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The University of Southampton

ECON2036 Research Skills for an Economist

Module Overview

The aim of this module is to provide students with the opportunity to develop economics skills to be well prepared for the design and successful completion of the final year research project and, most importantly, to be in a position to work as a professional economist. The course requires a minimum knowledge of linear and multiple regression analysis. It complements the non-credit bearing Economics Skills and Employability modules offered in the Department and in the School. As part of the assessment, you are expected to work on specific topics in Economics identified by the module coordinator and to engage in group activities and develop your ability to provide your own contribution to a common learning goal. There will not be one-to-one supervision in this module, but you will be exposed to group discussions which will help you in identifying your own research agenda.

Aims and Objectives

Learning Outcomes

Learning Outcomes

Having successfully completed this module you will be able to:

  • Demonstrate knowledge and understanding of mathematical and statistical tools for economic analysis
  • Collaborate with other and contribute effectively to the achievement of common goals
  • Work independently demonstrating initiative and self-management
  • Demonstrate knowledge and understanding of qualitative and quantitative economic data, and the appropriate methods for structuring and analysing such data
  • Demonstrate familiarity with principal sources of economic information and data, and be able to organise and present such data in an informative manner
  • Produce reasoned arguments and reach logical conclusions, and support both by references to relevant theoretical frameworks and supporting evidence, including the appropriate literature
  • Communicate economic arguments in written and oral form
  • Use email, access information via the Web and undertake basic word processing
  • Use quantitative reasoning in economic contexts
  • Analyse and interpret data using a range of statistical computer software
  • Identify, select and access a range of sources of printed, electronic and other material as a means to the development and presentation of arguments and evidence


The module will cover: - Abstracts and Literature Reviews - Quantitative Research Techniques and Data Analysis - Case Studies - How to Write an Original and Feasible Research Proposal - Practical Issues in Research - Research Ethics - Communication Skills

Learning and Teaching

Teaching and learning methods

A mix of teaching in lectures, computer labs, tutorials and blended learning.

Independent Study130
Total study time150

Resources & Reading list

General. Blackboard and on-line material



MethodPercentage contribution
Group work activities 50%
Multiple choice Test 5%
Peer review 45%


MethodPercentage contribution
Research proposal 100%

Repeat Information

Repeat type: Internal & External

Linked modules

Pre-requisite: ECON1007


Costs associated with this module

Students are responsible for meeting the cost of essential textbooks, and of producing such essays, assignments, laboratory reports and dissertations as are required to fulfil the academic requirements for each programme of study.

In addition to this, students registered for this module typically also have to pay for:

Books and Stationery equipment

Recommended texts for this module may be available in limited supply in the University Library and students may wish to purchase reading texts as appropriate.

Please also ensure you read the section on additional costs in the University’s Fees, Charges and Expenses Regulations in the University Calendar available at

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