Computational science degree abroad

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.

PhD in Computational and Applied Mathematics The study program combines studies with active work in the field of mathematics and with solving problems. The problems students solve come from real life. The methods used for solving the problems benefit from new possibilities of computing and reflect current progress in the field of applied mathematics. Graduates find their employment in research departments of software companies and industry companies, in science institutions, or possibly at universities.

The MPhil-PhD Program in Computational Social Science is designed for students who wish to pursue an academic career in the broad area of computational social science and humanities. It will train students to identify interesting and promising research topics and conduct research projects by bridging the gap between computational techniques and traditional studies in humanities and social sciences.

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 doctoral program in Informatics and Computational Science aims to train highly qualified experts capable of further developing their field by finding new original solutions, methods, and procedures and applying the most demanding known techniques. Students can profile themselves in many different areas, such as computer science, computer vision, machine learning, artificial intelligence, HPC computing, computational chemistry, nanorobotics, and many more.

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.

Study Computer Science, Mathematics and Philosophy in an accelerated three-year Bachelor of Science degree. Learn how to combine human creativity with the power of computers to solve problems. Examine the essentials of theoretical computer science and their mathematical foundations.

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.

Excellence in advanced training Applied Mathematics, through research work on the theme of the frontier of athematical knowledge; Solid and deep scientific knowledge in the area of Ap. Mathematics to enrich the previous training of the student; Maturity of logical and abstract reasoning; - Independence and creativity in problem solving in mathematics and its applications; - Innovation in treating problems of mathematics and applications to other contexts. We have a PhD program in Applied Mathematics that pools the considerable human and material resources of the participating institutions, to provide a research based degree, internationally competitive, in such areas as Analysis and Optimization, Statistics and Probability, Dynamics and Geometry and Algebra, Logic and Computation. Also our curricular component is sufficiently flexible to accommodate the varied interests and backgrounds of potential students, and it is also useful for the development of specific and transverse skills

Mathematics helps you understand the world’s patterns and logic. It drives innovations like encryption, climate predictions, medical imaging, and AI. A math degree equips you to solve complex problems and make a meaningful impact, whether unraveling mysteries or shaping the future with mathematical models.

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: