AMITY GLOBAL BUSINESS SCHOOL

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Module Syllabus

Course Diploma in Business Management Module Title Business Analysis

Module Syllabus no. (if any)

Year offered 2017

Start date Feb/Apr/Sep 2017

End date Jan/March/Aug 2018

Module Description The module begins by reviewing various techniques for collecting and presenting data. Some important measures and techniques for making sense of raw data are then introduced which are widely used by businesses when analysing both their internal and external environments. This module builds on the introduction to spreadsheet packages previously encountered within the core Learning and Skills Development in Business module or its equivalent. Students will be helped to develop further their hands-on skills in using such packages in computer workshops. Careful attention will also be paid throughout the module to the interpretation and application of the various quantitative methods and techniques to the solution of real-world business problems. One of the main focuses for the design of this module has been the further development of relevant employability and professional skills. Such skills are implicit in the learning outcomes.

Outline Content - Data presentation and collection - Central location and dispersion - Regression and correlation - Time series - Index numbers - Time value of money - Probability distributions - Sampling and tests of hypothesis

No of teaching hours 24 Hours

Teaching Methods Lectures, tutorials, case-studies analysis, research journals and group discussion.

Assessment Methods and Weightages 3000 Word Assignment (100%)

Skills for Maximising Learning Outcomes Reading and research

Dates of examinations, major assessments and assignments Jan/March/Aug 2018

Key Text Burton, G., Carrol, G. and Wall, S. (2002) Quantitative Methods for Business and Economics 2nd edn. FT/Prentice Hall Student module guide Lecturer encrypted website to accompany the key text Student website to accompany the key text.

Additional Remarks (if any)

AMITY GLOBAL BUSINESS SCHOOL

FRM-007 Page 2 of 2 Version 1.0

Learning Outcomes (threshold standard)

Type On successful completion of this module the student will be expected to be able to:

Knowledge and understanding

Identify and assess the usefulness of key numerical, graphical and statistical indicators of business activity;

Knowledge and understanding

Demonstrate an awareness of how these various quantitative indicators can be used by businesses to better inform their decision making

Intellectual, practical, affective and transferable skills

Apply statistical packages and spreadsheets to support the quantitative analysis of raw data.

Lesson No. Learning Outcome

1 Data presentation and collection

2 Central location and dispersion

3 Regression and correlation

4 Time series

5 Index numbers

6 Time value of money

7 Probability distributions

8 Sampling and tests of hypothesis