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 |
Taught in Gaelic? | No |
| 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 (not applicable to Visiting Students)
| Pre-requisites |
|
Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
| Additional Costs | None |
Information for Visiting Students
| Pre-requisites | None |
| Displayed in Visiting Students Prospectus? | No |
Course Delivery Information
|
| Delivery period: 2012/13 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 |
| Exam Information |
| Exam Diet |
Paper Name |
Hours:Minutes |
|
|
| Main Exam Diet S1 (December) | Business Statistics and Forecasting | 2:00 | | |
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
&·An exam (weighted 70%)
&·Individual assignment (weighted 30%).
&·The degree exam will be in the December diet of
examinations.
|
Special Arrangements
| None |
Additional Information
| Academic description |
Not entered |
| Syllabus |
Not entered |
| Transferable skills |
Not entered |
| Reading list |
Not entered |
| Study Abroad |
Not entered |
| Study Pattern |
Not entered |
| Keywords | Not entered |
Contacts
| Course organiser | Dr Galina Andreeva
Tel: (0131 6)51 3293
Email: |
Course secretary | Ms Genevieve Whitson
Tel: (0131 6)51 5671
Email: |
|
© Copyright 2012 The University of Edinburgh - 7 March 2012 5:47 am
|
University Homepage