A master's degree is a postgraduate qualification, usually taking two to four years to obtain. These programs often set a bachelor's degree or equivalent coursework as a prerequisite for entry.
What is a Master in Applied Mathematics? These are often rigorous mathematical programs with a goal of preparing students to utilize complex modeling and analysis tools in the service of business, science and government. One might expect to encounter required classes in finance, climate modeling, optimization and computing. There are also often courses in topics such as vector calculus, partial differential equations and complex variables. Due to the range of relevant topics available, students might expect to choose from a variety of electives in the engineering, mathematics and science departments to fulfill the credit hour requirements. A master's degree with this focus might take around three years to complete.
Together, the applied and theoretical aspects of these programs often combine to equip students with the tools necessary to solve complex and relevant problems in engineering, science and various other applications. The mental rigor and organizational skills developed might also assist graduates in nearly every aspect of their lives.
Applied mathematics programs have different costs based on a variety of factors. Location of the school is one possible cause for tuition disparity, while coursework is another.
Applied mathematicians might find employment servicing a variety of industry sectors as data scientists. These positions often require individuals to bring a large number of data processing, computing and modeling techniques to bear on expansive data sets. A successful candidate for this position might find that the knowledge acquired during a degree program prepared him or her for the challenge of interpreting structured and unstructured information.
Obtaining a Master in Applied Mathematics starts with finding a school that fits your requirements. Search for your program below and contact directly the admission office of the school of your choice by filling in the lead form.
The Master of Science with option to Computation or Applied Mathematics, is based on its two terminal areas, the student will have a thesis tutor appointed from the second semester to ensure a personalized attention that will guide you to organize, plan and develop your protocol , besides giving him the possibility to develop his abilities and generate his own needs to face the problematic of his line of research and that will develop in the seminars of investigation. [+]
The Department of Theoretical Physics was set up in 2009 by the decision of the Academic Council in order to train professionals in modern theoretical physics. It is one of the most important departments of the St Petersburg Academic University that provides up-to-date training in theoretical and mathematical physics. [+]
The Master in Mathematical Engineering offered by Universidad Carlos III de Madrid aims to provide students with the necessary tools to face technological or scientific problems... [+]
The overall aim of the course is to train in Computational Mathematics, a comprehensive and integrated manner, professionals in the field of mathematical modeling of problems in the industry and company. The profile is entitled versatile, combining a solid mathematical basis with an excellent technical background in computer science and is prepared for the use of sophisticated tools with the ability of a mathematical abstraction. [+]
The Interuniversity Master of Industrial Mathematics (M2i) is organized by the three Galician universities, along with the universities Carlos III and Polytechnic of Madrid. It consists of the specialties of Mathematical Modeling and Numerical Simulation. The title is obtained after exceeding 90 credits, of which 30 correspond to the Master project, which is developed in collaboration with a company. [+]
Students from the master’s programme in Applied and Computational Mathematics will become skilled applied mathematicians, well-prepared for advanced industrial positions or continued graduate studies. The programme contains four tracks: Computational Mathematics, Financial Mathematics, Optimization and Systems Theory, and Statistical Learning and Data Analytics. [+]
The objective of the Master's Degree in Advanced Physics and Applied Mathematics (MFMA) is to provide advanced training, aimed especially at those undergraduates who aspire to do a PhD later. [+]
The Master's Degree Program Continuum Mechanics: Fundamentals and Applications is aimed to prepare masters, who are able to formulate and solve a wide range of problems arising in various fields of continuum mechanics – both of mechanics of solids and fluids, with focus on interdisciplinary, in strong connection with engineering applications in hi-tech and advanced manufacturing technologies [+]
The obtained theoretical and practical knowledge and skills enable students to carry out academic research and obtain and analyse new theoretical and applied results in accordance with the study profile [+]
Master of Mathematical Engineering [+]
Computational Mathematics has a distinct focus on the important areas of applied mathematics relative to other branches of Information and Communication Technology, which the students can use when dealing with practical problems in the workplace. [+]
The Applied Mathematics and Computational Sciences (AMCS) program educates students to construct and solve Mathematical and Computational models of real-world problems. [+]
The Dual International Masters in Mathematical Informatics is unique programme delivered by two academically renowned Universities in Europe: Liverpool Hope University, UK and the Université Catholique de l’Ouest, France. [+]
The technology we use in today's society is to an ever-increasing extent based on mathematical models and calculations. Analysis with Mathematical Physics gives you a comprehensive education in mathematics, aimed at mathematical physics. You study courses in complex analysis, distribution theory, and partial differential equations [+]
Students of every age must prepare to think deeply about solving the world’s most pressing problems — those at hand, and those of the future. They are tomorrow’s researchers, leaders, innovators and educators. Unfortunately, too few teachers are prepared to teach the specific nuances of Science, Technology, Engineering, and Math (STEM). [+]
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