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Welcome

Maths and Applied StatsMaths halfApplied Stats half

Stafford Joints:

Staffordshire UniversityFaculty of Computing, Engineering and Technology

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Faculty Joints Scheme

This is an opportunity to pick your own degree title from a wide range of half degrees that are on offer

What is a joint degree? The study of two subjects rather than one in equal (or

near equal) measure

Is it as good as a single honours degree? It is different, but yes it is as good You will not study one subject in so much depth but,

instead, two subjects in half the depth It means you have a broader education

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General Academic Details

Typically there are 3 years of study plus an optional year in placement

A year has two semesters 12 weeks long Typically study 4 modules per semester Each module has 3 – 4 hours of contact per week Students are expected to undertake100 hours or so

of further independent study per module Assessment is different for each module. Your

maths/stats half will typically consist of a mixture of coursework, exams, and group work.

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Joints Structure

Year 1 Sem 1 Subject A Subject A Study Skills Subject B

Year 1 Sem 2 Subject A OPTION Subject B Subject B

Year 2 Sem 1 Subject A Subject A OPTION Subject B

Year 2 Sem 2 Subject A OPTION Subject B Subject B

Optional Placement

Year 3 Sem 1 Subject AProject

ResearchOPTION Subject B

Year 3 Sem 2 Subject AProject Design

Project Implement

Subject B

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Maths Half

Year 1 Sem 1Maths Software with Applications

Catch-up Maths or OPTION

Study Skills B

Year 1 Sem 2 Maths PrinciplesMaths and

AlgorithmicsB B

Year 2 Sem 1Engineering

Maths Apps 1OPTION OPTION

B

Year 2 Sem 2Mathematical

ModellingDeterministic

OR TechsB B

Optional Placement

Year 3 Sem 1Diff Equations:

Com’g & Model’gProject

ResearchOPTION

B

Year 3 Sem 2Chaos and

FractalsProject Design

Project Implement

B

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Maths Half

Level 1 – Tool kit

Discovering independent learner skills Study Skills Catch-up from AS level if needed Mathematical computing, simulations, numerical

differentiation and integration, geometric modelling Logic, matrices, vectors, mechanics, kinetics Further differentiation, probability, complex numbers,

algorithms

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Maths Half

Level 2 – Development

Honing independent learner skills Differential and difference equations, maple Modelling, simulations, differential equations,

packages Operating efficiency, linear programming, networks,

inventory control

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Maths Half

Level 3 – Graduate

Emerging independent learner More sophisticated modelling with differential eqns Chaos and fractals PROJECT

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Applied Statistics Half

Year 1 Sem 1Maths & Statistics for Computing Students

Statistical Investigations

Study SkillsB

Year 1 Sem 2 Probability Models OPTION B B

Year 2 Sem 1Business Forecasting

and PlanningQuestionnaire & Data Analysis

OPTIONB

Year 2 Sem 2 Statistical InferenceOPTION

B B

Optional Placement

Year 3 Sem 1 Experimental DesignProject

ResearchOPTION

B

Year 3 Sem 2 Statistical Modelling Project DesignProject

ImplementB

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Applied Statistics Half

Level 1 – Tool kit

Discovering independent learner skills Study Skills Matrices, differentiation, integration, sets Data types, collecting and presenting data, descriptive

stats, writing stats reports, software Probability rules and distributions, common probability

distributions, goodness of fit test

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Applied Statistics Half

Level 2 – Development

Honing independent learner skills Statistical inference from a sample, hypothesis tests,

confidence intervals, sample sizes Forecasting, stock control, correlation and regression Survey – conduct and analyse SPSS throughout

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Applied Statistics Half

Level 3 – Graduate

Emerging independent learner Design of experiments and the analysis of the

resulting data: designs, regression techniques, SPSS PROJECT

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Mathematics and Applied Statistics

Year 1 Sem 1Maths

Software with Applications

Study SkillsStatistical Investigations

Catch-up maths

or OPTION

Year 1 Sem 2Maths

PrinciplesMaths and

Algorithmics

OPTION instead of MSCS – Spreadsheet Modelling Techniques

Probability Models

Year 2 Sem 1Engineering

Maths Apps 1

OPTION – Database Systems

Questionnaire & Data Analysis

Business Forecasting &

Planning

Year 2 Sem 2Mathematical

ModellingDeterministic

OR Techs

OPTION – Financial Mod with Dec Making OR Eng Maths Apps 2

Statistical Inference

Optional Placement

Year 3 Sem 1Diff Equations:

Com’g & Mod’gProject

ResearchOPTION - Spreadsheet Automation with VBA

Experimental Design

Year 3 Sem 2Chaos and

FractalsProject Design

Project ImplementStatistical Modelling

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Options – maths and stats

For the Mathematics and Applied Statistics award:– you are strongly recommended to take the two

spreadsheet modules as detailed in the previous Maths and Applied Statistics structure

– there are computing modules available in areas such as web design, programming, databases, ...

– there are options available outside of the faculty, e.g. business, environmental sciences, career planning, ...

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Options – halves

For the Mathematics and Applied Statistics halves:– you are recommended at level 2 and 3 to take

spreadsheet based options, a mathematician/ statistician will be assumed to be good at using Excel

– Additionally there are options available in:• the opposite half, e.g. in stats if taking maths • engineering maths and programming• computing areas such as web design, programming,

databases, ... • areas outside of the faculty, e.g. business,

environmental sciences, career planning, ...

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Entry Requirements

240 points – which is typically 3Cs at A level 200 A level pts & 40 from elsewhere e.g. AS BTEC national certificate DD/Diploma MMM Access to HE Diploma

Allocate 40 points if successful interview For Maths Half/Maths and Applied Statistics usually

expect A-level Maths but do allow entrants with lower (e.g. AS Maths) if we believe the entrant will be successful (but must take extra catch-up maths module in Sem 1 Year 1)

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Award Aims and Objectives

Application of mathematical and/or statistical tools to the analysis of a range of problems

Use of mathematical and/or statistical, and computer models

Develop skills in written, verbal, and visual communication

Preparation for a successful career requiring the practical application of maths and/or statistics

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Potential Careers

Statistician, e.g. government Teaching Insurance & actuarial Work Health and pharmaceutical companies Many graduate entry careers, e.g. computing,

engineering, accountancy and finance Any area that requires analytical skills, e.g. lean

sigma, credit analysis, operational performance Many other areas since maths/stats is respected

for producing analytical and logical graduates

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Further Information

We hope to see you in the future but in the meantime if you have any queries, please do not hesitate to contact us at the following as detailed on your information pack: fcet@staffs.ac.uk