Program Overview

Introduction to the Data Analytics Program

The Data Analytics program is a 7-week, Level 9 micro-credential designed for professionals with a basic knowledge of Python working in computing, engineering, science, or other technical fields. This program aims to equip students with practical data analytics skills, enabling them to drive smarter decisions across various sectors.

Program Content

During this module, students will:

• Develop core skills in data preparation, modeling, and visualization using industry-standard analytics tools.
• Use foundational tools widely adopted in data science workflows to perform tasks such as exploratory analysis, modeling, and visualization, and apply techniques including data cleaning, feature selection, classification, clustering, and regression.
• Learn to interpret and present data-driven insights to support decision-making across technical and business contexts.
• Boost their career opportunities in data-driven roles or progress towards a master's degree in data analytics or artificial intelligence.

Key Information

• This micro-credential will be delivered online over 7 weeks.
• Students will be continuously assessed through 3 assignments and 3 online quizzes.
• The program is designed for working professionals, with evening or recorded lectures and additional preparation and group work time.

Entry Requirements

To be successful on this course, applicants should:

• Hold a bachelor's degree (NFQ Level 8) with at least a second-class honors (2:2) in a relevant engineering, computing, mathematics, science, or technology discipline or a discipline that has a significant mathematics and computing element.
• Have completed a basic introduction to Python.

Guidelines for Applications

• When applying, be sure to include the Module Code CS5062.
• Applicants confirm that they meet the entry requirements and can take part in the course and its assessments.
• Completing this module does not guarantee a place in a full program.

Fees

• EU and Non-EU: €1,250
• Further information on fees and payment of fees is available from the Student Fees Office.

Graduate Profile

This micro-credential can lead to careers in:

• Data analytics and business intelligence roles across industry and the public sector.
• Data-driven positions in finance, healthcare, logistics, and technology.
• Roles involving data visualization, reporting, and dashboard development.