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BSC (HONS) MATHEMATICS WITH STATISTICS

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Institution C58

UCAS GG31

Bognor Regis campus

3 Years Full Time

Entry Requirements and Fees

2020/21 UK fee: £9,250

2020/21 International fee: £13,500

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

Typical Offer (individual offers may vary):

Tariff points: 104 - 112

A Levels: BBC - BCC (including Mathematics at grade C or above)

BTEC/Cambridge Technical: DMM (including Mathematics)

Access to HE Diploma: Pass with 12 level 3 credits worth of Mathematics units at Merit.

GCSEs: English language and mathematics (C or above)

International Baccalaureate: 28 points with Higher Mathematics at 4

IELTS 6.0 overall with no element lower than 5.5

Student view

Beth
BSc (Hons) Mathematics and 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.”

Course content

Course overview

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.

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.

Why this degree?

Our Mathematics and Statistics course equips you with high level statistical skills in order to excel in your chosen career. It is taught in small, friendly, group-learning environments with high levels of individual support from lecturers.

On this course 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.

Learn more

Do you want to find out more information about this course? Come along to an Open Day. You’ll get the chance to meet our Education team, ask them questions and explore the campus. 

Read our Mathematics brochure for more information.

Our facilities

We’ve developed both of our campuses to have the best facilities available for your degree. We pride ourselves on the quality of the learning environment we can offer our students.

Learning Resource Centre

Our Learning Resource Centre is at the heart of the Bognor Regis campus.  It hosts a modern library service with areas for quiet and silent study on both floors.  We offer a substantial collection of books, journals and other materials to help you further your research. A range of study areas for group and quiet study including Wi-Fi areas for laptop use are available, or you can use our open access PC and Mac areas.  We use an electronic learning environment with an expanding portfolio of online library resources from anywhere at any time.

Support and Information Zone (SIZ)

Also situated in the Learning Resource Centre is the Support and Information Zone to help with any enquiries, over 80 open access work stations and Costa Coffee.  An equipment loans centre offers laptops, tablets and other electronic devices for short and long-term loans.

Teaching Resources

Our teaching spaces range from modern, purpose-built classrooms to a beautiful historic Grade I listed building so we can provide the learning experiences you need. We have collection of over 20,000 classroom resources for you to borrow while on placement.

The local area

It’s important to love where you live and study and the local area surrounding the University has so much to offer. With the seaside town, historic city, rolling countryside and stunning beaches, there’s plenty to explore

Visit us

Book an Open Day or Campus Tour to discover the Bognor Regis campus and the facilities it has to offer. 

Where this can take you

Career possibilities

Mathematical subject graduates are prized by a wide range of companies and employers.

The skills learnt on our degrees equip students for all sorts of roles in society, there is no one typical career undertaken by our graduates.

You'll have skills that are transferable to a diverse range of sectors including:

  • The electronics industry
  • ICT
  • Actuaries
  • Software and game designers
  • The financial sector
  • Teaching
  • Finance
  • Defence sector
  • Utilities

Further study

One of the most popular career paths is teaching, both secondary and primary. The course has close links with the PGCE curse at Chichester University and our mathematics degree equips you with the knowledge and skills you need to go on to be a successful teacher.

Other further study opportunities include doing an MSc in Data science and analytics. Run in collaboration with the University’s business school this masters degree offers you informed access to this exciting and rapidly growing field.

Where are students have gone

Careers undertaken by recent Chichester graduates:

  • Sam is a Games Designer
  • Joe works for the Civil Service
  • Lucy-Anne works for a Japanese Investment bank
  • Michael is a purchasing manager for DJM music
  • Josh is a manager at Hewlett Packard

The largest employer of statisticians in the UK is the Financial sector. Graduates are also in demand in other sectors including:

  • Government departments
  • Education
  • NHS
  • Pharmaceutical Industry
  • Marketing and Opinion Polls
  • Businesses
  • Engineering

Indicative modules

This programme has a mixture of Mathematics and 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.

Year One

Introduction to Statistical Theory

This module introduces you to data presentation, descriptive statistical analysis, use of statistical tables and hypotheses testing.

Discrete Mathematics

In this module we will mainly focus on introductory combinatorics and in particular counting techniques which will be useful in future modules such as probability and random variables.   

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.

Procedural programming

This module will introduce the you to concepts involved in procedural programming from a software development prospective. Core principles for writing code in (e.g. Python)  will be identified, discussed and used within practical situations.

​Complex Numbers and Differential Equations

You'll be introduced to mathematical communication and modelling using complex numbers, linear difference and differential equations. 

Linear Algebra 

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

Calculus II

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.

Probability and Random Variables

This module introduces you to modelling and draws on probability theory and probability distributions to solve business, engineering, science, and social problems.

Year Two

Statistical Methods

This module builds on the first-year module Introduction to Statistical Theory and looks at the central limit theorem, paired and independent samples t test and their non-parametric equivalents.

Mathematical modelling & 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.

Mathematical Analysis

This module introduces one of the fundamental areas of mathematics called analysis. Analysis can be described as a field that covers all topics which depend on the concept of limits.

Network Analysis

Network analysis provides the foundational knowledge and understanding to apply weighted and directed graphs in order to solve real-life problems of connectivity, network flow, braced frameworks and optimal routes.

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 is an introduction to complex analysis which is fundamental to higher-level mathematics. The main focus during this module will be how ideas such as differentiation extend to the complex variable setting.  

Group Theory

This module introduces you to sets, functions, and operations; and examples of sets studied include sets of integers, functions, and matrices. In addition, the module explores the algebraic structure that is revealed by all possible pairs of the elements of a set when combined using an operation.

Time Series Analysis

A time series is a sequence of data which 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.

Year Three

Optimisation

In this module we look at the theory and techniques for optimises an objective function subject to some constraints. The ideas developed in the module are widely applicable to many other subjects such as engineering which regularly face optimisation problems. 

Advanced Calculus

This module follows from the Calculus modules in levels 4 and 5 and continues the study of calculus and associated applications. Here we link Linear Algebra and calculus to investigate vector functions; extend our knowledge to include functions of a complex variable and further develop understanding of the solutions of differential equations.

​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.

​Machine Learning

Within this module we will study algorithms which allow computers to learn and improve from experience. The importance of this topic to many modern technologies cannot be overestimated.

Applied statistics

This module looks at the practice of statistics using real world datasets and statistical software. Statistical methods such as hypotheses testing and regression analysis are applied to the real datasets, and the results interpreted and reported in a professional and academic style.

Operations Research

Operations research is a field of mathematics which seeks to optimise decision-making policies. The theory and problem-solving techniques developed in this field are widely applied in business, government and the military.  

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. 

International English Studies

Include International English Studies: 

Teaching and assessment

Teaching

The University of Chichester is a recognised centre of high quality teaching, and our mathematics programmes are specifically structured to allow you to develop your range of skills and techniques, and will effectively prepare you for a variety of careers.

Our Mathematics with Statistics degree is taught in small, friendly, group-learning environments with high levels of individual support.

This degree will equip you with the essential skills and knowledge needed for employment in a wide range of sectors

Assessment

Across the BSc Mathematics with Statistics degree different methods of assessment are used.  The assessments for the programme include examinations, task sheets, computer-based tests, essays, presentations and portfolios.

Meet our experts

Our programmes are taught by a team of experienced academics who are at the forefront of their discipline. Take a look at their profiles to see who could be teaching you. 

Additional Costs

Include Additional Costs: 

Additional Costs

CONTACT US

Are you interested in this course but you’d like some more information? Get in touch and we will be happy to answer any of your questions.