21 Computational Mathematics Masters Degree Programs

The Master of Science degree in Data Science (MDS) at the Università della Svizzera italiana (USI) offers students the opportunity to acquire an in-depth understanding and set of skills in computational science, involving numerical simulation, applied mathematics, statistics, and data science. It provides an innovative combination of methodological and applied competencies in both computational and data science, which endow students with the knowledge and skills that are needed to operate at the forefront of science and industry.

Nowadays, there is mathematics in virtually everything, from mobile phones to passenger cars and oil tankers. The internet is built on mathematics. Google is based on probability theory, and cryptology and secure data transfer are based on classical number theory. Modern physics, chemistry, climate science, bioinformatics — the list is long.

With the steady advancement of Quantitative and Computational Biosciences and analytical tools, all branches of Biological sciences are being swamped with a deluge of data that is calling out for analyst professionals. The QuaCBio Master’s degree combines courses from the biological and hard science realms, with a strong emphasis on hands-on bioinformatics trainings. Through this approach, students with a comprehensive STEM background are expected to get together and cross-contaminate when dealing with Big Data in omics, evolution, ecology and physiology and become the next generation of Computational Biologists.

The Master's Degree in Bioinformatics for Computational Genomics program aims to form graduates with knowledge about the molecular basis of biological systems, the structure and function of biological molecules in the cellular processes, the technologies, and platforms for the analysis of genomes, the tools for bioinformatic and genomic analysis, and the statistical and computational methodologies for the analysis of biomolecular data.

In the Master's Program in Computational Physics, you will learn how to translate a mathematical model of a physical phenomenon into a robust computer program and then how to analyze the results from your calculations. You will study courses in programming, and mathematical and numerical methods and deepen your knowledge of physics.

The MSc in Mathematics and Computing for Finance is designed to meet the demand for specially trained mathematicians in the world’s finance and insurance markets.

Create innovative computing solutions, mathematical models, and dynamic systems to solve problems in industries such as engineering, biology, and more.

The Department of Computer Sciences offers graduate courses in computer science. In addition, a joint media arts and computer science degree is offered by the Department of Computer Science and the Department of Communication and Fine Arts. The Department of Computer Science trains students in the fields of computer science.

The MCE reconciles two objectives:

The Master of Science program in Applied and Computational Mathematics focuses on equipping students with advanced knowledge and skills in mathematical modeling, computational techniques, and analytic...

The Professional Science Master in Computational Science with a focus on Computational Mathematics is designed to equip students with advanced quantitative skills and the ability to apply computationa...

The Master of Science in Mathematical and Computational Sciences at the University of Prince Edward Island is designed to enhance students' expertise in mathematics, statistics, and computer science. This interdisciplinary program emphasizes both theoretical and applied aspects of these fields, fostering skills in problem-solving, data analysis, and computational techniques.

Applied and Computational Mathematics (A.C.M.) is an interdisciplinary program of graduate study. A.C.M. involves both mathematics and a partner discipline such as engineering, biological science, chemistry, sustainable energy or physics, and other diverse fields.

The MS in Computational & Applied Mathematics trains you in the analytical and numerical methods of applied mathematics to address and solve pressing challenges in all areas of science and engineering. Mathematical modeling and scientific computing have become increasingly useful problem-solving tools. You’ll learn analytical and numerical methods of applied mathematics, applying them to problems in physics, biology, engineering, economics, climate science, and more.

American University’s Master of Science in Statistics is an excellent way to further your mathematical education, prepare for a doctoral program, or gain the expertise to advance your career. In this program, you will develop proficiency in the development, research, and analysis of quantitative tools to turn ideas into intelligent, informed actions. Incoming students can qualify for merit awards as Graduate Assistants or Research Assistantships to gain experience. We offer two different tracks to help you match your course of study to your intellectual and professional goals. The mathematical statistics track is for those intending to pursue a Ph.D. in statistics, while the applied statistics track is perfect for those intending to use their statistical expertise in the workplace. Whichever track you follow, AU’s MS in Statistics is your key to success.