Post on 18-Jan-2019
CONTENTS
Section Page1 Introduction 32 Modules, Pathways, Routes and
Programmes of Study4
3 Pathway DirectoryMathematical SciencesStatistical SciencesMathematical Business Analysis
5a (Inserts)5b5e5h
4 Advice about choice of Pathways 6Mathematical SciencesStatistical SciencesMathematical Business AnalysisTeaching Qualifications :BA with Qualified Teacher Status
681012
5 List of modules plus pre-requisites
diagram15
6 Brief Module Descriptions 197 Staff 348 Pathway Leaders 359 Careers and Research 3510 Programme and Award regulations ;
industrial placement; timetable36
staff2000 Page 1 5/13/2023/tt/file_convert/5c414c5793f3c338dc254d55/document.doc
1. Introduction and welcome to ‘Maths and Stats’
‘Maths and Stats’ in the University refers to the subjects pure mathematics, mathematical methods, statistics and operational research which are all branches of mathematics. Both mathematics and statistics are the traditional subjects you probably studied at school or college; operational research is a newer branch of maths which originated during the 1939-1945 world war.
If you want to study mathematics, you will find yourself learning not only about mathematics but about statistics and operational research as well. This will widen your opportunities for careers in mathematics and you will find the two ‘extra’ subjects extend and complement the study of mathematics thus giving you more choice.
During your time in the University, you will learn and understand the content associated with maths and stats - the so-called knowledge and understanding part of the subject. You will also develop mathematical skills such as writing technical reports and using mathematical computer software. These are part of the professional skills a mathematician needs to perform his or her job properly.
In addition to the professional skills, you will also find yourself developing skills such as skills of communication, skills of information technology, and skills of working in groups. You will also develop literacy skills (such as those required for report writing) and, importantly, you will develop the skills of ‘learning how to learn’ so that you can continue to develop after you have left the University.
Also, during your studies, you will develop intellectual skills. So, for example, you will learn how to ‘evaluate’, learn how to ‘criticise’ and learn how to ‘analyse’. This will ensure that when you go out into the real world, you will have the skills of a well developed graduate.
As a graduate in mathematics, you will be expected to have a theoretical knowledge of the topics you have studied. However, the main emphasis of your studies in maths and stats within the University is practice-based rather than theoretically based. This means that a strong emphasis is given to applications, including the use of computer software and the development of professional skills.
As a final word, maths and stats has, of course, a web site within the University. It is situated at http://pers-www.wlv.ac.uk/~cm1993/maths/
staff2000 Page 2 5/13/2023/tt/file_convert/5c414c5793f3c338dc254d55/document.doc
2. Modules, Pathways, Routes and Programmes of Study
What is a module?
All our courses are made up of units called modules which contribute towards your final degree/diploma, known as an ‘award’. You need to register and pass a certain number of modules which fall into three types:
1) Core – you must study and pass all these compulsory modules to meet the requirements of your award
2) Core option – you must choose a set number from this group of modules in order to meet your course requirements
3) Elective – you make up the balance of your award with electives. This scheme allows you to include more modules from your subject(s), select modules from a different subject area or choose modules that are skills-based. In addition, the University Elective Programme (UEP) enables you to select blocks of modules in Languages, Information Technology or Business to provide a specific ‘flavour’ to your programme of study.
What is a pathway?
In the University there are two different types of course depending upon what you applied for:
1) Specialist – This enables you to study one particular subject area in real depth2) Joint – Allows you to study two subjects that complement each other
These courses are all made up of modules and the rules governing which modules you must study for your particular course are called pathway rules and consist of:
Specialist pathways
i) A maximum of 90 credits of core or core option modules in each year (level) of studyii) A minimum of 60 credits of core or core option modules in each year (level) of studyiii) 30 credits of elective modules in each year (level) of study
Joint pathways
45 credits of core or core option modules in each year (level) of study
staff2000 Page 3 5/13/2023/tt/file_convert/5c414c5793f3c338dc254d55/document.doc
What is a route?
A route is a set of pathways for which you are registered and which leads to your final award:
For a specialist route, you will be registered for a single specialist pathway
eg. BSc (Hons) Psychology or BA (Hons) English
For a specialist route, the pathway rules require you to select the specified number of core option modules and then choose your elective modules to match your interests and possible career ambitions.
For a joint route, you will be registered for two pathways, one from each of your chosen subjects:
eg. the award of BSc (Hons) Computing and Biology is made up of the Computing joint pathway and the Biology joint pathway
For a joint route consisting of subjects A and B, you will need to:
combine the two joint pathways involved choose any necessary core option modules in either or both pathways choose your 30 credits of elective modules which can be;
1) 30 more credits of subject A2) 30 more credits of subject B3) 15 more credits of subject A and 15 credits of subject B4) 15 or 30 credits of another subject5) University Elective Programme
What is a programme of study?
A programme of study is a record of the modules you have registered for, after you have chosen your core option and elective modules. This choice should be made with the help and advice of an academic counsellor. You will receive a transcript on a regular basis showing your programme of study, consisting of your modules and graded results.
staff2000 Page 4 5/13/2023/tt/file_convert/5c414c5793f3c338dc254d55/document.doc
3. Pathway DirectoryMATHEMATICAL SCIENCES pathway
Pathway Definition Form
Completed by Ray Binns School SCIT
Pathway Type
JOINT
Pathway Code
Leave blank Pathway Name
Mathematical Sciences Joint
Level 1
Core ModulesModule Code
Module name Semester Credits
MM1008 Introductory Maths Methods SEM 1 15ST1101 Introductory Statistics SEM 1 & 2 15MM1116 Further Maths SEM 2 15
Core Option Modules: None
Pathway CodeLevel 2
Core ModulesModule Code
Module name Semester Credits
MM2282 Maths Methods 1 SEM 1 15ST2204 Applied Statistics SEM 1 15MM2208 Basic techniques of OR SEM 2 15
Core Option Modules: None
Pathway Code
staff2000 Page 5 5/13/2023/tt/file_convert/5c414c5793f3c338dc254d55/document.doc
Level 3
Core Modules: None
Core Option Modules
you must select either
15 credits from Group A and 30 credits from Group Bor45 credits from Group B
Module Group
Module Code
Module name Semester Credits
A MM3333 15 credit project SEM 1 & 2
15
B MM3002 Industrial Statistics SEM 2 15B MM3004 Investigations in Maths 1 SEM 1 15B MM3005 Investigations in Maths 2 SEM 2 15B MM3315 OR (Simulation and Production Planning) SEM 1 15B MM3318 OR (Mathematical Programming) SEM 2 15B MM3330 Applied Multivariate Statistical Analysis SEM 1 15B ST3000 Investigations in Statistics SEM 2 15
staff2000 Page 6 5/13/2023/tt/file_convert/5c414c5793f3c338dc254d55/document.doc
STATISTICAL SCIENCES PATHWAY
Pathway Definition Form
Completed by Ray Binns School SCIT
Pathway Type
JOINT
Pathway Code
Leave blank Pathway Name
Statistical Sciences Joint
Level 1
Core ModulesModule Code
Module name Semester Credits
MM1008 Introductory Maths Methods SEM 1 15ST1000 Statistics and Probability SEM 1 15ST1001 Inference and Data Analysis SEM 2 15
Core Option Modules: None
Pathway CodeLevel 2
Core ModulesModule Code
Module name Semester Credits
ST2204 Applied Statistics SEM 1 15ST2000 Further Applied Statistics SEM 2 15MM2208 Basic Techniques of OR SEM 2 15
Core Option Modules: None
staff2000 Page 7 5/13/2023/tt/file_convert/5c414c5793f3c338dc254d55/document.doc
Pathway CodeLevel 3
Core Modules:
Module Code
Module name Semester Credits
MM3002
Industrial Statistics SEM 2 15
Core Option Modules
Rules:
you must select either
15 credits from Group A and 15 credits from Group B
or
30 credits from Group B
Module Group
Module Code
Module name Semester Credits
A MM3333 15 credit project SEM 1 & 2
15
B MM3004 Investigations in Maths 1 SEM 1 15B MM3005 Investigations in Maths 2 SEM 2 15B MM3315 OR (Simulation and Production Planning) SEM 1 15B MM3318 OR (Mathematical Programming) SEM 2 15B MM3330 Applied Multivariate Statistical Analysis SEM 1 15B ST3000 Investigations in Statistics SEM 2 15
staff2000 Page 8 5/13/2023/tt/file_convert/5c414c5793f3c338dc254d55/document.doc
MATHEMATICAL BUSINESS ANALYSIS PATHWAY
Pathway Definition Form
Completed by Ray Binns School SCIT
Pathway Type
SPECIALIST
Pathway Code
Leave blank Pathway Name
Mathematical Business Analysis Specialist
Level 1
Core ModulesModule Code
Module name Semester Credits
MM1008 Introductory Maths Methods SEM 1 15ST1101 Introductory Statistics SEM 1 & 2 15AC1004 Accounting in Context SEM 2 15CP1053 Information Systems Analysis YEAR 30CP1173 Introduction to IT SEM 1 & 2 15
Core Option Modules: None
Pathway CodeLevel 2
Core ModulesModule Code
Module name Semester Credits
MM2002 Financial Applications of OR SEM 1 15ST2204 Applied Statistics SEM 1 15AC2016 Business Finance SEM 2 15MM2208 Basic Techniques of OR SEM 2 15MM2005 Spreadsheet Modelling SEM 2 15ST2000 Further Applied Statistics SEM 2 15
Core Option Modules: None
Pathway Code
staff2000 Page 9 5/13/2023/tt/file_convert/5c414c5793f3c338dc254d55/document.doc
Year 3 Industrial Placement year.
Level 3
Core ModulesModule Code
Module name Semester Credits
MM3315 OR (Simulation and Production Planning)
SEM 1 15
MM3318 OR (Mathematical Programming) SEM 2 15MM3002 Industrial Statistics SEM 2 15
Core Option Modules
Rules:
You must select either
15 credits from Group A and 30 credits from Group B
or
30 credits from Group A and 15 credits from Group B
Module Group
Module Code
Module name Semester Credits
A MM3333 15 credit project SEM 1 & 2
15
A MM3334 30 credit project YEAR 30B MM3004 Investigations in Maths 1 SEM 1 15B MM3005 Investigations in Maths 2 SEM 2 15B MM3330 Applied Multivariate Statistical Analysis SEM 1 15B ST3000 Investigations in Statistics SEM 2 15
Further modules from the Computing area and the Business area will be added here when they become available.
staff2000 Page 10 5/13/2023/tt/file_convert/5c414c5793f3c338dc254d55/document.doc
4. Advice about choice of Pathways.
As will be obvious to you by now, those of you who wish to become well informed mathematicians need to gain more than just a knowledge and understanding of maths, stats and OR. You need to develop ‘key skills’, ‘intellectual skills’ and ‘professional skills’ as described in the introduction. All of your modules will provide opportunities to develop these skills.
To develop your skills and knowledge, the ‘maths and stats’ subject provides you with a choice of pathways. These are shown in section 3 above. A brief description of the various pathways is provided below starting with Mathematical Sciences.
Mathematical Sciences Joint
If you want to study all the ‘mathematics’ provided by the University, you should consider the pathway Mathematical Sciences.
By the end of your studies in Mathematical Sciences, you will have a good knowledge of both mathematical, statistical and operational research techniques in a practice-based sense and be able to use quantitative methods in industrial, commercial and academic organisations. You will have developed a set of problem-solving skills, have good perseverance skills and be able to use computer mathematical and statistical software in problem solving. You will have well developed personal skills and possess the necessary foundation for continuing education and/or research
This pathway is studied as a ‘joint’ i.e. in collaboration with a second subject, Subject 2. You can study up to about two thirds of your modules in ‘mathematics’ provided you utilise the electives available. At the end of the study, you will have a joint honours degree entitled BSc Mathematical Sciences and Subject 2. Subject 2 can be Sports Studies, Psychology, Computing, Accounting or Business. The title BSc Computing and Mathematical Sciences is a popular combination.
Recommended Electives for Mathematical Sciences
Two sets of recommended electives are provided – one for those who wish to take a ‘maths’ theme (i.e. more traditional maths) and one for those who wish to take a ‘stats and OR’ theme (still with traditional maths but includes more statistics and OR)
Mathematical Sciences suggestion 1 (maths theme)Note: day and times may change in future yearsIf you wish to follow the ‘Maths’ theme, it is recommended that you select MM1105 Pure Maths 1 as your level 1 elective. This will then open up the Pure Maths side with the level 2 elective MM2200 Pure Maths 2 and the level 3 core option MM3004 Investigations in Maths 1. Your recommended elective at level 3 is the MM3002 Industrial Statistics which, although not maths, is useful for job seekers. The level 3 core option MM3005 Investigations in Maths 2 together with core option MM3333 15 credit project rounds off a coherent programme.
staff2000 Page 11 5/13/2023/tt/file_convert/5c414c5793f3c338dc254d55/document.doc
Semester1 MM1008(core)
Introd Maths MethsThurs pm
MM1105(elective)Pure Maths 1Tues am
2 MM1116 (core)Further MathsTues am
ST1101 (core)Introductory StatsThus pm
3 MM2282 (core)Maths Meths 1Thurs even
ST2204 (core)Applied StatisticsTues pm
4 MM2208 (core)Basic tech of ORMon am
MM2200 (elective)Nature of MathsWed am
5 MM3004 (co)Invest in Maths 1tba
MM3333 (co)15 credit projectVarious
6 MM3005 (co)Invest in Maths 2tba
MM3002 (elective)Industrial Statstba
Mathematical Sciences suggestion 2 (statistics and OR theme)Note: day and times may change in future years
If you wish to follow a ‘Stats and OR’ theme, it is recommended that you still select MM1105 Pure Maths 1 as your level 1 elective but at level 2 you choose MM2005 Spreadsheet Modelling. The level 3 core options are the two OR modules MM3315 and MM3318. The level 3 elective is, as before, MM3002 Industrial Statistics.
Semester1 MM1008(core)
Introd Maths MethsThurs pm
MM1105(elective)Pure Maths 1Tues am
2 MM1116 (core)Further MathsTues am
ST1101 (core)Introd StatsThurs pm
3 MM2282 (core)Maths Methods 1Thurs even
ST2204 (core)Applied StatsTues pm
4 MM2208 (core)Basic Tech of ORMon am
MM2005 (elective)Spreadsheet ModelThus even
5 MM3315 (co)OR(Sim & PP)tba
MM3333 (co)15 credit projectVarious
6 MM3318 (co)OR(Math Prog)tba
MM3002 (elective)Industrial Statstba
staff2000 Page 12 5/13/2023/tt/file_convert/5c414c5793f3c338dc254d55/document.doc
Statistical Sciences Joint
If you wish to study less maths and have an emphasis on statistics, you can do so on the pathway Statistical Sciences.
At the end of your studies, you will have a good knowledge of both statistical and operational research techniques in a practice-based sense and be able to use quantitative methods in industrial, commercial and academic organisations. You will also have developed a set of problem-solving skills, have good perseverance skills and be able to use computer statistical software in problem solving. You will have well developed personal skills and possess the necessary foundation for continuing education and/or research
You can study about half of your modules in statistics and operational research. Again this is studied in conjunction with a second subject, Subject 2 and can be any of Computing, Business, Accounting, Sports Studies or Psychology. You cannot choose Mathematical Sciences as your Subject 2 since a number of the core modules for the two pathways are common. At the end of the study, you will have a joint honours degree entitled BSc Statistical Sciences and Subject 2.
Recommended Electives for Statistical Sciences
As a statistician, you will be expected to be familiar with OR and you can study more or less OR as you wish. Irrespective of which you choose, it is recommended that you study the level 1 elective CP1173 Introduction to IT followed by the level 2 elective MM2002 Financial Applications of OR. Then, in year 3, for the ‘Stats and OR’ emphasis, choose the two OR modules MM3315 and MM3318. In year 3, for the ‘Stats’ emphasis, choose MM3330 Applied Multivariate Statistical Analysis and ST3000 Investigations in Statistics.
staff2000 Page 13 5/13/2023/tt/file_convert/5c414c5793f3c338dc254d55/document.doc
Statistical Sciences suggestion 1 (statistics theme)Note: day and times may change in future years
Semester1 MM1008(core)
Introd Maths MethsThus pm
ST1000(core)Stats and ProbabilityFri am
2 CP1173 (elective)IITvarious
ST1001 (core)Inference and Data AnalysisFri am
3 MM2002 (elective)Fin Apps of ORWed am
ST2204 (core)Applied StatsTues pm
4 MM2208 (core)Basic Tech of ORMon am
ST2000 (core)Further Applied StatsWed am
5 MM3330 (co)App Mult Stat Analysistba
MM3333 (co)15 credit projectVarious
6 MM3002 (co)Industrial Statstba
ST3000 (elective)Invest in StatsMon pm
Statistical Sciences suggestion 2 (statistics and OR theme)Note: day and times may change in future years
Semester1 MM1008(core)
Introd Maths MethsThus pm
ST1000(core)Stats and ProbabilityFri am
2 CP1173 (elective)IITvarious
ST1001 (core)Inference and Data AnalysisFri am
3 MM2002 (elective)Fin Apps of ORWed am
ST2204 (core)Applied StatsTues pm
4 MM2208 (core)Basic Tech of ORMon am
ST2000 (core)Further Applied StatsWed am
5 MM3315 (co)OR(Sim & PP)tba
MM3333 (co)15 credit projectVarious
6 MM3002 (co)Industrial Statstba
MM3318 (elective)OR(Math Prog)tba
staff2000 Page 14 5/13/2023/tt/file_convert/5c414c5793f3c338dc254d55/document.doc
Mathematical Business Analysis Specialist
If you wish to develop mathematical and professional skills in a business environment, a specialist pathway is provided covering maths, statistics, operational research and aspects of business and computing relevant to maths.
At the end of your studies, you will be able to use applied quantitative methods in business and in particular to facilitate business decision making and make an immediate and effective contribution to the development of computer based systems in either commerce, industry or the public sector. You will also be able to understand the contribution which IT can make within an organisation, have experience of working with computer based systems in organisations and be able to critically evaluate the development and applications of quantitative information systems. You will have the necessary foundation for continuing education and/or research
At the end of this study you will have a specialist honours degree entitled BSc Mathematical Business Analysis.
For the recommended electives see the next page.
staff2000 Page 15 5/13/2023/tt/file_convert/5c414c5793f3c338dc254d55/document.doc
Recommended Electives for Mathematical Business Analysis.
If you wish to study more ‘maths’, you should choose your level 1 electives to be MM1116 Further Maths and MM1105 Pure Maths 1. You can then choose level 2 and 3 modules from your core option list.
BSc Mathematical Business Analysis Maths option Note: day and times may change in future years
Sem 1 MM1008(core
)Introd Maths MethsThurs pm
CP1173(core)IITWed am
MM1105(elective)Pure Maths 1Tues am
CP1053(core)Information Systems AnalysisMon am
2 ST1101(core)Introductory StatsTues am
AC1004(core)Accounting in ContextWed even
MM1116(elective)Further MathsThurs am
3 MM2002 (core)Finan Apps of ORWed am
ST2204 (core)Applied StatsTues pm
AC2016 (core)Business Finance*tba
MM2282(elective)Maths Meths 1Thurs even
4 MM2208 (core)Basic Tech of ORMon am
MM2005 (core)Spreadsheet ModelThurs even
ST2000 (core)Further Applied StatsFri am
MM2200(elective)Pure Maths 2
5/6 Industrial Placement
7 MM3315 (core)OR(Sim & PP)
MM3330 (core option)App Mult Stat Analysis
MM3333 (core option)15 credit projectVarious
MM3004 (elective)Invest in Maths 1
8 MM3318 (core)OR(Math Prog)
MM3002 (core)Industrial Stats
MM3005 (core option)Invest in Maths 2
CP3031(elective)**Advanced ITtba
* may be in semester 2 ** may be in semester 1
Your Award includes two core modules in accounting and you can study more accounting by choosing as electives either AC3019 Financial Decision-making or
staff2000 Page 16 5/13/2023/tt/file_convert/5c414c5793f3c338dc254d55/document.doc
AC3023 Corporate Finance. You should see a tutor if you wish to take this programme.
Your Award also includes core modules in computing. To study more computing, you can choose as electives from among CP1007 Introduction to Programming for Business, CP2094 Developing Software Applications, CP2001 Databases, CP3341 Database design, CP2018 Graphics and Visualisation and CP3006 Methods for Graphics and Visualisation. You should see a tutor if you wish to take a programme involving more computing.
(b) Transferring between Pathways.
Pathway Mathematical Sciences to Pathway Statistical Sciences
It is usually not possible to transfer from the BA pathways or the BSc MBA to any of the other pathways and vice versa. Nor is it usually possible to move from Statistical Sciences to Mathematical Sciences. However, it is quite possible (and not unusual) for students to move from Mathematical Sciences to Statistical Sciences.
It is important to note that you cannot combine Mathematical Sciences and Statistical Sciences since the two pathways have many modules in common.
Whichever of the two pathways you select, you will find at the start of the course that there is much in common. Both seek to bring students entering with a diverse set of qualifications to the same skills and knowledge base and to provide a basis for further study. Usually, students are enrolled on to mathematical sciences and choose at the end of the first semester or year whether to continue with mathematical sciences or move onto statistical sciences.
All students will initially be registered for the Mathematical Sciences programme. Transfer to Statistical Sciences can occur at the end of any semester though you may find restrictions in your programme. For a transfer at the end of semester 1, you may substitute ST1101 for the core module ST1000
(c) Provision for ‘non-maths’ students
It may be that you are not studying for an award in maths but are studying on a science pathway or another pathway which involves collecting data. In this case, you may feel that a module of elementary ‘stats’ (data analysis) would be useful in assisting you to analyse your data. The module ST1101 Introductory Statistics is recommended for the majority of elementary analyses (up to regression and analysis of variance) and the module ST2204 Applied Statistics for more advanced analyses such as the statistical design and analysis of experiments, multiple regression. For multivariate work, fifty percent of the module MM3330 Applied Multivariate Statistical Analysis covers multivariate analysis of variance, cluster analysis, principal components and canonical correlation (but not factor analysis). For surveys and questionnaires, one third of MM3002 Industrial Statistics is spent on surveys and the analysis of surveys.
staff2000 Page 17 5/13/2023/tt/file_convert/5c414c5793f3c338dc254d55/document.doc
(d) Teaching Qualifications
If you wish to become a teacher of mathematics in a secondary school and have the entry qualifications of two A2 levels including Maths or its equivalent such as the Maths Access, you require the three year specialist pathway leading to the BA Maths. Note that one of the three years is the teaching practice year. If you have already studied beyond A2 level in Maths, for instance HND Maths and Statistics or an appropriate OU course, the two year BA Maths pathway is available where you spend one year studying mathematics and one year in teaching practice. (This latter qualification was formerly referred to as the BEd Secondary Shortage Maths). At the end of this study students will achieve an honours degree entitled the BA Maths. You may then apply for Qualified Teacher Status. These pathways are administered by the School of Education with a Maths coordinator provided by the Subject.
(i) BA Maths three year teaching pathway (formerly the BA with Qualified Teacher Status)
This three year pathway is administered by the School of Education and students need to contact the appropriate tutor for enrolment details. The Teacher Training Agency are the drivers for this qualification and they have a number of specified areas in which intending teachers must become proficient. These are pure maths, statistics, probability, information technology and decision maths. You study these over the first two years and then spend the third and final year in teaching practice.
In order to cover all the specified areas, no choice or electives are available in the first two years. The programme is shown below.
BA three year teaching programme.
Semester1 MM1008
Thurs pmST1000Fri am
CP1173Various
MM1105Tues am
2 MM1116Tues am
ST1001Fri am
MM2208Mon am
MM2200Wed am
3 MM2282Thurs even
ST2204Tues pm
MM3004tba
MM2222Mon am
4 MM3005tba
MM3002tba
MM2217Thurs even
TE2038Tues pm
5 Education Education Education Education6 Education Education Education Education
(ii) BA Maths two year pathway (formerly BEd Secondary Shortage Maths)
This two year pathway is administered by the School of Education and students need to contact the appropriate tutor for enrolment details. Again, the Teacher Training Agency department is the driver for this qualification and specifies areas which intending teachers must become proficient in. These are pure maths, statistics, probability, information technology, decision maths. You must study these in the first year and then spend the second (final) year in teaching practice.
staff2000 Page 18 5/13/2023/tt/file_convert/5c414c5793f3c338dc254d55/document.doc
Your choice of modules depends upon your qualifications and advice is available from the BEd Maths tutor whose name is given in section 9.
A typical programme is shown below.
Semester1 MM2282
Thurs evenST2204Tues pm
MM2002Wed am
MM2222Mon am
2 MM3005Mon am
MM3002Tues am
MM3004Tues pm
TE2038Tues pm
3 Education Education Education Education4 Education Education Education Education
staff2000 Page 19 5/13/2023/tt/file_convert/5c414c5793f3c338dc254d55/document.doc
5. List of Modules
The following list shows those modules which are referred to within this Pathway Guide. The list includes some modules from the computing area and some from the business area. The list also includes timetable information and pre-requisites, where known. For identifying the codes of the pre-requisites, see the Brief Module Descriptions in section 6.
Code Title (pre-requisites) Sem Day
AC1004 Accounting in Context 1 or 2
Sem 1: Tues pm (City) Fri pm (Telford)Sem 2: Mon am (Compton), Wed even (City)
AC2015 Business Accounting (AC1004) 2 to be announcedAC2016 Business Finance (AC1004) tba to be announcedAC3019 Financial Decision-Making (AC2016) 2 to be announcedAC3023 Corporate Finance (AC2016) 1 to be announcedCP1007 Introduction to Programming for Business 2 Wed am, Wed even, Thur am
CP1173 Introduction to IT 1 and 2Sem 1: Wed am; Sem 2: Wed am, Thur even
CP1153 Information Systems Analysis YEARMon pm; Tues pm; Thur am; Fri am
CP2001 Developing Software Applications (CP1053) 1 or 21. Thur am, Thur even; 2. Fri am
CP2018 Graphics and Visualisation (CP1007) tba to be announcedCP2094 Databases (CP1007) tba to be announced
CP3006Methods for Graphics and Visualisation (CP2018) tba to be announced
CP3341 Database Design 1 or 2 1. Fri am; 2. Wed evenMM1004 Introductory Probability (ST1101) 2 Thurs pmMM1005 Introductory Statistics for Health Sciences 1 Thurs amMM1007 Introductory Data Analysis for Business 2 Thurs evenMM1007 Introductory Data Analysis for Business 2 On-line version
MM1008Introductory Maths Methods (AS or A2 level Maths) 1 Mon even, Thur pm
MM1103 Foundation Maths 1 or 2 Mon evenMM1105 Pure Maths 1 (AS or A2 level Maths) 1 Tues amMM1116 Further Maths(MM1008) 2 Tue amMM2002 Financial Applications of OR(MM1008) 1 Wed am
MM2003 Discrete Maths 1 or 2Mon even (sem 1 only) ; Thurs pm (sem 2 only)
MM2005Spreadsheet Modelling (familiarity with a spreadsheet) 2 Thurs even
MM2200 Pure Maths 2 (MM1105) 2 Wed amMM2208 Basic Techniques of OR (MM1008) 2 Mon am
MM2217Social and Historical Aspects of Maths (MM1008 and ST1101) 2 Thurs even
MM2222 Nature of Maths (MM1105) 1 Mon amMM2282 Maths Methods 1 (MM1116) 1 Thur evenMM3002 Industrial Statistics (ST2204) 2 Tues am
MM3004Investigations in Maths 1 (MM2200 or MM2222) 1 Tues pm
MM3005 Investigations in Maths 2 (MM2282) 2 Mon amMM3315 OR(Simulation and Production Planning) 1 Thur pm
staff2000 Page 20 5/13/2023/tt/file_convert/5c414c5793f3c338dc254d55/document.doc
(MM2208)MM3318 OR(Mathematical Programming) (MM2208) 2 Thur pm
MM3330Applied Multivariate Statistical Analysis (ST2204) 1 Tues am
MM3333 Project 15 credits 1MM3333 Project 15 credits 2MM3334 Project 30 credits 1&2
ST1101 Introductory Statistics 1 or 2
Tues am, Thur pm (sem 1 only)Mon even, Thur p.m. (sem 2 only)
ST1000Statistics and Probability (AS or A2 level Maths) 1 Fri am
ST1001 Inference and Data Analysis (ST1000) 2 Fri amST2204 Applied Statistics (ST1101 or ST1001) 1 Tues amST2000 Further Applied Statistics (ST2204) 2 Wed amST3000 Investigations in Statistics (ST2204) 2 Mon pm
staff2000 Page 21 5/13/2023/tt/file_convert/5c414c5793f3c338dc254d55/document.doc
b) Pathway diagrams
DIAGRAM OF PRE-REQUISITES (Maths, Statistics and OR)
Sem 1 Sem 2 Sem 3 Sem 4 Sem 5 Sem 6
staff2000 Page 22 5/13/2023/tt/file_convert/5c414c5793f3c338dc254d55/document.doc
A2 or AS level Maths or
equiv
MM1008 Introd Maths
Meths
ST1000 Prob and
Stats
MM1116 Further
Maths
MM2282 Maths Methods
MM2222 Nature of
Maths
ST2204 Applied
Statistics
MM2003 Discrete
Maths
ST2000 Further Applied
Stats
MM3005 Invest in Maths 2
(Methods)
ST3000 Invest in
Stats A2 or AS level Maths or
equiv
staff2000 Page 23 5/13/2023/tt/file_convert/5c414c5793f3c338dc254d55/document.doc
GCSE Maths A to C or
equiv
MM1105 Pure
Maths 1
MM1103 Foundation
Maths
ST1101 Introd
Stats
MM2002 Fin Apps of
OR
MM2200 Pure
Maths 2
MM2217 Soc and Hist Aspects
of Maths
MM2208 Basic Tech of
OR
MM3004 Invest in Maths 1
(Pure Ma)
MM3330 App Mult
Stat Anal
MM3315OR(Sim
and PP)
MM3318OR(Math
Prog)
MM1008 Introd Maths
Meths
or
or
or
oror
staff2000 Page 24 5/13/2023/tt/file_convert/5c414c5793f3c338dc254d55/document.doc
MM1005Stats for
Health
MM1007 Data Analysis
for Business
MM1115 Maths for
Computing
MM1004 Introd
Prob
ST1001 Inference and Data
Analysis
MM2003 Discrete
Maths
MM1103 Foundation
Maths
MM3002 Indust
Stats
GCSE Maths A to C or
equiv
DIAGRAM OF PRE-REQUISITES(Business and Computing)Sem 1 Sem 2 Sem 3 Sem 4 Sem 5 Sem 6
staff2000 Page 25 5/13/2023/tt/file_convert/5c414c5793f3c338dc254d55/document.doc
AC2023Corpor
Finance AC3019FinanceDecision
-Making
AC2015Bus
Account AC1004Account in
Context
CP1053Inform Systems
Analysis
CP201
Databases
CP3341Database
Design
CP1007 Intro to Prog for Bus
CP2094Devel Software
Apps
CP2018Graphics and Visual
CP3006Meths for Graphics &
Visual
6. Brief Module Descriptions
All modules are 15 credits and, with one exception, are offered at the Wolverhampton main site. The one exception is MM1007 Introductory Data Analysis for Business, which is offered both as a taught module at Compton and as an on-line module under Wolf.
Code AC1004Title Accounting in ContextSemester 1 or 2Level 1Pre-requisite GCSE Maths (grade C or better) or equivalentModule Leader tbaAssessment tbaTimetable occurrence Sem 1 Tues even (City), Fri pm (Telford)
Sem 2 Mon am (Compton); Wed even (City) DescriptionThis module focuses on the financial accounting aspects of accounting. It is core for the BSc Mathematical Business Analysis degree.
Code CP1053Title Information Systems AnalysisSemester YEARLevel 1Pre-requisite GCSE Maths (grade C or better) or equivalentModule Leader tbaAssessment Coursework, test and examination.Timetable occurrence Mon pm; Tues pm; Thurs am: Fri am (students may
have to attend for a 1 hour workshop on another occasion)
DescriptionThis module looks at features of a range of information systems. It is a 30 credit module which is core for the BSc Mathematical Business Analysis degree.
Code CP1173Title Introduction to ITSemester 1 or 2Level 1Pre-requisite GCSE Maths (grade C or better) or equivalentModule Leader tbaAssessment Coursework Timetable occurrence Wed amDescriptionThis module provides an introduction to simple operating systems, word processing, using spreadsheets and using a PC database.
staff2000 Page 26 5/13/2023/tt/file_convert/5c414c5793f3c338dc254d55/document.doc
Code MM1004Title Introductory ProbabilitySemester 2Level 1Pre-requisite GCSE Maths C and ST1101 Introductory
Statistics. (ST1101 Introductory Statistics may be studied in the same semester as Introductory Probability).Note: this module may not be studied with either of ST1000 or ST1001.
Module Leader David GodaAssessment Coursework 40%, exam 60%Timetable occurrence Thurs pmDescriptionThis module is an introduction to probability theory and its applications. It aims to develop a knowledge base in probability theory and to develop the students' ability to recognise and use probability concepts in problem solving.
Code MM1005Title Introductory Statistics for Health SciencesSemester 1Level 1Pre-requisite GCSE Maths (grade C or better) or equivalentModule Leader David GodaAssessment Coursework (25%); test 1 (1 hour, 25%); test 2 (1.5
hours, 50%)Timetable occurrence Thurs amDescriptionThis module is the appropriate numeracy/statistics module for students studying for Health Sciences qualifications .
Code MM1007Title Introductory Data Analysis for BusinessSemester 2Level 1Pre-requisite GCSE Maths (grade C or better) or equivalentModule Leader David GodaAssessment Coursework 1 (25%); coursework 2 (25%); exam (2
hours, 50%)Timetable occurrence Thursday evening at ComptonDescriptionThis module is the appropriate module for students studying for the on-line BA Business Administration degree and for HND students studying programmes from the Wolverhampton Business School.
Note: this module is only taught at the Compton site
staff2000 Page 27 5/13/2023/tt/file_convert/5c414c5793f3c338dc254d55/document.doc
Code MM1008Title Introductory Maths Methods Semester 1Level 1Pre-requisite Grades N to A of GCE A2 level
in Mathematics or GCE AS level grade D or better in Mathematics.
Module Leader Liz PriceAssessment Coursework (25%); test 1 (1 hour, 25%); test 2 (1.5 hours,
50%) Timetable occurrence Monday evening or Thurs pmDescriptionMM1008 (Introductory Maths Methods) widens the knowledge base of a student with A2 or AS-level Mathematics and develops skills in algebra and calculus.
This is a core module for Combined Awards students studying for Mathematical Sciences or Statistical Sciences, for BA + QTS students and for BSc MBA students.
Code MM1103Title Foundation MathsSemester 1 or 2Level 1Pre-requisite GCSE grade C at least in MathsModule Leader John SeymourAssessment Coursework (20%); test 1 (1 hour, 20%); test 2 (2 hours,
60%)Timetable occurrence Monday evening in either semesterDescriptionThis is the appropriate module for engineering students and others who wish to extend their mathematical experience.Note: this module cannot be taken by students following Combined Awards in Mathematical Sciences or Statistical Sciences, nor by those following BA + QTS pathways or by students on the BSc MBA degree.
staff2000 Page 29 5/13/2023/tt/file_convert/5c414c5793f3c338dc254d55/document.doc
Code MM1105Title Pure Mathematics 1Semester 1Level 1Pre-requisite GCE Maths A2 grades N to A or AS
level grades D to A MathsModule Leader Mike ThelwallAssessment Test 1 (1 hour, 20%); test 2 (1 hour,
20%); test 3 (2 hours, 60%)Timetable occurrence Tues amDescriptionThis module provides a solid foundation for the study of algebra and mathematical analysis and provides an insight into the workings of modern mathematics
Code MM1116Title Further MathsSemester 2Level 1Pre-requisite MM1008 Introductory Maths MethodsModule Leader Liz PriceAssessment Test 1( 1 hour, 30%) , exam ( 2 hours, 70%)Timetable occurrence Tues amDescriptionThis module develops various areas of mathematics to a more advanced level by studying the broad areas of calculus, vectors, trigonometry, complex numbers, polar co-ordinates and numerical methods.
This module is core for Mathematical Sciences.
staff2000 Page 30 5/13/2023/tt/file_convert/5c414c5793f3c338dc254d55/document.doc
Code MM2002Title Financial Applications of Operational
ResearchSemester 1Level 2Pre-requisite MM1008 Introductory Maths Methods or
MM1103 Foundation MathsModule Leader Peter MusgroveAssessment Coursework 1 (20%),; coursework 2
(20%); test 1 (1 hour 30%), test 2 (1 hour, 30%)
Timetable occurrence Wed amDescriptionThis module introduces students to Operational Research models in the field of Finance. Along with the basic Financial Mathematics students go on to study OR models for Inventory Control, Decision theory, Risk analysis and Game Theory.
This module is core for BSc MBA.
Code MM2003Title Discrete MathsSemester 1 or 2Level 2Pre-requisite Any CP module.Module Leader David WilkinsonAssessment Coursework and testTimetable occurrence Sem 1 Monday even: sem 2 Thurs pmDescription
This module introduces the concepts and techniques of financial mathematics, statistics and discrete mathematics which are useful in solving problems in Computer Science. Topics include set theory, propositions, functions, relations, graph theory, proof by induction, computer algebra, elementary statistics and probability, elementary financial mathematics and an introduction to matrix algebra. It is essential to have a scientific calculator for this module.
This module is only available for students following years 2 or 4 of the Computing Degree Scheme.
staff2000 Page 31 5/13/2023/tt/file_convert/5c414c5793f3c338dc254d55/document.doc
Code MM2005Title Spreadsheet ModellingSemester 2Level 2Pre-requisite A familiarity with a spreadsheet.Module Leader Mike ThelwallAssessment Two pieces of coursework (100%)Timetable occurrence Thurs eveningThis module is designed to develop students' confidence in using software for presentation of information. The module includes the writing of macros in Excel, the design of web pages with HTML and JavaScript and the development of further presentation skills including the use of PowerPoint.
This module is core for BSc MBA.
Code MM2200Title Pure Mathematics 2Semester, day and time 2Level 2Pre-requisite MM1105 Pure Maths 1Module Leader David WilkinsonAssessment Test 10%, assignments 30%, exam 60%Timetable Wed amDescriptionThe concept of a group is introduced and seen as the unifying concept in mathematics. Transformation geometry is developed using vectors and matrices.
This module must be studied by BA + QTS students.
staff2000 Page 32 5/13/2023/tt/file_convert/5c414c5793f3c338dc254d55/document.doc
Code MM2208Title Basic Techniques of Operational
ResearchSemester 2Level 2Pre-requisite MM1008 Introductory Maths Methods or
MM1103 Foundation MathsModule Leader Mike ThelwallAssessment Course work 20%, Group investigation
20%, exam 60%Timetable occurrence Mon amDescriptionThis module introduces students to two of the most useful basic Operations Research techniques - Linear Programming - including the important special cases of Transportation and Assignment Models and Network analysis of project planning, flows routing and production problems.
The module is core for all students on BSc MBA, Combined Awards Mathematical Sciences and Statistical Sciences and BA + QTS awards.
Code MM2217Title Social and Historical Aspects of
MathematicsSemester 2Level 2Pre-requisite MM1105 Pure Mathematics 1 and
ST1101 Introductory Statistics Module Leader Di ThompsonAssessment 4 assignments 100%Timetable occurrence Thurs eveningDescriptionThe aim of this module is to provide an understanding of the role of mathematics as part of mankind's cultural development and the changing nature of mathematical activity.
This module is recommended for students who wish to enter the teaching profession..
staff2000 Page 33 5/13/2023/tt/file_convert/5c414c5793f3c338dc254d55/document.doc
Code MM2222Title Nature of MathematicsSemester, day and time 1Level 2Pre-requisite MM1105 Pure Maths 1Module Leader David WilkinsonAssessment Two courseworks (60%); test 1 (1 hour,
10%), test 2 (1.5 hours, 30%)Timetable occurrence Monday am DescriptionThe theory of convergence of sequences and series is developed in this module and a study is made of the recreational aspects of mathematics.This module must be studied by BA + QTS students.
Code MM2282Title Mathematical Methods 1Semester 1Level 2Pre-requisite MM1116 Further MathsModule Leader Liz PriceAssessment test 1 (1.5 hours, 30%); test 2 (2 hours,
70%)Timetable occurrence Thurs evenDescriptionThis is the key module at level 2 for the development of applicable maths. The emphasis is on differential equations and linear algebra.
This module is core for Combined Awards in Mathematical Sciences and BA + QTS students.
Code MM3002Title Industrial Statistics
Semester, day and time 2Level 3Pre-requisite ST2204 Applied StatisticsModule Leader David SeedhouseAssessment Project 20%, test 20%, exam 60%Timetable occurrence Tuesday amDescriptionA course in statistical analysis which covers the use of quality control techniques, time series analysis, design and analysis of surveys.This module is core for BSc MBA students and is recommended for students following Mathematical Sciences joint.
staff2000 Page 34 5/13/2023/tt/file_convert/5c414c5793f3c338dc254d55/document.doc
Code MM3004
Title Investigations in Mathematics 1Semester 1Level 3Pre-requisite MM2200 Pure Maths 2 or MM2222
Nature of MathsModule Leader David WilkinsonAssessment Four pieces of coursework plus a test
(20% each)
Timetable occurrence Tuesday pmDescriptionThe ability of the student to investigate pure mathematics independently is developed by studying four mathematical topics, chosen from a list of at least eight, many of which develop areas introduced in the pre-requisite modules. The study is carried out with the help of booklets provided, each containing notes and a variety of exercises.
This module is core for BA + QTS students.
Code MM3005Title Investigations in Mathematics 2Semester 2Level 3Pre-requisite MM2282 Maths Methods 1Module Leader David WilkinsonAssessment Four pieces of coursework plus a test
(20% each)Timetable occurrence Monday amDescriptionThe ability of the student to investigate mathematical methods independently is developed by studying four mathematical topics, chosen from a list of at least eight (many of which develop areas introduced in the pre-requisite modules) The study is carried out with the help of booklets provided, each containing notes and a variety of exercises.
This module is core for BA + QTS students.
staff2000 Page 35 5/13/2023/tt/file_convert/5c414c5793f3c338dc254d55/document.doc
Code MM3315Title Operational Research (Simulation and
Production Planning)Semester 1Level 3Pre-requisite MM2208 Basic Techniques of ORModule Leader Gareth HarriesAssessment Group assignment 50%, individual essay
and presentation 50%Timetable occurrence Thurs pmDescriptionThis module discusses two important Operations Research techniques used in industry - simulation and production planning and uses realistic case studies to illustrate their application.
This module is core for students studying on the BSc MBA degree.
Code MM3318Title Operational Research (Mathematical
programming)Semester 2Level 3Pre-requisite MM2208 Basic Techniques of ORModule Leader Gareth HarriesAssessment Course work 20%, group investigation
20%, exam 60%Timetable occurrence Thurs pmDescriptionThis module extends the work on Linear Programming undertaken in Basic Techniques of Operations Research into a study of sensitivity analysis and duality. Other types of mathematical programming are then considered such as integer programming including formulations with zero-one variables, goal programming and quadratic programming. An introduction to the theory of non-linear optimisation is also included to place each programming technique into a wider context.
This module is core for students studying on the BSc MBA degree.
staff2000 Page 36 5/13/2023/tt/file_convert/5c414c5793f3c338dc254d55/document.doc
Code MM3330Title Applied Multivariate Statistical AnalysisSemester 1Level 3Pre-requisite ST2204 Applied StatisticsModule Leader Ray BinnsAssessment Presentation (50%); test (2 hours, 50%)Timetable occurrence Tues amDescriptionThe module covers multivariate techniques such as discriminant analysis, cluster analysis, principal components, Hotelling’s T test and multivariate analysis of variance.
This module is recommended for those students studying Statistical Sciences.
Code: MM3333Title: 15 credit project (Mathematical Sciences)Semester: 1 or 2Level: 3Pre-requisite(s): VariousModule Leader: Gareth HarriesAssessment: Initial report, project management diary, presentation, project
report. A fifteen credit project undertaken with supervision.
Code: MM3334Title: 30 credit project (Mathematical Sciences)Semester: 1 and 2Level: 3Pre-requisite(s): VariousModule Leader: Gareth HarriesAssessment: Initial report, project management diary, presentation, project
report and viva. A thirty credit project undertaken with supervision.
staff2000 Page 37 5/13/2023/tt/file_convert/5c414c5793f3c338dc254d55/document.doc
Code ST1000Title Statistics and ProbabilitySemester 1Level 1Pre-requisite GCE Maths A2 or AS level or equivalentModule Leader David GodaAssessment Test 1 (1 hour, 33%); test 2 (1 hour,
33%); coursework (34%)Timetable occurrence Friday amDescriptionThis module provides students with the opportunity to learn how to analyse simple data sets and to apply probability in simple situations
This module and ST1001 Inference and Data Analysis are the appropriate modules for students studying on pathways involving Combined Awards Statistical Sciences, BA + QTS or BSc MBA.
Note: ST1101 Introductory Statistics cannot be studied with this module
Code ST1001Title Inference and Data AnalysisSemester 2Level 1Pre-requisite ST1000 Statistics and ProbabilityModule Leader Teresa PageAssessment Test (1 hour, 20%);
coursework (50%, min E4); exam (2 hours, 30%)
Timetable occurrence Friday amDescriptionA level one module for students wishing to increase their ability to analyse data.Note: students cannot study this module if they have studied or are studying module ST1101 Introductory Statistics.
staff2000 Page 38 5/13/2023/tt/file_convert/5c414c5793f3c338dc254d55/document.doc
Code ST1101Title Introductory StatisticsSemester 1Level 1 or 2Pre-requisite GCSE Mathematics (grade C or better)Module Leader David SeedhouseAssessment Coursework (20%); test 1 (1 hour, 20%);
test 2 (2 hours,60%)Timetable occurrence Semester 1: Tues am, Thurs pm
Semester 2: Mon even, Thurs pmDescriptionAn elementary statistics course in which the emphasis is on data analysis for business, biological sciences, environmental sciences, applied sciences, biomedical sciences, sports studies and psychology. A computer workshop in which statistics packages are used is part of the module.
This module is appropriate for those students who require statistics as support for their for their main subject (except Health Sciences for which MM1005 is appropriate), and for students following Combined Awards Joint in Mathematical Sciences.
The appropriate modules for students studying on pathways involving Combined Awards Joint in Statistical Sciences, BA + QTS or BSc MBA are ST1000 Statistics and Probability and ST1001 Inference and Data Analysis.
Code ST2000
Title Further Applied StatisticsSemester 2Level 2Pre-requisite ST2204 Applied StatisticsModule Leader David SeedhouseAssessment Component 1: test 1 (1 hour,17%);
exam (2 hours, 33%); Component 2: coursework (50%)
Timetable occurrence Wednesday amDescriptionThis module covers the analysis of the results from experiments and extends the topics covered in Applied Statistics.
The module is core for students on the BSc MBA pathway
staff2000 Page 39 5/13/2023/tt/file_convert/5c414c5793f3c338dc254d55/document.doc
Code ST2204Title Applied StatisticsSemester, day and time 1Level 2Pre-requisite ST1101 Introductory Statistics or
ST1001 Inference and Data AnalysisModule Leader David SeedhouseAssessment Coursework (20%); test 1 (1 hour, 20%);
test 2 (2 hours, 60%)Timetable occurrence Tuesday pmDescriptionThis module covers the analysis of the results from experiments and surveys and extends the topics covered in Introductory Statistics.
The module is core for studying for the awards BSc MBA, Combined Awards in Mathematical Sciences or Statistical Sciences and BA + QTS.
Code ST3000Title Investigations in StatisticsSemester 2Level 3Pre-requisite ST2204 Applied StatisticsModule Leader Ray BinnsAssessment Coursework (90%); test (1 hour, 10%)Timetable occurrence Monday pmDescriptionStudents will investigate the properties of estimators, examine large data sets, collect data from the internet and perform investigations. The teaching consists of both taught and practical sessions.
This module is recommended for students training to become teachers.
staff2000 Page 40 5/13/2023/tt/file_convert/5c414c5793f3c338dc254d55/document.doc
7. Staff involved in the delivery of modules
Name Subject and job function
Room Tel. e-mail
R Binns, BSc PhD AFIMA FSS
Statistics, Subject Leader
MU503
1863
r.binns@wlv.ac.uk
D F Goda, MA DipStat FSS
Statistics and Module Group Leader for Statistics
MU505
1444
d.goda@wlv.ac,uk
G Harries, MA MSc PhD AFIMA
Mathematics and Operational Research and Module Group Leader for Operational Research
MU313
1485
g.harries@wlv.ac.uk
A Mansfield, BSc
Mathematical Sciences
MU505
1858
t.mansfield@wlv.ac.uk
P B Musgrove, BSc MSc PhD
Operational Research
MU513
1851
p.b.musgrove@wlv.ac.uk
T Page-Kennedy, BSc PGCE MSc
Statistics MU504
1860
t.m.page-kennedy@wlv.ac.uk
E L Price, BSc GradIMA FSS
Mathematics, CA Subject Co-ordinator (Maths and Statistics)
MU504
1859
liz.price@wlv.ac.uk
D E Seedhouse, BSc MSc PhD
Statistics, Education Co-ordinator Mathematics
MU516
1808
d.seedhouse@wlv.ac.uk
J B Seymour, BSc MSc
Mathematics MU516
1449
j.b.seymour@wlv.ac.uk
M Thelwall, BSc PhD
Mathematics and Operational Research
MU517
1470
m.thelwall@wlv.ac.uk
D Thompson, BSc ARCS PGCE
Mathematics MU301
1861
d.thompson@wlv.ac.uk
D Wilkinson, BA MSc PhD
Mathematics, Associate Subject Leader and Module Group Leader for Mathematics
MU517
1452
d.wilkinson@wlv.ac.uk
staff2000 Page 41 5/13/2023/tt/file_convert/5c414c5793f3c338dc254d55/document.doc
8. Pathway Group Leaders/Coordinators
Pathway Leader/ CoordinatorSpecialist: Mathematical Business Analysis Ray Binns
321863r.binns@wlv.ac.uk
Joint : Mathematical Sciences Liz Price321859liz.price@wlv.ac.uk
Joint: Statistical Sciences Liz Price321859liz.price@wlv.ac.uk
Specialist: BA Maths (Note: this pathway is the responsibility of the School of Education: Wynn Davies 323240, fa1886@wlv.ac.uk)
David Seedhouse321808d.seedhouse@wlv.ac.uk
9. Careers and Research in the Subject
Careers
Careers for numerate business graduates with the knowledge of mathematical and computing tools and a good understanding of how businesses work are available in a wide range of industrial, commercial and academic organizations, including both academic and private.
Recent graduates have taken jobs as credit controller (operational research), thermal mapper (statistics), sales executive, analyst programmer, financial advisor, trainee accountant, funding analyst, trainee statistician, administrative assistant, quality control assistant and trainee manager. Several students have also gone on to postgraduate study (operational research, medical statistics and PGCE).
Firms who have employed recent graduates include the following: Royal Bank of Scotland, B.D.O. Stoy Hayward, South Kent College, South Staffordshire Council, University of Wolverhampton, Hobson Publishing, Staffordshire Building Society, Royal Insurance
Research:
The Maths and Stats subject has a research group headed by Mike Thelwall under the title of Statistical Cybermetrics. Statistical Cybermetrics is concerned with the modelling of Web links between organisations. Current interests lie with Web links between European Universities.
staff2000 Page 42 5/13/2023/tt/file_convert/5c414c5793f3c338dc254d55/document.doc
10. Other Information
(a) Progression and Award regulations
Pathways for Mathematical Business Analysis, Mathematical Sciences and Statistical Sciences in this guide are based on the University Modular Framework and Undergraduate Regulations. The following requirements are in addition to the Standard University Regulations.
Progression to Year 4 sandwich Mathematical Business Analysis.
Students must have satisfied the Industrial Placement.
Award regulations for BSc Mathematical Business Analysis
For the Award of BSc Mathematical Business Analysis (Honours), students must have passed or received a compensated pass in 360 credits and satisfied the Industrial Placement requirement or been granted exemption from the requirement.
Classification of Honours
This will follow the University’s rules in force at the time. The classification of the BSc Mathematical Business Analysis includes is the grade for the Industrial Placement which counts for an additional 15 credits.
(b) Industrial Placement
We have an Industrial Placement team who support students in finding placements. Most part-time students and some full-time students already have suitable work experience in computing and should apply for exemption.
staff2000 Page 43 5/13/2023/tt/file_convert/5c414c5793f3c338dc254d55/document.doc
c) Maths and Statistics timetable (Note: these are subject to change). For computing and business see the intranet)
SEM 1 (9.00-1.00 except where indicated)) (2.00-5.00 except where indicated) (6.00-9.00 except where indicated))
MONDAY
MM2222 Nature of Maths zone 2
MM1103 Foundation Maths (4 to 9 pm) zone 2MM1008 Introductory Maths Methods zone 2MM2003 Discrete Maths zone 3
TUESDAY
MM1105 Pure Maths 1 zone 2ST1101 Introductory Statistics zone 2MM3330 App Multivariate Stats Analysis zone 2
ST2204 Applied Statistics (1 to 5 pm) zone 2MM3004 Investigations in Maths 1 zone 2
WEDNESDAY
MM2002 Financial Applications of OR zone 2
THURSDAY
MM1005 Introductory Statistics for Health Sciences zone 3
MM1008 Introductory Maths Methods zone 2ST1101 Introductory Statistics (1 to 5 pm) zone 2MM3315 OR(Simulation and Production Planning) zone 2
MM2282 Maths Methods 1 (5 to 9 pm) zone 2
FRIDAY
ST1000 Statistics and Probability zone 2
SEMESTER 2SEM 2 9.00-1.00 except where indicated) (2.00-5.00 except where indicated) (6.00-9.00 except where indicated)
MONDAY
MM2208 Basic Techniques of OR zone 2MM3005 Investigations in Maths 2 (10 to 1 pm) zone 2
ST3000 Investigations in Statistics zone 2
MM1103 Foundation Maths (4 to 9 pm) zone 2ST1101 Introductory Statistics zone 2
TUESDAY
MM1116 Further Maths zone 2MM3002 Industrial Statistics (10 to 1 pm) zone 2HL4056 Analytical Techniques in Public Health zone 3
WEDNESDAY
ST2000 Further Applied Statistics zone 2MM2200 Pure Maths 2 zone 2
THURSDAY
MM1004 Introductory Probability zone 2MM3318 OR (Mathematical Programming) zone 2MM2003 Discrete Maths zone 3
MM2005 Spreadsheet Modelling (5 to 9 pm) zone 2MM2217 Social and Historical Aspects of Maths (5 to 9 pm) zone 2MM1007 Introd Data Analysis for Business (Compton) zone 2
FRIDAY
ST1001 Inference and Data Analysis zone 2
staff2000 Page 45 5/13/2023/tt/file_convert/5c414c5793f3c338dc254d55/document.doc