Module: BMA4003-20 Managing Data

Level: 4

Credit Value: 20

Module Tutor: Dr Wanru Yao

Module Tutor Contact Details: w.yao@bathspa.ac.uk

1. Brief description and aims of module

This module is designed to provide an introduction to the use and interpretation of numbers useful to business. As a result, it is of particular value to students of Business and Management; students taking other subjects that rely on quantitative data may also find this module beneficial. This introductory module assumes a basic level of maths as a starting point. Working with data is important in other year 1 modules, for example Economics. The acquisition of advanced spreadsheet skills, which have direct applications in business, will be a feature of this module.

In this module, you will be able to demonstrate the following Graduate Attributes:

• Able to understand and manage complexity, diversity and change;

• Digitally literate: able to work at the interface of creativity and technology;

• Critical thinkers: able to express their ideas in written and oral form, and possessing information literacy.

2.Outline syllabus

The module will cover some of the most useful numerical tools and softwares e.g. Excel (SPSS) used in business. These will include: collecting, presenting, and summarising data; probability and expected value models; the normal distribution and confidence intervals; financial models including interest, net present value, and IRR; linear programming; correlation and regression; time based forecasting models; and computer workshop sessions which will be used to teach you to use the power of computers to reach solutions to numerical problems, and extend and develop your ability in using Excel.

3.Teaching and learning activities

All of the above will be placed into the context of the business/economic world, and you will learn how different sorts of numbers are used to make business and financial decisions.

Teaching will include a 1-hour lecture, a 1-hour workshop and a 2-hour seminar every week. Students will work both individually and in teams. Appropriate technology will be used to enhance learning and as a communication platform both between tutor and student and student to student. All teaching and learning activities will aim to develop student autonomy, engagement, problem solving and analytical skills.

Assessment Item 1:

• Assessment Type: Exam

• Description: Assessed Seminars (Computer)

• % Weighting: 50%

Assessment Item 2:

• Assessment Type: Exam

• Description: Multiple Choice Exam (1 hour, unseen)

• % Weighting: 50%