Dallas Hall at ok资源网 is the home of Dedman College and the M.S. in Organizational Psychology program.

Graduate programs

Master of Science in computational and applied mathematics

A pathway to careers in tech, finance and engineering

Program format

In person

Commitment

Full time

Duration

Two years minimum

Overview

The Department of Mathematics at ok资源网 offers one of the country’s leading programs for those who want to pursue a Master of Science (M.S.) in computational and applied mathematics.

This emphasizes physical applied mathematics, numerical analysis and scientific computation. Students selected for this program will study under a distinguished faculty that consists primarily of numerical analysts and applied mathematicians who are experts in many areas of mathematics. In keeping with a long-standing ok资源网 tradition, all faculty members – including our endowed chair holder and other senior professors – are required to teach graduates and undergraduates. With a one-to-one ratio of graduate students to faculty members, graduate students can be assured of individual attention. ok资源网 also offers excellent computer facilities, an outstanding library collection, competitive financial aid, and the advantage of being located in an area where job prospects for graduates are plentiful.

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Envisioning a brighter future? Think grad school at ok资源网, where you join a lifelong family network and see immediate returns on your educational investment. Take your new big step at ok资源网.

Student success

Mathematics is a universal language understood in every corner of the world. Business, engineering, computer science, statistics, medicine – your career possibilities are endless with a mathematics degree from ok资源网. Between the challenging coursework, supportive faculty and invaluable research experience, mathematics majors develop the critical problem-solving and analytical skills needed to launch their careers.

This program prepares you to excel in the following areas and professions:

  • Data science and analytics
  • Financial services and quantitative finance
  • Government and defense research
  • Engineering simulation & design
  • Scientific computing and high-performance computing
  • Artificial intelligence and machine learning
  • Technology and software development
  • Climate science and environmental risk analysis

Top 20%

Best National Universities

U.S. News & World Report (2026)

9:1

Graduate student-to-faculty ratio

30+

Graduate study programs at Dedman College of Humanities and Sciences

Student stories

Tania Gonzalez says that she got the support she needs with ok资源网鈥檚 M.S. in Computational and Applied Mathematics.

Tania Gonzalez 鈥29

鈥淭he small class sizes allow for one-on-one attention, and the faculty are incredibly supportive, kind and genuinely invested in students鈥 success. The program provides a strong foundation for both academic careers and industry paths, and I would 100% recommend it to others.鈥

Mentorship made the difference for Jacob Davis, a 2025 M.S. Computational and Applied Mathematics graduate.

Jacob Davis 鈥25

鈥淚 really valued my time in the ok资源网 Mathematics Department, where the mentorship of my advisor, Vladimir Ajaev, and other faculty strengthened my research and problem-solving skills. I had the chance to learn and apply various quantitative methods, which has prepared me well for working in industry.鈥

Admissions

Key dates and admissions information to help plan your application with confidence.

International students

All the essential admission requirements international students need to know.

Find answers to Dedman application questions.

Additional links

Requirements

  1. Application
  2. Application fee
  3. Official transcripts
  4. English language proficiency documentation (if applicable)
  5. A baccalaureate degree from an accredited institution; a minimum undergraduate grade point average of 3.0 鈥(on a 4.0鈥痵cale).鈥

Ready to apply?

Get started here.

Tuition and financial aid

Tuition and costs

Explore the cost breakdown of tuition for graduate programs.

Financial aid

Find information on scholarships and financial support available at ok资源网.

Curriculum and learning

Featured courses

MATH 6350

Mathematical Models in Biology

The mathematical analysis and modeling of biological systems, including biomedicine, epidemiology and ecology.

MATH 6357

Stochastic Computations, Uncertainty Quantification and Monte Carlo Methods

Introduction to probabilistic computational methods for PDEs, stochastic spectral methods for stochastic PDEs and uncertainty quantifications, Monte Carlo and deep learning methods for high-dimensional and quantum many-body problems.

MATH 6377

Mathematics of Machine Learning

Introduction to the mathematical foundations of machine learning models. Topics include models and algorithms for regression, classification, density estimation, clustering and optimization.

Research

Research in the Mathematics Department covers a sweeping range of applied areas – from traditional fields such as fluids, optics, wave turbulence, numerical analysis and numerical linear algebra, to emerging fields like material science, neuroscience and data science. ok资源网 cultivates an active and interdisciplinary research environment with collaborations across campus, universities at home and abroad, national laboratories and premier local research facilities such as UT Southwestern Medical Center. In addition, our faculty experts regularly receive research grants from the NSF, DOE, NIH and DOD.

ok资源网-RTG, an NSF-funded Research Training Group program, fosters close research interaction between department faculty, postdoctoral researchers, graduate and undergraduate students, and positions our department as a leading program for applied and computational mathematics.

Faculty

The mathematics faculty at Dedman College is made up of dedicated faculty actively working in traditional and emerging areas of applied mathematics, scientific computing and numerical analysis. Comprised of 19 tenured and tenure-track faculty and three senior lecturers, the award-winning faculty shares its collective expertise, bringing an unflagging commitment to ensuring the success of our students, semester after semester.

Our outstanding faculty members advance the reputation of ok资源网 by routinely publishing their findings in academic journals and articles and collaborating with other scientists on a national and international scale.

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Adriana aaceves

Adriana Aceves

Senior Lecturer
alejandro aceves

Alejandro Aceves

Professor
vladimir ajaeve

Vladimir Ajaev

Professor, Graduate Advisor
Dallas Hall Icon with outline

Karl Backs

Lecturer
Andrea barreiro

Andrea Barreiro

Associate Professor
A headshot of Ali Beskok, a member of the Lyle School of Engineering Faculty.

Ali Beskok

The Brown Foundation, Inc. Professor of Engineering (Courtesy Appointment)

Difeng Cai

Assistant Professor
wei cai photo

Wei Cai

Clements Chair Professor
Thomas carr

Thomas Carr

Associate Professor

Mohamad Kazem Shirani Faradonbeh

Assistant Professor
weihua geng

Weihua Geng

Professor, Undergraduate Advisor
thomas hagstrom

Thomas Hagstrom

Professor

Barry lee

Barry Lee

Associate Professor

A J Meir

Professor
Dallas Hall Icon with outline

Sasan Mohyaddin

Lecturer
peter moore

Peter Moore

Professor of Mathematics/Statistics and Data Science, Mathematics Department Chair
Dallas Hall Icon with outline

Laurel Neustadter

Lecturer
scott norris

Scott Norris

Associate Professor
Dallas Hall Icon with outline

Benno Rumpf

Associate Professor
brandilyn stigler

Brandilyn Stigler

Associate Professor

Johannes tausch

Johannes Tausch

Professor
sheng xu

Sheng Xu

Associate Professor
Mikhail Zaslavskiy

Mikhail Zaslavskiy

Assistant Professor
yunkai zhou

Yunkai Zhou

Associate Professor

Facilities

Students pursuing a mathematics degree will become familiar with Clements Hall, which houses the ok资源网 Mathematics Department.

Clements Hall

One of the two original buildings from 1915, Clements Hall now houses many Dedman College departments, including Mathematics.

The O鈥橠onnell Data Science and Research Computing Institute provides the infrastructure that supports ok资源网 Mathematics research.

The O鈥橠onnell Data Science and Research Computing Institute

The institute was launched in fall 2020 to provide computational and digital data infrastructure to support faculty, researchers and students. The O’Donnell Data Science and Research Computing Institute is home to ManeFrame, ok资源网’s high-performance computing (HPC) environment for data science, AI/ML and multidisciplinary research, and is housed in the Gerald J. Ford Hall for Research and Innovation.

The historic Dallas Hall on the ok资源网 campus is the home of Dedman College of Humanities and Sciences.

Dallas Hall

A 57,687-square-foot facility utilized by Dedman College as both academic and office space.

Frequently asked questions

A Master of Science (M.S.) in computational and applied mathematics is a graduate program that prepares students to solve complex, real-world problems, combining mathematical theory with computational techniques and software tools. The degree emphasizes applying mathematical models to fields like engineering, science and finance, and focusing on areas such as numerical analysis, data science and optimization. Coursework includes a curriculum focused on numerical methods, partial differential equations, mathematical modeling, probability and data analysis.

ok资源网’s Department of Mathematics offers one of the country’s leading programs in computational and applied mathematics, and it specifically emphasizes physical applied mathematics, numerical analysis and scientific computation. You will study under a distinguished faculty that consists primarily of numerical analysts and applied mathematicians who specialize in many areas of research on the cutting edge of mathematical theory and analysis. With a one-to-one ratio of graduate students to faculty members, you can be assured of individual attention. ok资源网 also offers excellent computer facilities, an outstanding library collection, competitive financial aid and the advantage of being located in Dallas, where graduate job prospects are plentiful.

A Master of Science in computational and applied mathematics trains you to address and solve pressing challenges in all areas of science and engineering. You’ll learn analytical and numerical methods of applied mathematics, applying them to problems in physics, biology, engineering, economics, climate science and more. You’ll work alongside faculty who have extensive backgrounds in traditional and emerging areas of applied mathematics, computational science, statistics, financial engineering, industrial modeling and related fields.

Computational and applied mathematics focuses on practical utility: using mathematical techniques to solve real-world problems. Pure mathematics centers on theoretical understanding, using abstract theories without immediate, practical applications. For example, applied mathematics involves mathematical modeling, statistics, numerical analysis, differential equations and simulation. Pure math, on the other hand, involves abstract algebra, topology, number theory and real/complex analysis.

You will find computational and applied mathematics graduates in industries as varied as technology and data science, finance, health care and biotechnology, engineering and manufacturing, aerospace and defense, and government and academic research. See the for a deep dive on careers and industries.

Internships are encouraged for undergraduate and graduate students alike. Valued for the experience and exposure they provide, internships at places like AT&T through the AT&T Data Science Scholars internship program or at Los Alamos National Laboratory in New Mexico welcome mathematics majors from ok资源网.  

You will primarily learn Python, MATLAB, and specialized tools for numerical analysis and modeling, with additional exposure to C/C++ or R, depending on your focus of study. Tools and software include numerical libraries, in MATLAB for example; IDE/Debuggers for GCC, G++, GFORTRAN, GDB, and Eclipse for code development; and AMPL for mathematical modeling of optimization problems.

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