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We've been helping students find the right postgraduate course for over a decade.
Masters degrees in Numerical Analysis involved advanced study of algorithms to obtain approximate numerical results to mathematical problems.
Related postgraduate specialisms include Applied Mathematics, Computational Mathematics and Systems Analytics. Entry requirements typically include an undergraduate degree in an appropriate Mathematics discipline.
Mathematical Analysis is applicable to a huge range of industries and professional practices; as such, your expertise in this field can open up a wide selection of career opportunities.
For example, being able to compute the sides of a triangle and approximate square roots is essential for practices such as astronomy, carpentry, and construction. Other analytical methods – differential equations, numerical linear algebra, and stochastic differential equations, for example – are also important in celestial mechanics, data analysis and medicine.
So, you might be employed to predict the motions of celestial objects to help with the development of satellites and spacecraft. Alternatively, you may work within the medical or pharmaceutical industries, modelling bodily responses to different substances.
You could also work within government departments to collate data about military systems, or on behalf of environmental regulatory authorities to combat climate change.
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Gain an understanding of advanced mathematics, concentrating on pure, applied and numerical mathematics. This grounding allows you to choose the mathematical orientation that best fits your tastes and aspirations. Read more
Why does one car have more air resistance than another? How can the frequency of the electric power smart grid be kept constant under external disturbances? 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. Read more
The recent progress in several fields of theoretical physics (such as high energy physics, astrophysics, quantum and nonlinear optics or condensed matter physics) required numerous very sophisticated mathematical tools. Read more
Understand the main aspects of quantitative finance – including general finance theory, finance models and programming for graduates with a science, engineering and mathematics background. Read more
USF’s one-year Master of Science in Analytics (MSAN) program delivers a rigorous curriculum focused on mathematical and computational techniques in the emerging field of data science. Read more
The Master of Science in Business Analytics programme at the HKU Business School offers a comprehensive curriculum that aims to help students develop both hard and soft skills related to business analytics throughout the programme. Read more
In addition to being a science in its own right, mathematics plays a fundamental role in the quantitative areas of practically all other academic disciplines, particularly in the natural sciences, engineering, business administration, economics, medicine and psychology. Read more
An MPhil/PhD is an advanced postgraduate research degree that requires original research and the submission of a substantial dissertation of 60,000 to 100,000 words. Read more
The MSc in Mathematics is ideal if you want to build on your BSc, extend your knowledge through a wider spread of topics, and demonstrate your literature research skills with an extended dissertation. Read more
If you want to work at top level in financial services, domestic energy, pensions, banking, insurance and other industries reliant on mathematics to provide programming and analysis of big data this programme will help you apply your skills to these industries and many others. Read more
Globally, financial tools, products and software are becoming increasingly complex and sophisticated. There's a demand for market-aware graduates who can demonstrate an understanding of mathematical models used in these products. Read more