Postgraduate Course: Business Statistics and Forecasting (CMSE11080)
Course Outline
| School | Business School |
College | College of Humanities and Social Science |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Available to all students |
| SCQF Credits | 15 |
ECTS Credits | 7.5 |
| Summary | 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. |
| Course description |
Not entered
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
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Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
Information for Visiting Students
| Pre-requisites | None |
Course Delivery Information
| Not being delivered |
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.
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Additional Information
| Graduate Attributes and Skills |
Not entered |
| Keywords | Not entered |
Contacts
| Course organiser | Dr Galina Andreeva
Tel: (0131 6)51 3293
Email: Galina.Andreeva@ed.ac.uk |
Course secretary | Katie Harrison
Tel: (0131 6)50 8071
Email: Katie.Harrison@ed.ac.uk |
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