文学硕士-数学

文学硕士（MA）学位有两种途径，分别是课程工作或论文。MA可以为教育，地区和国家政府机构，私营部门以及工业界的就业做好准备。该学位也是哲学博士（PhD）的入学资格。数学在所有层次上都是有价值的，它既可以作为对物理系统进行定量建模的工具，又可以作为支撑和描述过程，对象或结构的逻辑框架。
A short definition of Mathematics would be the study of quantities and how they are measured, combined, related, and operated upon.We use mathematics for practical things like organising the arrival of materials on a building site in order to reduce storage, encrypting and decrypting internet messages, modelling blood flow through a damaged heart, and predicting the break-up of ice floes.These are all mathematics in action mathematics making a real difference in the world where we live. Mathematics looks at the distribution of prime numbers, the properties of geometric figures, how dependent variables change, and what happens when you add up infinitely many terms.You build a solid foundation for analysing and understanding the mass of quantitative data that is available these days. You develop problem solving and organisational skills that are highly sought after by employers. You learn to think both logically and creatively. You discover an amazingly varied and profoundly rich science that has an intrinsic beauty. You get your mind around some of the ancient problems that have fascinated humans for centuries.<br>Career options for Mathematics graduates are much wider than you might think. Many students take jobs where mathematics is not the main focus of the business, and yet their mathematical skills are their greatest asset. That is because mathematics and the analytical and logical thinking that it teaches are vital in understanding and solving all manner of quantitative problems, from electricity generation to data compression, from weather forecasting to the study of bone density loss.Mathematics graduates, especially those with a well-rounded background in mathematical, statistical, and computer skills, have a qualification that integrates perfectly into the modern, technology-based world. Applied mathematicians are in demand wherever employers need deterministic models, for example, in seismology and the earth sciences, meteorology, the chemical and forensic industries, health, ecology and conservation, transportation and scheduling, engineering, and computing, to name a few. And for those with both applied Mathematics and Statistics, i.e. a background in both deterministic and stochastic models, one can add to the above list the areas of social science, financial services and insurance, epidemiology, quality assurance, economics, policy, government, and many others.