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BSC (HONS) MATHEMATICS AND STATISTICS

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Institution C58

UCAS GG31

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

Course content

The field of modern statistics involves much more than just collecting, organising and presenting numbers. It is the source of techniques developed to help research and business to make reliable conclusions from observations that contain variation.

The BSc in Mathematics and Statistics combines the specialisation into advanced statistical techniques, with the study of the principles of mathematics, thereby offering a student who is interested in the field of statistics, an excellent grounding in both general mathematical, and statistical, theory and techniques.

Our courses are taught in small, friendly, group learning environments with high levels of support from lecturers with a wealth of experience in mathematics, statistics, and education

Studying Mathematics and statistics at Chichester:

  • offers a sound basis of knowledge, understanding and skills in the main areas of mathematics
  • encourages an understanding of advanced statistical and mathematical concepts, logical argument and deductive reasoning
  • gives you the opportunity to study applications of mathematics and statistics, and to develop problem-solving skills using mathematical and statistical processes
  • has a strong emphasis on the individual student and is designed to maximise your educational journey by enhancing your independent learning skills.

The facets and rigour developed by a student on a Mathematics and Statistics degree at Chichester University can not only enable the student to become a mathematics specialist but can allow them to apply the insight and techniques they have gained to a wide range of situations and areas outside of Mathematics or Statistics. For this reason, Mathematics and Statistics students are highly sort after, and have an extremely high level of employability within a wide variety of different fields.

Our facilities

Over the past few years, we’ve redeveloped both of our campuses so that you have the best facilities available for your degree. We pride ourselves on the quality of the learning environment we can offer our students.

At Bognor Regis campus there is an integrated approach to the provision of learning resources and support. 

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.  There are also purpose built classrooms for the teacher training courses, as well as lecture and seminar rooms. 

Our award winning Learning Resource Centre is at the heart of the campus.  It hosts a modern library service with areas for quiet and silent study on both floors. 

Also situated in the LRC is the Support and Information Zone, Costa Coffee and over 80 open access work stations. 

An equipment loans centre offers laptops, tablets and other electronic devices for short and long term loans.

Where this can take you

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 common first year with the BSc (Hons) Mathematics programme.

In the second and third years of the programme your programme of study will include:

Statistical Methods

The ability to estimate population parameters from samples is key to the business of statistics. Hypothesis testing is similar to a criminal trial where the assumption is that the defendant is innocent. The alternative assumption is that they are guilty. Statisticians test these assumptions using tried and tested methods and weigh them against the balance of probability. This requires care and judgement and clear communication of the results.

Linear Modelling

Linear modelling is used in Economics, Business and other disciplines to find a functional relationship between one or more independent variables. These functional relationship can be used to aid managerial decision making. These methods were first employed by Galton in the late 1900s to investigate the relationship between a father’s height and the son’s height.

Mathematical Statistics

Statistical modelling techniques including hypothesis testing, confidence intervals, Time Series analysis; Multivariate analysis and Bayesian statistics including Markov Chains and Monte Carlo simulation techniques.

Network Analysis

The module is designed to enable students to: Consolidate and develop their practical mathematical skills. Apply techniques to a range of contexts in graph theory. Demonstrate an increasing range of mathematical modelling skills. Demonstrate knowledge of logical systems. Demonstrate technical skill in solving practical problems. Develop the transferable skill of applying concepts and principles to the analysis of problems.

This module will consider: Connection problems; Konigsberg bridges problems; Network flows; braced rectangular frameworks and optimal routes. Problems will include: connectivity including Menger’s Theorem; telecommunication networks; flows in basic networks; flow-augmenting paths; Maximum Flow – Minimum cut; network capacity; adjacency matrices; optimal path algorithms; Critical Path analysis; bin packing algorithms.

Further applications of calculus

(Module information to come)

Stochastic processes

(Module information to come) 

Operational 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.

Optimisation Methods

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; mathematical modelling methods in optimisation. Linear programming and Simplex methods

This programme is accredited by the Institute of Mathematics and its Applications.

Graduates from this programme may apply for Chartered Mathematician status after completion of a Master’s Degree or a suitable period of professional learning in employment.

International English Studies

Include International English Studies: 

Teaching and assessment

Our mathematics degrees are taught in small, friendly, group-learning environments with high levels of individual support from lecturers with strong backgrounds in both mathematics and education. 

We believe a hands-on, interactive and participative workshop approach to learning with modest group sizes is the most effective way to develop the types of skills that employers look for in graduates.  Each module you’ll undertake is usually supported by a weekly tutor-facilitated workshop of approximately 2.5-3 hours. Group sizes are typically 20-25 students.  At the end of the workshop, you’ll normally be tasked to undertake intersession work that then feeds into the next workshop.

Our approach encourages you to be proactive and offers an environment that’s well suited to enabling you as a student to share your thinking and explore different ideas. 

You will be assessed by a variety of methods, including essays, examinations, project work and presentations and seminar discussions.  Modules are assessed at every stage of the course, offering cumulative assessment of your progress. Your academic advisor and lecturers are available for advice throughout your degree.

 

Additional Costs

Include Additional Costs: 

Additional Costs