BSc (Hons) Mathematics with Statistics

BSc (Hons) Mathematics with Statistics

Develop your understanding of mathematics and statistics

Develop your understanding of mathematics and statistics

G100
3 years full-time
Bognor Regis Campus
  • Become a specialist in the field of modern statistics
  • Study on an Institute of Mathematics accredited course
  • Learn from experts in the field of mathematics
  • Smaller class sizes for better learning
Students listening closely during a lecture

Top 30

UK University

1. Guardian University Guide 2022

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best university in the UK

2. National Student Survey 2021

5 Star

Rating for inclusiveness, teaching, and facilities

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Overview

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.

Institute of Mathematics logo

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.

The Course

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.

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.

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.

Mathematical Modelling and Numerical Analysis

This 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.

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.

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.

Mathematical Modelling and Numerical Analysis

This 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.

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.

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.

Data Science and Analytics

This 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 Project

In 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.

Experience

Discover dedicated facilities that help support your learning

Beth

Beth

BSc (Hons) Mathematics with Statistics
“My future goal is to complete a PGCE and become a secondary school mathematics teacher, and felt that a degree in mathematics would help me in this goal. I chose Chichester University as it is a lovely campus and was smaller than other universities, a fact which has meant that in classes we all get more one-to-one time. The lecturers are easy to see and quick to help with any problems/questions you have concerning the course, structure, or content.”

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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