35 Full-time Master's in Computational Mathematics in United States

The Applied and Computational Mathematics Master's programme at Florida State University offers advanced training in mathematical modelling and simulation. This public M.Sc. degree provides flexible study options, including thesis and course-based tracks, designed to prepare students for high-level research and industry roles.

The Applied and Computational Mathematics programme at Western Michigan University provides advanced training in mathematical modelling and numerical analysis. This M.Sc. degree is delivered through a public study mode, focusing on practical applications and computational techniques to solve complex real-world problems.

The Professional Master's of Computational and Applied Mathematics (MCAAM) at Rice University is an advanced, professional degree program designed for students interested in a technical career in industry or business. 

The Computational and Applied Mathematics programme at Southern Methodist University provides advanced training in numerical analysis and scientific computation. This degree is delivered on-campus in Dallas, offering students a rigorous academic environment focused on physical applied mathematics and high-level research skills.

The Computational Mathematics programme at the University of Central Oklahoma is a Professional Science Master (P.S.M.) delivered on campus with flexible online options. This graduate degree combines advanced STEM coursework with management training, designed for completion through full-time or part-time study modes.

The Scientific Computing and Applied Mathematics programme at University of California, Santa Cruz provides advanced training in computational methods. This M.Sc. degree is delivered via a full-time study mode, focusing on high-level research and professional preparation within a prestigious public institution.

The M.Sc. in Computational Biology at Carnegie Mellon University is a four-semester, full-time programme delivered in a public study mode. It provides rigorous interdisciplinary training across biology, computer science, and machine learning, preparing students to solve complex biomedical challenges through advanced analytics.

The goal of the Mathematical, Computational, and Systems Biology program at University of California, Irvine (UCI) is to provide students from a variety of educational backgrounds with Ph.D. training suitable for research careers in the nascent field of Systems Biology. 

The Applied Mathematics and Computational Science program of University of Pennsylvania is intended for students who wish to go into professional careers in Applied Mathematics, or wish to obtain sufficient background in Applied Mathematics to be a strong candidate for a doctoral program in Applied Mathematics, Mathematics, Statistics, Financial Mathematics etc. 

The MS in Computational and Applied Mathematics from Claremont Graduate University (CGU) trains you in the analytical and numerical methods of applied mathematics to address and solve pressing challenges in all areas of science and engineering.

The Computational Data Science (Mathematics) B.Sc. programme at Indiana University Indianapolis offers a comprehensive education in data science, focusing on mathematical principles. This degree is designed for those seeking to deepen their understanding of data analysis and computational techniques.

A student in the professional Applied and Computational Mathematics and Statistics program at University of Notre Dame will complete 30 credits of coursework in statistics, applied mathematics or computational science. 

We offer a master degree in Applied Mathematics and Scientific Computation at the Bowling Green State University. Mathematical modeling and numerical analysis are increasingly important in many areas of science and technology. 

The Chemical Engineering (Modeling, Simulation and Informatics) program of the University at Buffalo offers a Master of Science (MS) degree and a Master of Engineering (ME) degree.

The mission of the Statistics programme from The University of Arizona is to develop the next generation of data scientists, trained to meet the challenges of modern interdisciplinary data extraction, analysis, and interpretation.