Mathematics is the science of quantity, space and spatial relations, change and structure. It employs theories and methods to discover patterns and formulate laws. Through abstraction and logical reasoning, mathematics is used for counting, calculations and measurements of any kind. This science is very frequently used in day to day life and is essential even for the activity of many other fields. Applied mathematics is focused on the use of mathematical knowledge in other fields like science and engineering, while pure mathematics is concerned with the filed itself. Statistics, game theory and computational mathematics are a few of the disciplines that have evolved from applied mathematics.
A student graduating from mathematics studies will have numeracy skills, knowledge of arithmetic, algebra, geometry, trigonometry, good grasp of mathematical concepts and strong deductive reasoning, just to name a few. The graduates can also dedicate themselves to a teaching oriented career, in which they have to combine the mathematics related knowledge with pedagogy skills and convey the knowledge further to students.
The Master in Mathematics at the University of Luxembourg provides a broad education and a strong background in Mathematics. It enables our students to proceed to the forefront of knowledge in one of the major fields of present-day Mathematics.
The Masters Actuarial Science course has been designed to fit in well with study leave packages commonly offered by actuarial employers. Students will be expected to attend lectures on only one full day per week during term time over two academic years.
The MSc in Financial Mathematics gives you the tools necessary to undertake high quality research in both financial and academic institutions. This programme is rigorous with respect to the mathematics but also links the theory with real world developments.
The one-year MSc in Mathematical Trading & Finance prepares you for the sophisticated new investment opportunities, risks and instruments created by financial innovation and globalisation.
Join us to gain a deep theoretical and conceptual knowledge of finance, economics, and quantitative skills. Prepare for a career using sophisticated technical financial tools within financial engineering, risk management, and the most highly quantitative roles.
Statistics - Teaching is based on the most recent research, using mathematical background, needed in statistics, and forms a solid basis for PhD studies. Teaching and research is based both on classical statistics and Bayesian approaches.
Mathematical finance is an area of applied mathematics where concepts and techniques that lie close to the heart of pure mathematics are applied routinely to solve a great variety of important practical problems arising in the day-to-day business of the world's financial institutions.
This programme is designed for well-qualified students who wish to continue their mathematical studies beyond the level reached in a BSc degree (or equivalent). It provides students with opportunities to deepen and broaden their knowledge of mathematics and to engage in a significant research project under the supervision of a member of the Department of Mathematics.
You will study in a welcoming and informal yet research-intensive atmosphere. The degree programmes are flexible, and you can match the studies to your academic interests. While writing your Master’s thesis during the final year of your study, you will have an excellent opportunity to take part in current research projects running at the Department. A Master of Science degree at the Department of Mathematics and Statistics forms a solid basis for PhD studies.
The sequencing of the human genome has been one of the most significant scientific advances of the last few decades and could not have been achieved without bioinformatics. Bioinformatics now plays a key role not only in genetics but in many other fields, such as AIDS research and cancer therapy. Saarland University is one of the leading centres of bioinformatics in Germany.
The Master of Science program in mathematics at Emporia State University provides excellent preparation for a number of career objectives. Some graduates of the program obtain academic appointments in community colleges or find employment in business and industry. Others have continued their education by pursuing a doctorate degree at another institution.
Traditionally number theory used the methods of algebra and analysis, to solve problems such as finding the number of integral of solutions of equations. In recent times geometric methods have been playing a more important role. Also, number theory has important applications in areas such as cryptography, theoretical computer science, and numerical mathematics. The ALGANT master course aims at introducing students into the latest developments of this fascinating subject.