Applied mathematics deals with a wide range of disciplines in different areas, as science, technology, business and industry. Applied mathematics aims to solve practical problems using mathematical methods and models, such as materials analysis and processing, weather forecasting, financial services, network management and many more tasks. Applied mathematics can include mathematical disciplines such as mathematics of engineering, linear programming, continuous modeling, numerical analysis, statistics, information theory, game theory, etc.
The demand for skills in the field of high-dimensional data processing, otherwise known as Big Data, is increasing dramatically worldwide, yet academic programs for this are still quite rare. The Master of Science in Big Data offered by ENSAI meets the very important need among corporations and organizations of all kinds for graduate-level training nearly non-existent in academic offerings on the French, European, and even international scale.
Building from a core in applied statistics, the MS in Analytics provides students with advanced analytical training to develop their ability to draw insights from big data, including: data collection, preparation and integration; statistical methods and modeling; and other sophisticated techniques for analyzing complex data.
These guidelines are intended to help familiarize graduate students in the Master of Science (M.Sc.) in Applied Mathematics program with the policies governing this degree program. All the guidelines apply to both the on-campus M.Sc. degree and the on-line M.Sc. degree, unless otherwise specified.
This program provides opportunities for motivated and highly qualified students to undertake advanced study and to produce a research-based dissertation. Students will develop appropriate research skills and specialist area knowledge that will enhance their career prospects or allow them to proceed to further appropriate higher degree studies.
The Department of Statistics offers Master of Science (M.S.) degree in Statistics. The graduate program is structured around three core course sequences that introduce students to the science of data: theoretical statistics, data analysis, and statistical computing. This balance reflects the scale and complexity of problems that statisticians are now routinely called to address. As with the undergraduate program, the interest of faculty members in various application areas weaves itself throughout the graduate offerings.
Applied mathematics and statistics is an integral part of emerging fields such as computational medicine/biology, language processing, information security, and computer science. In today’s data-intensive world, it is used to answer questions and solve problems in areas as diverse as finance, government and law, medicine, and national defense.
This academic program, for students registered in the Department of Applied Physics and Applied Mathematics, emphasizes applied mathematics research in nonlinear dynamics, fluid mechanics, and scientific computation, with a current emphasis on geophysical, biophysical, and plasma physics applications.
INTO George Mason University’s Graduate Pathway program in Operations Research will prepare you to enter the second year of a Master of Science in Operations Research at George Mason University.
The Data Science Institute at Columbia University is developing technology to unlock the power of global data to help solve some of society's most challenging problems. It will develop the tools and talent to monitor and protect the critical infrastructure we depend upon, improve societal health and patient care, enhance communication and interactions within communities, predict financial failures, and keep personal data safe.
INTO George Mason University’s Graduate Pathway program in Data Analytics Engineering will prepare you to enter the second year of a Master of Science in Data Analytics Engineering at George Mason University.
The Master of Science in Applied and Computational Mathematics is the sole graduate degree offered by the Department of Mathematics and Statistics and as such, the graduate faculty and their research projects are highly accessible to students in the program. The two-year program is intended to provide a sound academic basis for careers in the natural, environmental, biomedical, and managerial science, as well as in engineering and in areas of research and development related to technology.
Designed for students who are not able to gain admittance into a graduate program, the Graduate Pathway in Applied Statistics offered at INTO Colorado State University is designed to help students prepare to study in the Master of Applied Statistics program at CSU. This program emphasizes the practical application of statistics. The degree will help students advance their career by teaching them how to apply statistical procedures to industries such as high-tech, medical and pharmaceutical, and others. The degree will develop students’ statistical skills and knowledge to meet the growing need for data analysis of real world problems.