Business Analytics (MANP001)

This module information is representative of what is included in the module in a given year. Details of actual reading, lectures, assessment and coursework may vary year to year and will be available at the beginning of the semester.

 

Module Co-ordinator

Dr Gerry Edgar

Semester

Autumn

Level

11

Credit value

20

Contact hours

40 contact hours

Assessment

40% individual assignment x 2
20% group presentation

Modern businesses have vast amounts of data.  Often data are overwhelming and add to the confusion of managers striving to control their organisation.  But a knowledge of basic techniques can help you use the data to gain insights into problems and explore possible solutions. The module develops a capability in the techniques which are central to much quantitative analysis in management.  In addition to developing your technical capability, the module encourages creativity in analysis, often the greatest challenge is in selecting the most appropriate technique and deploying it in a meaningful way.  The objective is to turn data into valuable information, enabling managers to make better decisions. Business Analysis will be put into practice via the development of a range of consultancy skills.

Syllabus Outline

Business Analytics combines statistics and modelling.  Statistics seeks to clarify and summarise numerical data and then make deductions from those data.  A command of a few statistical techniques provides great power to managers, enabling them to combine judgement with quantitative evidence to inform decisions.  For example, following an expensive marketing campaign, this year’s sales have increased but is this just due to chance or a result of the campaign?  Statistics provides a language for examining uncertainty and distinguishing acceptable business risks from foolhardy gambles.

In addition consultancy skills are essential to putting the Business Analysis into practice. The analyst must carefully define the problem with the client. Effective presentation and report writing skills are essential both for initially tendering for a project and presenting findings.

The aims and objectives of the module are:

  • Develop vital modelling skills, and provide an opportunity to explore other more sophisticated techniques.
  • To develop computer based skills for both statistics and modelling methods.  This module employs Excel in a range of applications in statistical analyses and forecasting.
  • In addition consultancy skills are essential to putting the Business Analysis into practice. The analyst must carefully define the problem with the client. Effective presentation and report writing skills are essential both for initially tendering for a project and presenting findings.
  • A student completing this module will have developed a range of skills for problem definition and solution and also skills to help sell the results to clients.

Learning outcomes

By the end of the module, students are expected to have developed the following learning outcomes and skills:

Specific knowledge and understanding of current developments in the subject.

  • knowledge of problem definition techniques
  • appreciate and perform quantitative techniques much used in business analysis and decision making
  • appreciate the role of modelling in business analysis;
  • develop an awareness of the uncertainties in data and the methods of coping with these uncertainties
  • familiarise with the use of Excel and in business analysis, including advanced features which enable a wide range of statistical analyses and modelling.

 Generic skills (e.g. Information skills/oral and written communication skills/numeracy/team working/personal organisational skills).

  • enhanced report-writing  and presentation skills
  • teamworking skills

Cognitive: (e.g. analytical/problem-solving/interpretative/critical reasoning).

  • develop problem formulation and interpretation capability in the context of the business.

Programmes Learning Outcomes met by this module

PLO01     Acquire knowledge, skills and experience for a successful career in data science and business.

PLO02     Develop an understanding of the diversity of organisations, their process, systems and opportunities for the application of data science.

PLO03     Develop an understanding of the application and implications of data analytics in organisations across different sectors.

PLO04     Develop knowledge and skills of data analytics tools and techniques for business decision making. 

PLO05     Develop and enhance capabilities and confidence for championing data analytics projects across all type of organisations.

PLO06     Understand the impact of global environmental forces on organisations, including: legal and political systems; demographics; ethical, social, and technological change issues on data driven organisation.                                 

PLO07     Understand the impact of sustainability, ethics and risk management on business decisions and performance.

PLO09     Develop consultancy skills and apply them in projects with external organisations.                          

PLO10     Develop and understanding and appreciation of the complexity of managing change.

PLO11  Develop and enhance personal, critical, analytical, interpersonal, leadership and entrepreneurial skills

Introductory reading

To be confirmed.

 

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