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Gain a sound basis of knowledge, understanding and skills in the areas of mathematics and statistics
See the world differently
The field of modern statistics involves much more than just collecting, organising and presenting numbers. It is the source of methods and techniques which aid research and business to make reliable conclusions from observations that contain variation.
This course explores the essential cores of mathematics alongside a more in-depth understanding of modern statistics, as you build an understanding of the application of mathematics and data analysis.
This course is accredited by the Institute of Mathematics & its applications.
Explore the applications of mathematics and statistics
The facets and rigour developed will not only enable you to become a specialist in the fields of mathematics and statistics, but also allow you the insight and techniques to open a wide range of situations and areas outside of mathematics.
You will build an understanding of the applications of mathematics, statistics and data analysis with a particular focus on the emerging field of data science. You will also have the opportunity to use current software packages to develop your understanding of the subject.
This course has been accredited by the Institute of Mathematics and its applications, which means that all graduates meet the educational requirements to become chartered mathematicians.
On this course you will:
- Develop a strong level of knowledge, understanding and skills across many facets of mathematics and statistics.
- Discover and understand abstract mathematical concepts, logical argument and deductive reasoning.
- Provide a strong emphasis on personal development and is designed to maximise your educational journey and enhance your independent learning skills.
Learn to understand abstract mathematical and statistical concepts
This programme has a mixture of Mathematics with statistics modules.
It has been specifically designed in order you to progressively develop and hone your general mathematical skills, as well as creating a deep understanding of the theory and application of statistics.
You will study and consider a multitude of mathematic concepts, theories, and practicalities across you three years, culminating in a final project at the end of your final year.
In addition, you will have the opportunity to use the latest software packages to develop your understanding of the subject and develop how to solve problems through the application of mathematical and statistical methods that are used in modern society.
Select a year
Introduction To Statistical TheoryStatistics involves the analysis and interpretation of data with a view to making more informed decisions. As such, its importance in the 21st century can hardly be overstated: statistical techniques are fundamental tools in Data Science, Economics and Biology, to name a few. In this module, you will gain an introduction to statistical inference and investigate topics such as point and interval estimation, hypothesis testing, and regression models.
Discrete MathematicsThe content of all the mathematics modules follows the overarching principle of developing students' technical ability, development of knowledge into areas of mathematical structure, proof and formality, continuity, discrete procedures, limiting processes, mathematical modelling and interpretation of space. This module's content will be taken from mathematical techniques/areas such as languages, automata, and grammars; finite-state and Turing machines; ordered sets; lattices; set theory; functions; countable and uncountable sets; combinatorics; recurrence relations.
Calculus IThis module builds on the material covered at A level and introduces some new fundamental areas of mathematics. Differential Calculus will be extended and you will start the study of the applications of differentials, as you learn to apply these to a variety of contexts including optimisation problems.
Calculus IIThis module builds on the material covered at A level and introduces some new fundamental areas of mathematics. You will explore Integral Calculus in more detail and begin to study of the applications of integrals. These techniques will be applied to a variety of contexts including area and volumes.
Probability And Random VariablesThis module provides a grounding in the theory of probability, and is an essential precursor for the subsequent study of mathematical statistics and operations research. The emphasis will be on modelling real situations, including probability calculations motivated by statistical problems.
Complex Numbers and Differential EquationsThis course begins with the introduction of a new number: the square root of minus 1. Throughout the module, you will see that working with complex numbers can often improve our understanding of certain mathematical processes and greatly simplify calculations. In the second part of the course, you will discover how to apply differential equations to model a vast array of physical phenomena and learn techniques for solving them.
Linear AlgebraThis module introduces you to modelling using systems of linear equations, basic and advanced matrix algebra.
Procedural ProgrammingOn this module you will discover the concepts involved in procedural programming from a software development prospective. You will identify core principles for writing code in Python and use these in practical situations. During practical work you will use various tools to assess requirements, design, create and test a program (including error handling) within a business situation.
Statistical Methods IIn this module, you will build on the material introduced in the first-year module to take a more in-depth look at the idea of estimation. You will learn how to compare the relative strengths and weaknesses of estimators and how you would find good estimators. We will guide you as to how to answer such these concepts, as this is crucial to being able to make sensible predictions from given datasets.
Mathematical AnalysisThe subject of mathematical analysis puts calculus on a rigorous foundation. The key concept underlying the whole course is that of "limit". The purpose of analysis is to develop a solid understanding of when familiar techniques of calculus apply and what can go wrong when they do not. As the module develops, you will study topics such as the convergence of sequences and series, the continuity of functions, and the operations of differentiation and integration.
Network AnalysisIn recent years, interest in the theory of complex networks has exploded. The advent of social media and progress in artificial intelligence have made network analysis into an indispensable tool. In this course, you will study the mathematical theory that underlies network analysis; namely, graph theory. Graph theory is an exciting and rich subject in its own right and many of its results and principles will be studied in this module.
Calculus IIIThis module builds on the material covered within the first year calculus courses. Calculus will be extended to functions of more than one variable and applications of partial differentiation and multiple integrals.
Complex AnalysisThis module explores how complex analysis is concerned with extending the familiar notions of differentiation and integration to functions of a complex variable. Perhaps surprisingly, this apparent increase in sophistication results in a host of spectacularly strong results. Applications abound; aside from techniques that reduce seemingly impossible integrals to straightforward calculations, complex analysis also underpins the notion of Fourier transform, which is central in various branches of physics and engineering.
Group TheoryThis modules explores how groups were introduced in an attempt to study one of the most fundamental aspects of nature: symmetry. As an example, the 6 symmetries of an equilateral triangle form a group: every symmetry has a counterpart inverse symmetry, and any two symmetries can be combined to obtain another. Since the concept of symmetry is so widely applicable, the theory of groups touches almost every branch of pure and applied mathematics.
Time Series AnalysisThis module introduced you to the concept of a time series: a sequence of data that has been recorded in time order. The goal of this module is to try and understand how consecutive data points in a time series are dependent on each other. This dependence then allows us to create statistical models which can be used to forecast future values.
Further Applied MathematicsBuilding on the techniques introduced in your first year applied mathematics module, this looks to develop a deeper understanding of the field of applied mathematics.
Mathematical Modelling and Numerical AnalysisThis module introduces formulating numerical problems and building models to address and derive numerical solutions. It also provides you with the knowledge and understanding of mathematical and statistical principles appropriate to interpret numerical findings and draw justified conclusions.
OptimisationThis module explores the methods, theories, and applications of optimisation. You will study Iterative Methods and errors; root finding; systems of linear equations; Gaussian elimination; matrices and LU decomposition; vector and matrix norms; ill-conditioning; induced stability; systems of non-linear equations.
Advanced CalculusThis module aims to extend familiar notions from calculus to settings that involve functions of more than one variable. The resulting subject, known as vector calculus, is fundamentally important in branches of applied mathematics such as fluid dynamics and electromagnetism. One of the central results of the course is Stokes's Theorem, which ties together many of the concepts studied.
Applied Statistics<span style="font-size: 13.0pt; color: black;">This module will equip you with a range of techniques used regularly by practising statisticians. In addition to discussing the mathematical theory behind these techniques, the module also introduces statistical software that can be used to conduct them. The material covered, together with that taught in earlier years, is fundamental if you are looking to enter a career involving data analysis and interpretation.</span><span style="color: black;"> </span>
Number TheoryNumber theory is the study of whole numbers. Number facts have intrigued most people at some stage in their education, and in addition to its inherent fascination, number theory has turned out to have practical applications in recent years such as encryption. You will explore the historical theories around numbers and critically engage with the literature that surrounds them.
Machine LearningWithin this module, we will study algorithms that allows computers to learn and improve from experience. The importance of this topic to many modern technologies cannot be overestimated.
Operations ResearchOperations research is simply a quantitative approach to decision making that seeks to best design and operate a system (in this case an organisation of interdependent components) usually under conditions requiring the allocation of scarce resources. Elements of OR have been covered in previous modules and this module is designed to bring these elements together to create a suite of decision making tools.
Advanced Game TheoryGame theory tries to model how decision markers interact during situations of conflict or cooperation. The implications of this theory are widespread and have had a significant impact on many subjects including economic, biology and computer sciences.
Data Science and AnalyticsThis module will introduce you to data science and analytics, overview challenges and solutions in this area, present approaches to data mining and techniques suitable for new information discovery. Visualization tools and performance metrics are also considered within the module.
Mathematics with Statistics ProjectIn this module, you will pursue and manage an individual study in mathematics which has a strong statistical component or an individual study which is purely statistics based. During the study you will become familiar with the major concepts and developments in the chosen field and the Mathematics with statistics project is designed to enable you to explore an interest not otherwise covered by the modules you have previously taken, or explore a topic drawn from one of those courses, but to be taken in greater depth or in different directions.
Discover dedicated facilities that help support your learning
Learning Resource Centre
Subject specific librarians
Teaching and Assessment
Learn in small, friendly, and welcoming seminar style sessions
You will learn from experienced mathematics specialists to support you academic learning and personal development.
Our commitment to smaller class sizes allows you to feel more confident to discuss and explore your ideas in a supportive environment,
It also ensures that your tutors get to know you and how best to aid your development.
The assessments for the programme include examinations, task sheets, and computer-based test,
There are high levels of individual support throughout to ensure that you feel confident to take each step in your journey towards your degree.
Explore the opportunity to study part of your course abroad
As a student at the University of Chichester, you can explore opportunities to study abroad during your studies as you enrich and broaden your educational experiences.
Students who have undertaken this in the past have found it to be an amazing experience to broaden their horizons, a great opportunity to meet new people, undertake further travelling and to immerse themselves within a new culture.
You will be fully supported throughout the process to help find the right destination institution for you and your course. We can take you through everything that you will need to consider, from visas to financial support, to help ensure that you can get the best out of your time studying abroad.
Open up a wide range of future career opportunities
If you see yourself working with numbers, either in the fields of finance, business, engineering or medicine, then this is the course for you.
Our Mathematics graduates are highly-valued and have an extremely high-level of employability within a wide variety of different fields.
The skills learnt on our degree equips you for all sorts of roles in society; there is no one typical career undertaken by our graduates.
Mathematics graduates from the University of Chichester have progressed into a wide variety of successful career paths including, software designer, investment banker, purchasing manager, as well as roles within the Civil Service, Hewlett Packard, and the Police.
Career paths include:
- Software design
- Investment banking
- Purchase management
- Civil Service
- The electronics industry
One of the most popular career paths is teaching, both secondary and primary.
Our degree courses equip you with the knowledge and skills you need to be a successful teacher.
At Chichester, we have a long and distinguished 180-year history of training teachers, and we offer a number of postgraduate pathways into teaching.
- PGCE Early Years
- PGCE Primary
- PGCE Primary (Modern Foreign Languages)
- PGCE Secondary Mathematics
- School Direct
Further study options
Other further study opportunities include doing an MSc in Data Science and Analytics.
Run in collaboration with the University’s business school this master’s degree offers you informed access to this exciting and rapidly growing field.
University of Chichester alumni who have completed a full undergraduate degree at the University will receive a 15% discount on their postgraduate fees.
Course fees 2022/23
Access to HE Diploma
Frequently asked questions
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