This two week intensive course is designed to ensure that students starting out on the Dip/MSc programmes have the skills in mathematics and statistics necessary to successful undertake the core courses in economic analysis and econometric methods.
The course has two components-statistics and mathematics-and these are taught in parallel.
Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:
Statistics
On successful completion of this part of the course you will have mastered the basic tools of matrix algebra and probability theory needed for the courses on the Master's programme. These tools are
used most heavily in Quantitative Methods and Econometrics but they are useful elsewhere too. For example, the basic ideas of probability play an important part in decision-making under uncertainty, a central topic in microeconomics and finance. The main topics covered are: Vectors & Matrices: basic properties Probability: random variables, expectations and joint distributions Inference: estimation and testing.
Mathematics
The purpose of this course is to provide the basic mathematical tools needed for Economic Analysis, Microeconomics and Macroeconomics, although the techniques will find application in other courses as well. The main topics covered are: Basic concepts of analysis and convexity Optimisation for static problems Optimisation for dynamic problems.
| Type | Hours |
|---|---|
| Teaching | 20 |
| Independent Study | 130 |
| Total study time | 150 |
Other course information available via blackboard..
Introduction to Econometrics. Addison-Wesley.
Econometric Analysis. Prentice-Hall International.
A Guide to Modern Econometics. John Wiley & Sons.
Mathematics for Economics. Norton.
Mathematics for Economic Analysis. Prentice-Hall.
The preliminary mathematics and statistics course is assessed by a qualifying test at the end of the 2 week course. The mark does not count towards the final mark for the Dip/MSc instructional course.
However if students fail to achieve the required standard, then you may be required to take additional classes in semester 1.
This is how we’ll formally assess what you have learned in this module.
| Method | Percentage contribution |
|---|---|
| Test | 100% |
Repeat type: Internal & External