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Awards

Target Award

Award Description:Bachelor of Science with Honours (SW) (Fnd) - SBSHF

Alternative Exit

Alternative Exit

Recruitable Target

Alternative Exit

Alternative Exit

Alternative Exit

Accreditation

Institute of Mathematics and its Applications (IMA)

Programme Offerings

Full-Time

F2F-JMU-SEP

Sandwich Year Out

F2F-JMU-SEP

Educational Aims of the Course

This programme focuses on the application of mathematics and statistics in industry, business and research organisations, and employment therein. Hence it may be characterised as 'practice-based' (as referred to in the MSOR benchmark statement). Its main aims are:

• to provide students with an opportunity to enhance their mathematical and statistical education by studying broad, yet integrated subjects which have application in industry, business and research.

• to produce graduates with the mathematical and statistical knowledge to model, solve and analyse problems using the increasingly sophisticated quantitative techniques adopted by major commercial institutions.

• the development in students of skills which can be utilised in unfamiliar situations, e.g. the ability to conjecture, justify and evaluate.

• to enhance students' key and transferable skills such as communication, applications of IT, working with others, improving their own learning, etc.

• to develop in students an awareness of knowledge and skills necessary for a career as a quantitative analyst in the workplace.

• to produce graduates capable of progression to postgraduate areas of study in mathematical and statistical disciplines.

• to encourage students to engage with the development of employability skills by completing a self-awareness statement.

• for students undertaking a placement year the aim is to provide students with an extended period of work experience at an approved partner that will complement their programme of study at LJMU. This will give the students the opportunity to develop professional skills relevant to their programme of study, as well as attitude and behaviours necessary for employment in a diverse and changing environment.

Learning Outcomes

1.
Demonstrate their knowledge and understanding of a range of fundamental areas of mathematics and statistics applied to business and commerce.
2.
Formulate and model real-world situations and evaluate for accuracy and usefulness.
3.
Use a wide range of appropriate software packages for the analysis/synthesis of information.
4.
Write and test computer programs.
5.
Communicate technical issues in non-technical language.
6.
Plan and manage course/project work.
7.
Present their work in a professional manner using appropriate I.T. and graphical software.
8.
Use information technology, e.g. Internet, for effective information retrieval.
9.
Apply higher order problem solving skills: conjecture, hypothesis, analysis, inference, conclusion, interpretation, evaluation.
10.
Communicate effectively by written or verbal means.
11.
Plan and manage learning and development.
12.
Apply analytical techniques and algorithms to solve quantitative problems relating to business and commerce.
13.
Use and apply a range of mathematical and statistical software to solve problems.
14.
Evaluate the role of computers and I.T. in business and apply programming techniques in the solution of problems.
15.
Represent and explore relationships between algebraic, numerical and graphical forms of representation.
16.
Model stochastic/deterministic systems in a business context.
17.
Apply appropriate problem-solving strategies and select appropriate tools.
18.
Synthesise a balanced viewpoint from a variety of (potentially contradictory) evidence and perspectives.
19.
Demonstrate the skills necessary to plan, undertake and report on a project of original research.

Teaching, Learning and Assessment

Core knowledge and understanding is acquired via lectures, tutorials, practical computing sessions, team working and guided independent study. Independent study is used where appropriate resource material is available and increases as the programme progresses. Assessment methods are specified in each module specification. All learning outcomes in a module are assessed and the type of assessment specified for each outcome. Each module is assessed by examination and/or course work (individual or group). The nature of the course work varies for each module. Intellectual skills are developed and applied through class discussion, individual and group practical work, tutorials and course work assignments. Intellectual skills are assessed via formal examinations and through course work assessment. The final year project, involving a major report and oral presentation, allows a student to demonstrate their cognitive skills. Practical skills are developed throughout the programme, and are reinforced in practical sessions at each level. The basic skills are provided at the lower levels. These are supplemented at higher levels by more advanced tools and techniques. Some of these skills are practised in the placement year. Specialist software is available in School labs or from specified PCs in the libraries. Assessment is normally by course work and formal, written, timed examination. The placement year is assessed, by portfolio, on a pass / fail basis. Key skills are developed throughout the programme in a variety of forms, specifically through a combination of research related coursework, guided independent study and projects, examinations, group work and presentations.

Opportunities for work related learning

5104MATHS Personal and Professional Development - This module provides students with an opportunity to consider their future role as an applied mathematician and develop a plan to enable them to progress in their chosen career. 5100APMATH Sandwich Year Mathematics - The aim is to provide students with an extended period of work experience at an approved partner that will complement their programme of study at LJMU. This will give students the opportunity to develop professional skills relevant to their programme of study as well as the attitude and behaviours necessary for employment in a diverse and changing environment. 6105STATS Statistics in the Workplace - This module aims to give students an experience of campus-based work related learning focusing on the role of a statistician in industry and how statistical methods are applied. Real projects derived from the work setting will be used as case studies to enable students to use their statistical knowledge and skills to solve real-world problems. Actual work-place data and constraints will be used to simulate work problems.

Programme Structure

Programme Structure Description

Students MUST select one option module from each semester at Level 6. The placement year, module 5100APMATH, will follow Level 5 and students will be enrolled on a 600 credit honours sandwich programme. The Level 5 mean for the final award mark will be calculated based upon the 240 credits … For more content click the Read More button below.

Structure

Level 3

Level 4

Level 5

Level 6

Entry Requirements

A levels

Access awards

BTECs

GCSEs and equivalents

IELTS

International Baccalaureate

Interview required

Irish awards

OCR Cambridge Technical

Reduced offer scheme

T levels

UCAS points

Welsh awards

Extra Entry Requirements

Is a DBS check required?

No

HECoS Code(s)

(CAH09-01) mathematical sciences