Postgraduate Course: Economics and Business Analytics (CMSE11414)
Course Outline
| School | Business School |
College | College of Arts, Humanities and Social Sciences |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Available to all students |
| SCQF Credits | 15 |
ECTS Credits | 7.5 |
| Summary | The objectives of the course are to give students both knowledge and understanding of selected key concepts in business economics and management science and the knowledge to understand when these concepts may be useful to make decisions. The basic skills to implement these techniques will also be developed. The first part of this course places special focus on the factors that influence the firms' economic environment, which, in turn, determines the level, growth and sustainability of profits. These include consumer demand, technology and costs, competition, entry, pricing strategies, and government regulations. The second part of this course focuses on the science behind decision-making, covering a wide range of quantitative methods typically employed to that end, such as forecasting and optimisation, and data visualization. |
| Course description |
The Economics part of the course comprises the following topics:
1) Quantitative Demand Analysis (drivers of demand and the econometric estimation of demand functions).
2) Productivity and Efficiency Analysis (Economies of Scale and Data Envelopment Analysis)
3) Market Structure, Conduct and Performance (The functioning of the market and the SCP Paradigm)
4) Pricing with Market Power (Price Discrimination and Versioning)
5) Network Economics
The Business Analytics part of the course comprises the following topics
6) Forecasting and Optimization (Time-series analysis and Linear Programming)
7) Decision Analysis (Single and multi-criteria methods, Location Analysis)
8) Data Visualization
9) Introduction to Data Mining (Clustering)
Student Learning Experience:
The weekly lectures will explore core concepts while the tutorials focus on the practical applications. Real-life examples will be discussed in class.
Tutorial/seminar hours represent the minimum total live hours - online or in-person - a student can expect to receive on this course. These hours may be delivered in tutorial/seminar, lecture, workshop or other interactive whole class or small group format. These live hours may be supplemented by pre-recorded lecture material for students to engage with asynchronously.
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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 |
| High Demand Course? |
Yes |
Course Delivery Information
| Not being delivered |
Learning Outcomes
On completion of this course, the student will be able to:
- Apply economic concepts for the quantitative analysis of demand, pricing, productivity or efficiency as well as the qualitative understanding of market stucture and its implications on firm performance.
- Apply tools of business analytics (including data visualization) to the analysis of future demand, resource optimization, optimal business location or customer segmentation.
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Reading List
Baye, M. Managerial Economics and Business Strategy. McGraw Hill. (7th ed)
Anderson, D.R. Sweeney, D.J., Williams, T.A. and Wisniewski, M. (2009). An Introduction to Management Science: Quantitative Approaches to Decision Making. South Western
Resource List:
https://eu01.alma.exlibrisgroup.com/leganto/public/44UOE_INST/lists/26181448760002466?auth=SAML |
Additional Information
| Graduate Attributes and Skills |
After completing this course, students should be able to:
-use certain economic principles to recommend decisions to managers or evaluate certain decisions that managers make in the light of economic principles and models;
-analyse the demand, cost, and competitive conditions facing an organisation and their impacts on pricing, productivity and/or efficiency;
-identify situations in which model-building methods can be applied in the management decision process;
-build and solve certain types of model in Excel and interpret their solutions;
-use several analytics software packages;
-design effective data visualizations. |
| Keywords | Not entered |
Contacts
| Course organiser | Dr Augusto Voltes-Dorta
Tel: (0131 6)51 5546
Email: |
Course secretary | Miss Mary Anne Boeff
Tel: (0131 6)50 8072
Email: |
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