Applied Mathematics at Aberdeen gives you all the benefits of a top-quality mathematical education in a thriving centre of mathematical teaching and research, with focus on how we apply mathematics to better understand our world today. You will have a great choice of courses, individual attention in small classes, and a challenging syllabus which emphasises reasoning, rigour and application.
Tags: Applied, Mathematics
Pure maths is about solving problems and developing theories within mathematics but applied maths is more about using mathematical theory to solve problems in other areas, including science, engineering, physics. A lot of the theory that gets developed by pure mathematicians later becomes useful for applied mathematicians (and engineers, physicists etc.).
You will learn from teachers and researchers internationally recognised as leaders in pure mathematics, especially algebra, analysis, geometry and topology and on their application to complex systems, particularly in biology.
Mathematics and computational science are used in almost every field of science, engineering, industry, and technology and a degree in Applied Mathematics is the gateway to a wide variety of challenging careers.
However, it’s not just about crunching numbers – it is about solving problems and looking for opportunities. Employers are keen to recruit mathematicians because they can think logically and analyse new developments in business, commerce or technology, opening up opportunities especially in the financial sector, computing and information technology, geophysics and data analysis.
You will thrive in our friendly and vibrant international community, on our beautiful medieval campus with great facilities for learning, sports and leisure, and the many opportunities to develop the extra skills and interests – and the broader horizons – that will give you the competitive advantage in whichever career path you choose.
This Applied Mathematics BSc programme covers the core courses as studied in the pure Mathematics BSc degree.
Additional core courses offered specifically in the Applied Maths degree include, Engineering Mathematics and Advanced Calculus. There are also a range of optional courses that can be chosen from both maths and physics areas.
Calculus is the mathematical study of change, and is used in many areas of mathematics, science, and the commercial world. This course covers differentiation, limits, finding maximum and minimum values, and continuity. There may well be some overlap with school mathematics, but the course is brisk and will go a long way quickly.
This course introduces the concepts of complex numbers, matrices and other basic notions of linear algebra over the real and complex numbers. This provides the necessary mathematical background for further study in mathematics, physics, computing science, chemistry and engineering.
The aim of the course is to provide an introduction to Integral Calculus and the theory of sequences and series, to discuss their applications to the theory of functions, and to give an introduction to the theory of functions of several variables.
This provides the necessary mathematical background for further study in mathematics, physics, computing science, chemistry and engineering.
Set theory was introduced by Cantor in 1872, who was attempting to understand the concept of "infinity" which defied the mathematical world since the Greeks. Set Theory is fundamental to modern mathematics - any mathematical theory must be formulated within the framework of set theory, or else it is deemed invalid. It is the alphabet of mathematics.
In this course we will study naive set theory. Fundamental object such as the natural numbers and the real numbers will be constructed. Structures such as partial orders and functions will be studied. And of course, we will explore infinite sets.This course, which is prescribed for level 1 students and optional for level 2 students, is studied entirely online and covers topics relating to careers and employability, equality and diversity and health, safety and wellbeing. During the course you will learn about the Aberdeen Graduate Attributes, how they are relevant to you and the opportunities available to develop your skills and attributes alongside your University studies. You will also gain an understanding of equality and diversity and health, safety and wellbeing issues. Successful completion of this course will be recorded on your Enhanced Transcript as ‘Achieved’ (non-completion will be recorded as ‘Not Achieved’). The course takes approximately 3 hours to complete and can be taken in one sitting, or spread across a number of weeks and it will be available to you throughout the academic year.
This course follows Engineering Mathematics 1 in introducing all the mathematical objects and techniques needed by engineers. It has three parts:
Linear algebra is the study of vector spaces and linear maps between them and it is a central subject within mathematics.
It provides foundations for almost all branches of mathematics and sciences in general. The techniques are used in engineering, physics, computer science, economics and others. For example, special relativity and quantum mechanics are formulated within the framework of linear algebra.
The two courses Linear Algebra I and II aim at providing a solid foundation of the subject.
Analysis provides the rigourous, foundational underpinnings of calculus. It is centred around the notion of limits: convergence within the real numbers. Related ideas, such as infinite sums (a.k.a. series), continuity, and differentiation, are also visited in this course. Care is needed to properly use the delicate formal concept of limits. At the same time, limits are often intuitive, and we aim to reconcile this intuition with correct mathematical reasoning. The emphasis throughout this course is on rigourous mathematical proofs, valid reasoning, and the avoidance of fallacious arguments.
Analysis provides the rigourous, foundational underpinnings of calculus. This course builds on the foundations in Analysis I, and explores the notions of Riemann integrability, Cauchy sequences, sequences of functions, and power series. The techniques of careful rigourous argument seen in Analysis I will be further developed. Such techniques will be applied to solve problems that would otherwise be inaccessible. As in Analysis I, the emphasis of this course is on valid mathematical proofs and correct reasoning.
This is a course in multivariable calculus. As the name suggests, it generalises familiar concepts from calculus (such as limits, derivatives, integrals and differential equations) to situations with many variables.
In addition to lectures and tutorials, there will be practical training through several computer sessions. Recommended to mathematicians and physicists.Linear algebra is the study of vector spaces and linear maps between them and it is a central subject within mathematics.
It provides foundations for almost all branches of mathematics and sciences in general. The techniques are used in engineering, physics, computer science, economics and others. For example, special relativity and quantum mechanics are formulated within the framework of linear algebra.
The two courses Linear Algebra I and II aim at providing a solid foundation of the subject.
Group theory concerns the study of symmetry. The course begins with the group axioms, which provide an abstract setting for the study of symmetry. We proceed to study subgroups, normal subgroups, and group actions in various guises. Group homomorphisms are introduced and the related isomorphism theorems are proved. Composition series are introduced and the Jordan-Holder theorem is proved. Sylow p-subgroups are introduced and the three Sylow theorems are proved. Throughout symmetric groups are consulted as a source of examples.
The aim of the course is to introduce the basic concepts of metric spaces and their associated topology, and to apply the ideas to Euclidean space and other examples.
An excellent introduction to "serious mathematics" based on the usual geometry of the n dimensional spaces.This course provides the opportunity to carry out an independent, open-ended, piece of research work. This can be in an area of physics (e.g. astronomy, nuclear physics, superconductors, dynamical systems etc.) or in related subjects where physicists tools can be applied (e.g. generation of proteins, biomechanics, infectious diseases etc.). The project can be dissertation based, practical or computational. You will develop: presentation skills; experience of reading and thinking about a specialist topic in depth; critical analysis skills of your own and other people’s scientific work and project management skills. This will help prepare you for your future career beyond university.
This course covers the fundamental mathematical concepts required for the description of dynamical systems, i.e., systems that change in time. It discusses nonlinear systems, for which typically no analytical solutions can be found; these systems are pivotal for the description of natural systems in physics, engineering, biology etc. Emphasis will be on the study of phase spaces.
Next to the theory of relativity and quantum mechanics, chaos and dynamical systems theory is been considered as one of three major advances in the natural sciences. This course offers the mathematics behind this paradigm changing theory.
This second part of the course covers more advanced mathematical concepts required for the description of dynamical systems. It continues the study of nonlinear systems, for which typically no analytical solutions can be found; these systems are pivotal for the description of natural systems.
Emphasis will be on the study of higher dimensional and chaotic systems. This second part of the course introduces stability criteria for more complex systems and outlines several key results that govern the behaviour of nonlinear dynamical system, such as requirements for chaotic behaviour and recurrence properties.This course was designed to show you what you can do with everything you learnt in your degree. We will use mathematical techniques to describe a fast variety of “real-world” systems: spreading of infectious diseases, onset of war, opinion formation, social systems, reliability of a space craft, patterns on the fur of animals (morphogenesis), formation of galaxies, traffic jams and others. This course will boost your employability and it will be exciting to see how everything you learnt comes together.
We will endeavour to make all course options available; however, these may be subject to timetabling and other constraints. Please see our InfoHub pages for further information.
Students are assessed by any combination of three assessment methods:
The exact mix of these methods differs between subject areas, year of study and individual courses.
Honours projects are typically assessed on the basis of a written dissertation.
You will be classified as one of the fee categories below.
Fee category | Status | Amount |
---|---|---|
Home / EU | All Students | £1,820 |
RUK | All Students | £9,000 |
International Students | Students admitted in 2016/17 | £17,200 |
International Students | Students admitted in 2017/18 | £18,000 |
View all funding options in our Funding Database.
SQA Highers - AABB*A Levels - BBB* IB - 32 points, 5 at HL* ILC - AAABB (B1 or B2 required)*
* SQA Higher or GCE A Level or equivalent qualification in Mathematics is required and one other Mathematics/Science subject.
Advanced Entry - Advanced Highers ABB or A Levels ABB or IB 34 points (6 at HL), including A in Mathematics.
Further detailed entry requirements for Sciences degrees.
To study for a degree at the University of Aberdeen it is essential that you can speak, understand, read, and write English fluently. Read more about specific English Language requirements here.
Applied mathematicians go on to careers in computer science, engineering, and business. You may decide to specialise and study to postgraduate level or you may decide to work and specialise at the same time.
You will be taught by a range of experts including professors, lecturers, teaching fellows and postgraduate tutors. Staff changes will occur from time to time; please see our InfoHub pages for further information.
Unistats draws together comparable information in areas students have identified as important in making decisions about what and where to study. The core information it contains is called the Key Information Set.
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