Applied Mathematics is concerned with the development and application of mathematical tools for the analysis and design of dynamical systems that appear in modern technology.

MSc in Mathematics-Economics has taught you about how rates for a new mortgage loan should be fixed – with an interest-rate ceiling or as interest-only loans. In fact, it was mathematics–economics graduates who developed the model used for fixing the cost of such loans. All major companies face complex problems, and many turn to mathematics–economists when they do.

The program gives a comprehensive knowledge of several areas in applied mathematics. The advanced courses present state of the art issues of the given area, e.g. in statistical methods, financial mathematics, code theory, numerical methods, etc.

The master’s programme in Applied and Computational Mathematics fosters skilled applied mathematicians, well-prepared for advanced industrial positions or PhD studies. The programme offers four tracks: Computational Mathematics, Financial Mathematics, Optimisation and Systems Theory, and Mathematics of Data Science. Graduates acquire skills in advanced mathematics and computer simulation that are in demand in several important fields.

The curriculum consists of a thesis that incorporates a research proposal, an oral defence (viva voce) and two manuscripts, based on the candidate's research, submitted for publication to a recognised accredited journal. Proof of the submission of the manuscripts is a compulsory condition for the degree to be conferred.

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.

The aim of the MSc in Applied Mathematics master program is to train professionals who have a well-grounded mathematical and informational knowledge in a theoretically and practical way. They are able to gain knowledge in industrial, commercial, agricultural, logistics, communication, finance and computer science issues to be used for analysis, modelling and finding a solution for them.

The course provides training in techniques of applied mathematics, and focuses largely on mathematical models of real world processes, their formulation in terms of differential equations, and methods of solutions, both numerical and analytical, of the models; a focus of the course is an emphasis on practical problems which arise in industry, commerce, medicine, as well as the environmental and life sciences; in particular, there is a close alliance between the course and research problems in industrial applied mathematics, which is a principal research strand underpinning MACSI research.

Created in 1989, the Applied Statistics Program at Syracuse University is an interdisciplinary program within the College of Arts and Sciences that includes faculty from computer and information science, management, mathematics, psychology, and the social sciences, among others. The program offers an undergraduate concentration in applied statistics, sponsors a speakers series that hosts visiting statisticians and scientists, and offers a master’s degree in applied statistics.

The Master of Science in Applied Economics and Predictive Analytics (MSAEPA) is a relatively new degree offered by the Department of Economics. Predictive Analytics refers to the process of building models that predict consumer behaviors under different circumstances, and help customize product offerings that better suit the tastes and preferences of consumers. It also refers to building models to predict time series variables of importance to businesses and governments like product sales and tax revenues, and to evaluate competing government programs and business strategies.

The Master of Science in Applied Mathematics program pairs a mathematical background with an additional focus area of the student’s choice. The interdisciplinary curriculum prepares students for careers and further study in high-performance computing, statistics, computer science, business and more.

The MSc Applied Mathematics & Theoretical Physics offers broad opportunities for future employment in research, development, predictive modeling and risk assessment, and informatics-related industry sectors. At UCD, this MSc program is developed in close connection with the Simulation Science and Computational Physics specialties, offering students robust training in computational methods on top of a solid theoretical and mathematical foundation.

In the Applied mathematics program, you will learn to model and solve problems from the practical world using advanced mathematical methods. Aside from the basic mathematical principles, the Applied mathematics program will acquaint you with mathematical modeling, i.e. formulating complex problems in applications as mathematical problems, in order to analyze them and perform calculations digitally.

The MSc in Applied Mathematics program aims to provide high-level competencies for the formalization and the consequent mathematical analysis of problems arising from applied sciences and technologies, with a special focus on the analysis of big data systems and complex systems.

Master of Mathematics program equips you with a command of numerical accuracy and versatility. You will not only be an all-around mathematician, but also a specialist in either pure or applied mathematics, able to analyze complex mathematical problems, design solutions, supervise their realization, and communicate mathematical concepts to fellow mathematicians and non-specialists alike.