The University of Southampton
Courses

ECON6001 Preliminary Mathematics and Statistics

Module Overview

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.

Aims and Objectives

Module Aims

The module provides some basic tools needed for the modules on the Masters programmes given by the Economics department. It is a very concentrated course, lasting for two and a half weeks. At the end there is a test to identify any areas of weakness in the student's understanding, The mark from the test does not contribute to the final assessment of the student. The contribution of this module is registered in the student's performance in the modules that rely upon this one.

Learning Outcomes

Learning Outcomes

Having successfully completed this module you will be able to:

  • Demonstrate knowledge and understanding of the key concepts and their application

Syllabus

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.

Learning and Teaching

TypeHours
Teaching40
Total study time40

Resources & Reading list

A Guide to Modern Econometics. 

Econometric Analysis. 

Introduction to Econometrics. 

Mathematics for Economic Analysis. 

Other course information available via blackboard.. 

Mathematics for Economics. 

Assessment

Assessment Strategy

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.

Summative

MethodPercentage contribution
Test 100%

Referral

MethodPercentage contribution
Exam 100%
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