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EC5901: MSC APPLIED ECONOMICS DISSERTATION (2017-2018)

Last modified: 27 Feb 2018 13:51


Course Overview

This course provides a systematic approach to developing and executing a research agenda on a topic chosen by the student together with an academic supervisor. This project provides the students the opportunity to use the appropriate specific econometric and statistical tools and endow them with the ability to use these tools for their own research project. It enables the students to understand the basic methods of quantitative research, develop their ability to think and act strategically in planning a research project, set up an applied research question, choose the appropriate quantitative tools, and carry out the statistical/econometric investigation.

Course Details

Study Type Postgraduate Level 5
Term Second Term Credit Points 60 credits (30 ECTS credits)
Campus None. Sustained Study No
Co-ordinators
  • Professor Ioannis Theodossiou

Qualification Prerequisites

None.

What courses & programmes must have been taken before this course?

  • Either MSc Applied Economics (Studied) or MSc Applied Economics (Health) (Studied)
  • Any Postgraduate Programme (Studied)

What other courses must be taken with this course?

None.

What courses cannot be taken with this course?

None.

Are there a limited number of places available?

No

Course Description

Research project and data management; self-evaluation of learning; written communication skills. This course primarily consists of students’ self-directing their own research project and writing it up.

Contact Teaching Time

Information on contact teaching time is available from the course guide.

Teaching Breakdown

More Information about Week Numbers


Details, including assessments, may be subject to change until 30 August 2024 for 1st term courses and 20 December 2024 for 2nd term courses.

Summative Assessments

Continuous assessment (100%) consisting of a dissertation of maximum 12,000 words.

Formative Assessment

There are no assessments for this course.

Feedback

None.

Course Learning Outcomes

None.

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