Course Details

Course Code(s):
EC5007
Available:
Part-Time
Intake:
Autumn/Fall
Course Start Date:
Monday, September 23, 2024
Duration:
12 Weeks
Award:
University Certificate of Study
Faculty: Kemmy Business School
Course Type: Professional/Flexible, Online
Fees: For Information on Fees, see section below.
Application Deadline:

Contact(s):

Name: Dr Mauricio Perez Alaniz
Email: Mauricio.PerezAlaniz@ul.ie
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Brief Description

This course qualifies for 80% funding under the HCI Micro-Credential Course Learner Subsidy. Check fees section for details and eligibility.   Please Note:   Applicants may only apply for and receive, one subsidised course per semester. 

Please ensure you enter the Module Code above when applying for this module. Applications without this cannot be processed. You may apply for more than one module under the same application. 

Module Description 

Module Code 

NFQ Level 

ECTS Credits 

Start Date 

Fee 

  Data Exploration and Analysis

EC5007 

9

9

23/09/2024

  €800

This micro-credential represents a single module within a larger further award (eg. Certificate, Diploma, Masters). By taking this micro-credential you may be eligible to apply for a credit exemption should you progress to study for a further award. 

The programme associated with this MicroCred is: 

Enables student to develop key skills in data analysis. Students will apply inferential statistical techniques to data, as well as understanding and critiquing the analyses of others. Provides the base to explore future career opportunities in business intelligence and data science. 

Learning Outcomes

On successful completion of this module, students will be able to:
1. Find sources of economic data.
2. Explain the principal methods of analysing data (e.g. the intuition underlying hypothesis testing and OLS estimation).
3. Present economic relationships and estimates in words, graphically, and through equations. 
4. Analyse economic data using appropriate models and methods (e.g. linear regression) using statistical software. 
5. Interpret the results of statistical analysis and estimated models (e.g. hypothesis testing and OLS estimates).
6. Demonstrate an appreciation of the limits of statistical analysis, especially inferring causality in a statistical association.
7. Display ethical standards in the representation of statistical outcomes. 
8. Judge the quality of sources of economic data.

Assessment

Continuous assessment (Data analysis project)

Weekly Time Commitment 

3 hours

Designed for people who want to study economics at postgraduate level, but do not have a strong background in the topic. The module is suitable for professionals who want to upskill in economics, and who already hold an honours degree or equivalent in a non-economic discipline. It will also benefit those who want to build up credits to seek a master’s degree in economics. Applications with a lower result or a Level 7 qualification will be considered on a case-by-case basis.

Entry requirements are established to ensure the learner can engage with the course material and assessments, at a level suitable to their needs, and the academic requirements of the module. By applying to this micro-credential, you are confirming that you have reviewed and understand any such requirements, and that you meet the eligibility criteria for admission. 

Successful completion of this module does not automatically qualify you for entry into a further award. All programme applicants must meet the entry requirements listed if applying for a further award. 

€800 for EU and Non EU students

HCI Micro-Credential Course Learner Subsidy - Candidates who satisfy the eligibility criteria can qualify for 80% funding subject to the availability of places. To clarify eligibility please go to Eligibility Criteria 

Please click here for information on funding and scholarships.