BSc (Hons) Mathematics

BSc (Hons) Mathematics

Start your journey to become a chartered mathematician

Start your journey to become a chartered mathematician

G100
3 years full-time
Bognor Regis Campus
  • Explore the depths of pure and applied mathematics
  • Study on an Institute of Mathematics accredited course
  • Learn from experts in the field of mathematics
  • Smaller class sizes for better learning
A student looking on in class

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Overview

Gain in-depth knowledge, enhanced understanding, and crucial skills in the field of mathematics

Make a difference

From understanding and developing the underpinning principles of engineering so that humans can fly in aeroplanes, to the ability to launch rockets into space – throughout modern history, some of the most prized achievements of the human race have involved mathematics.

This course will allow you to explore the core of pure mathematics, along with modules from applied mathematics, statistics, and operational research.

This course is accredited by the Institute of Mathematics & its applications.

Institute of Mathematics logo

Choose your specialism

You will be able to decide whether to specialise into a certain branch of mathematics or to keep your options open by maintaining a broad range of modules.

The facets and rigour developed will not only enable you to become a mathematics specialist but will allow you the insight and techniques to open a wide range of situations and areas outside of mathematics.

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.

If you see yourself working with numbers, such as in the fields of finance, business, engineering or medicine, then this is the course for you.

On this course you will:

  • Develop a strong level of knowledge, understanding and skills across many facets of mathematics.
  • 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.

The Course

Understand abstract mathematical concepts, logical argument and deductive reasoning

You will study and consider a multitude of mathematic concepts, theories, and practicalities across your three years, culminating in a final project at the end of your final year.

You will study fundamental areas of mathematics including advanced calculus, statistical theories and applications, network analysis, machine learning, optimisation and game theory.

This list is indicative and subject to change.

Select a year

Introduction To Statistical Theory

Statistics 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 Mathematics

The 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 I

This 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.

Applied Mathematics

This module introduces students to the study of the motion of bodies (including the special case in which bodies remain at rest) in accordance with the general principles first articulated by Sir Isaac Newton and Galileo Galilei. Applied mathematics has many important applications in science, such as physics, astronomy, chemistry, Geology and engineering as well as being of great significance outside the realm of science.

Calculus II

This 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 Variables

This 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 Equations

This 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 Algebra

This module introduces you to modelling using systems of linear equations, basic and advanced matrix algebra.

Statistical Methods I

In 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.

Applications of Probability

This module aims to develop techniques in the use of probability in real-world contexts. Exploration of the theoretical mathematical models used to describe patterns of events that occur in time, and in space.

Mathematical Analysis

The 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 Analysis

In 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 III

This 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 Analysis

This 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 Theory

This 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 Analysis

This 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 Mathematics

Building on the techniques introduced in your first year applied mathematics module, this looks to develop a deeper understanding of the field of applied mathematics.

Optimisation

This 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 Calculus

This 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 Theory

Number 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.

Mathematics Project

As a result of initial planning and negotiation, a learning contract will be drawn up between individual students and the module co-ordinator. The content will, therefore, be negotiated in the light of identified needs.

Machine Learning

Within 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 Research

Operations 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 Theory

Game 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.

Experience

Discover dedicated facilities that help support your learning

Amy

Amy

BSc (Hons) Mathematics graduate
“I chose the University of Chichester because of the small community feel; small class sizes advance your learning faster and everyone is friends with everyone! My favourite thing about the campus is the lecturers, they are so friendly and accommodating that you always feel at home. The mathematics course is excellent as well, especially the employability skills that are integrated into each module, as it can sometimes be a minefield to decide what you would like to pursue after graduating. When I leave, I hope to go into software development and data analytics, which has sparked my interest during the statistical methods modules I have completed.”

Teaching and Assessment

Learn in small, friendly, and welcoming seminar style sessions

Teaching

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.

Assessment

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.

Careers

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
  • Finance
  • Investment banking
  • IT
  • Teaching
  • Purchase management
  • Civil Service
  • The electronics industry

Teaching pathways

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.

Pathways include:

  • 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 receive a 15% discount on our postgraduate courses.

Course Costs

Course fees 2022/23

UK fee
£9,250
International fee
£14,500

For further details about fees, please see our Tuition Fees page.

For further details about international scholarships, please see our Scholarships page.

Entry Requirements

UCAS
104-112
tariff points.
A Levels
BBC - BCC
including Mathematics.
BTEC
DDM
including Mathematics.
IB
26-28 points
with Higher mathematics at 5.
Access to HE Diploma
Pass
with 12 Mathematics unit at Merit.
IELTS
6.0 overall
with no element lower than 5.5

FAQs

Frequently asked questions

How do I apply?

Click the ‘Apply now’ button to go to relevant UCAS page.

What are UCAS tariff points?

Many qualifications have a UCAS Tariff value. The score depends on the qualification, and the grade you achieved.

How do I know what my UCAS tariff points are?

Head to the UCAS Tariff Points web page where you can find a tariff points calculator that can tell you how much your qualification and grades are worth.

When does this course start?

This course starts in September 2022.

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