Postgraduate Course: Business Statistics and Forecasting (CMSE11080)
Course Outline
| School |
Business School |
College |
College of Humanities and Social Science |
| Course type |
Standard |
Availability |
Available to all students |
| Credit level (Normal year taken) |
SCQF Level 11 (Postgraduate) |
Credits |
15 |
| Home subject area |
Common Courses (Management School) |
Other subject area |
None |
| Course website |
None |
|
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| Course description |
This course introduces students to basic business statistics and aspects of decision-making. It examines aspects of business and marketing with regards to basic statistical analysis. In addition, students learn about methods for predicting and forecasting and how it contributes towards managerial decision-making about future actions. Students will be provided with the theoretical concepts, tools and methods of forecasting as well as the opportunity to work through real-life examples. |
Entry Requirements
| Pre-requisites |
|
Co-requisites |
|
| Prohibited Combinations |
|
Other requirements |
None
|
| Additional Costs |
None |
Course Delivery Information
|
| Delivery period: 2010/11 Semester 1, Available to all students (SV1)
|
WebCT enabled: Yes |
Quota: None |
| Location |
Activity |
Description |
Weeks |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
| No Classes have been defined for this Course |
| First Class |
First class information not currently available |
Summary of Intended Learning Outcomes
A. Knowledge and understanding of
* the key terminology, concepts and tools used in business statistical analysis and forecasting;
* the range of business statistics used;
* the range of quantitative methods and tools used in forecasting;
* the underlying assumptions of analysis tools;
* the issues surrounding sampling and significance;
* the uses and limitations of statistical analysis;
* the capabilities of computer software for statistical analysis.
B. Intellectual skills
Students will develop analytical skills such as:
* the ability to recognise statistical and forecasting techniques appropriate to the analysis of particular business problems or situations;
* the ability to select appropriate statistical and forecasting techniques and evaluate their relative merits and costs;
* the ability to calculate and interpret forecasting and business statistics.
C. Professional/subject specific/practical skills
Students will gain:
* the experience of working with data sets and applying business statistics and forecasting;
* the experience of using computer software packages in statistical analysis and forecasting;
* the ability to access and interpret existing business statistics and forecasting information.
D. Transferable skills
By the end of the course students will be expected to:
* be able to use computer software packages in the analysis of business operations and forecasting;
* be able to work individually and as a team in the construct and interpretation of business statistical analysis reports;
* be able to present the results of business analysis and forecasting techniques.
|
Assessment Information
| Assessment of this course is through the degree examination (weighted 100%) in the December diet of examinations. |
| Please see Visiting Student Prospectus website for Visiting Student Assessment information |
Special Arrangements
| Not entered |
Contacts
| Course organiser |
Dr Galina Andreeva
Tel: (0131 6)51 3293
Email: Galina.Andreeva@ed.ac.uk |
Course secretary |
Ms Olivia Little
Tel: (0131 6)51 3013
Email: olivia.little@ed.ac.uk |
|
copyright 2010 The University of Edinburgh -
1 September 2010 5:45 am
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