduates, combined Bachelor's/Master's degree programs leading to teacher certification are also available.
The Master of Biostatistics program at Duke University equips students with the analytical skills, biological insight, and communication abilities needed to thrive in today's data-driven biomedical research landscape. Located within a leading institution for health professions and biomedical education, this program offers a unique, health-care-centric approach, being the only biostatistics master's program based in a School of Medicine. Students benefit from early engagement with clinical and translational investigators, an active, learner-centered curriculum, and opportunities to practice in authentic research environments. The program focuses on uncovering the genetic roots of disease, optimizing drug therapies, and reducing healthcare costs, preparing graduates to drive innovation and improve lives.
The Master of Public Health (MPH) in Epidemiology program at Texas A&M University equips students with the skills to become leaders in understanding, controlling, and preventing diseases within populations. This program focuses on applying fundamental epidemiologic and biostatistical methods to public health practice, policy, and research. Graduates are prepared for impactful careers in various settings, contributing to global health leadership. The department fosters a supportive environment that encourages exploration and discovery through mentorship and research opportunities.
The Master of Science in Applied and Computational Mathematics (ACM) is a graduate program offered by the Department of Applied Mathematics. This on-campus degree aims to provide students with a strong working knowledge of various applied mathematics fields, potentially including specific application areas, to prepare them for successful careers in industry. The program requires a minimum of 36 credits and 9 courses, with specific core requirements. Students are expected to maintain satisfactory academic progress with a GPA of 3.2 or higher. The program can be pursued full-time or part-time.

The Master of Science in Applied Mathematical Science with a specialization in Mathematics at the University of Central Oklahoma focuses on applying mathematical principles to real-world problems. This program is designed for students seeking advanced knowledge in mathematical theory and its practical applications. It equips graduates with the analytical and problem-solving skills necessary for careers in various quantitative fields. The curriculum emphasizes a strong foundation in advanced mathematics, including areas relevant to data analysis, modeling, and scientific computation. Students will develop the ability to tackle complex challenges, interpret data, and contribute to advancements in science, technology, and industry.
The University of Washington offers a Master of Science (MS) in Biostatistics with two program options: Capstone and Thesis. The MS Capstone is an 18-month, full-time program designed to prepare students for careers in industry, research, or academia as biostatisticians, research scientists, or data analysts. It includes specialization pathways and a collaborative research solution as the final project. The MS Thesis is a 24-36 month, full-time program focused on research, preparing students for doctoral degrees or research positions in biomedical, clinical, and laboratory settings. This option involves a research-based thesis and requires a final methodological academic paper and a theory exam.
The Master of Science (MS) in Biostatistics program at UC San Diego's Herbert Wertheim School of Public Health and Human Longevity Science provides comprehensive training in statistical methods and data analysis relevant to human health. The curriculum combines theoretical and applied classroom work in core biostatistics, with electives in life sciences. It emphasizes practical data analysis skills using biomedical data, and introduces modern techniques like literate programming and reproducible research. A mandatory practicum course will give students hands-on experience with real-world biomedical or public health data, culminating in a formal presentation and analysis report. The program is designed to be completed in two years (six quarters), requiring at least 56 units of coursework.
The Master of Science (MS) in Mathematics program at the University of Illinois Urbana-Champaign offers students a flexible curriculum with a wide range of course options. This program is designed to provide strong preparation for careers in industry or for further doctoral studies in mathematics at other institutions. While it's uncommon, graduates may pursue a PhD at the University of Illinois after completing the MS. The degree requires 32 credit hours and can typically be finished in 18 months. Students can choose between a thesis or non-thesis track. Applications are accepted for the Fall semester.
The Master of Science in Mathematics program is offered through the Department of Mathematics, which is part of the Courant Institute of Mathematical Sciences at New York University. This department is globally recognized for its excellence, holding top rankings in mathematics and applied mathematics. The program provides a strong foundation in core mathematical principles and offers opportunities for specialization. Graduates are well-prepared for a variety of career paths in research, engineering, finance, business, and government, where mathematical skills are increasingly crucial for solving complex problems.
The University of Washington offers several Master's degrees in Mathematics, including options for a Master of Arts (MA) and a Master of Science (MS) with thesis or non-thesis tracks. Students are admitted to a general MS Mathematics program and can later specialize with faculty approval. The program is designed for full-time, on-campus study over approximately two years (six academic quarters). Students are expected to make satisfactory academic progress, maintaining a minimum grade of 3.0 in all courses credited towards the degree.
The Master of Science (MS) in Statistics program at the University of Illinois Urbana-Champaign offers advanced training in both mathematical and applied statistics. It is designed to prepare students for careers as practicing statisticians, enhance research expertise for those pursuing advanced degrees in other fields, or strengthen the foundation for doctoral studies in statistics or related areas. The program emphasizes practical application and collaboration in a research environment, covering core statistical theory, computational skills, and modern data science techniques. The curriculum requires 32-36 credit hours (typically 8-9 courses) beyond any prerequisite coursework, with no thesis requirement.
The Master of Statistics (MStat) program at Rice University is designed for individuals with backgrounds in mathematical, physical, or engineering sciences who aim to develop advanced analytical skills for careers in statistics. This program serves as a bridge to industry, offering in-depth training in the applied aspects of statistical theory, methodology, and techniques, going beyond typical undergraduate coursework. It prepares graduates for roles as professional statisticians in various sectors including business, industry, non-profit organizations, and government.
Stony Brook University's Mathematics Department, established in 1958, is a highly regarded department consistently ranked among the top twenty-five in the United States. It offers a comprehensive range of programs at both undergraduate and graduate levels. The department has particular strengths in areas such as differential and symplectic geometry, algebraic geometry, algebraic topology, dynamics, complex analysis, and their applications to mathematical physics. It is closely associated with the Institute for Mathematical Sciences and the Simons Center for Geometry and Physics, fostering a collaborative research environment.

The Department of Mathematics and Statistics at the University of Central Oklahoma offers a range of programs designed to provide students with a strong foundation in mathematical and statistical theory, coupled with practical application skills. Our mission is to equip students with the problem-solving and reasoning abilities needed to excel in graduate studies or to enter the job market successfully. We cater to diverse interests within mathematics and statistics, fostering an environment of academic excellence and student support. The department is part of the College of Mathematics and Science and boasts faculty with expertise in areas like algebraic topology, cryptography, differential equations, biostatistics, and data science. We emphasize collaborative learning and research opportunities, encouraging students to engage with faculty on meaningful projects. To support student success, the department offers various resources, including the Student Success Center for academic advising and career counseling, a dedicated Scholarship Portal, and an active Math Club. We also provide access to a well-equipped computer lab with specialized software and a tutoring lab for additional academic assistance.
Stony Brook University offers advanced graduate-level projects within various branches of mathematics, providing opportunities for in-depth study and research. These projects are designed for students who have a strong foundation in mathematics and are looking to specialize in areas such as algebra, analysis, geometry, topology, and dynamical systems. The program focuses on developing a deep understanding of theoretical concepts and their applications.
Operations Research (OR) is an interdisciplinary field focused on using mathematical modeling and quantitative analysis to improve the efficiency and effectiveness of complex systems. It draws techniques from various fields like mathematics, engineering, economics, and physical sciences to understand and optimize processes. Penn State offers a dual-title graduate degree program in OR, allowing students to earn a Ph.D. or Master's in OR alongside their primary graduate degree in a participating program.
This course focuses on the practical aspects of statistical consulting, emphasizing the non-technical skills needed to apply statistical methods to real-world problems. Students will learn about the entire consulting process, from understanding the initial research question to delivering final reports and presentations to clients. The course aims to develop crucial interpersonal communication, ethical considerations, and reproducible work practices essential for effective statistical consulting. Through a blend of lectures, role-playing, consulting sessions, and hands-on research projects, students will gain practical experience. This includes shadowing and leading consulting clinics, working directly with Johns Hopkins researchers to define their needs, and producing comprehensive final reports. The objective is to equip students with the ability to manage and execute statistical consulting projects successfully.
Purdue University's Department of Mathematics offers Master of Science (MS) and Doctor of Philosophy (PhD) degrees. The MS program can prepare students for non-academic careers or for further doctoral studies. Specializations include the interdisciplinary Computational Science and Engineering program and the Computational Finance program. The MS degree typically requires 30-34 credit hours of coursework, with no mandatory thesis or examinations. Students with a half-time teaching assistantship usually complete the MS in two years. The PhD program requires a minimum of 42 graduate credit hours, successful completion of written qualifying and oral specialty examinations, a thesis, and a final oral defense. A PhD typically takes five to six years to complete, even with a half-time teaching assistantship.
The Department of Educational Psychology at The University of Texas at Austin offers a Master of Education (M.Ed.) specialization in Quantitative Methods. This program is designed to equip students with the knowledge and technical skills necessary for professional roles such as social science researchers or statistical analysts. Graduates are prepared to work in diverse settings including testing companies, academic institutions, government agencies, and school districts, contributing to data-driven decision-making and research.
This program offers advanced, specialized training for educators in science or mathematics, catering to both elementary and secondary school levels. It focuses on developing culturally responsive teaching practices that address contemporary challenges and historical inequities in education. Students will engage with theories of justice and equity, learn about Indigenous pedagogies, and strengthen their understanding of diverse learners in various educational settings. The program aims to equip graduates with expertise in science and math instruction, curriculum design, and leadership within educational communities.
There are 48 Master's programmes in Mathematics & Statistics across 23 universities in the United States.
Tuition ranges from roughly €26,000 to €54,000 per year. Teaching or research assistantships are available at many universities, which can significantly reduce the net cost for qualified applicants.
Programmes are offered at Duke University, Georgetown University, University of Notre Dame, North Carolina State University, New York University, and Texas A&M University, among 23 universities.
Yes. International applicants typically need a bachelor's degree in mathematics or a related field, GRE scores (often the GRE Mathematics Subject Test), and English language proficiency documentation.
A strong undergraduate background in mathematics, statistics, or a closely related quantitative field is normally required, along with academic transcripts, recommendation letters, and a statement of purpose outlining research interests or career goals.