Why Study This Programme?

Data is the lifeblood of many industries and understanding how to process, analyse and visualise that data is a skill much sought after by employers. The Diploma in Data Analytics is aimed at people who want to learn these skills and advance their career prospects. It’s also great if you work with data and want to boost your knowledge of analytics tools and processes to improve your overall productivity.

Programme Overview

The Higher Diploma in Data Analytics* is a one-year (60 credit) Special Purpose Award (SPA) programme that is awarded at Level 8 on the National Framework of Qualifications.

*Subject to validation by QQI

Data analysis is the process of evaluating datasets using statistical tools to reveal information you can make decisions with. Data analytics essentially examines large datasets to uncover not easily recognisable patterns, correlations, and other insights.

We’ll start by looking at the principles of the Data Analysis process, and the types of data you’ll be working with. Then we’ll examine the business aspects of analytics, the stakeholders and the Key Performance Indicators they use for decision making.

We then take a hands-on approach to guiding you through the tools that Data Analysts use every day; Excel, R, Python and Tableau, and how to apply these to real-world datasets and examples.

*

Who Is This Programme For?

The Diploma in Data Analytics is a one-year (60 credit) Special Purpose Award (SPA) programme that is awarded at Level 8 on the National Framework of Qualifications.

This diploma provides comprehensive coverage of the key aspects of the Data Analytics industry. It aims to deliver an in-depth analysis of the core issues that parties typically encounter in Data Analytics.

This course is intended for anyone who wants to take the data analysis technologies in Excel and similar Analysis Tools beyond formulas and add more advanced capabilities such as dashboards, hierarchies, and relationships.

Course Content

  • Understanding Business Intelligence, Metrics, and KPIs
  • Data Sources, Relational Databases and SQL
  • The Data Analysis Process
  • Working with Time Series, Cross-Sectional and Panel Data
  • Identifying Trends and Patterns with Regression and Correlation
  • Data Analysis Functions in Excel
  • Processing and Cleaning Data in Excel with IF, VLOOKUP and Text Functions
  • Creating Pivot Tables, Pivot Charts and Advanced Visualisations in Excel
  • Data Processing, Visualisation and Publication using R Studio
  • Using Python Pandas for Analytics
  • Building and Publishing Dashboards with Tableau
  • Data Science and Machine Learning Algorithms

Programme Structure

This programme will be offered through both part-time and blended learning. Learners wishing to study part-time will be on campus 2 evenings per week and some Saturday workshops. Learners choosing to study the blended option will be studying online 3 evenings per week. The programme takes one academic year to complete.

Entry Requirements

Application to programmes are open to those learners who meet the minimum entry requirements, namely an ordinary leaving certificate or equivalent and/or practical experience in the field of study. FETAC/QQI applicants must have achieved a full FETAC/QQI Level 5/Level 6 Major Award.

Mature applicants are also welcome to apply. Candidates must be 23 years of age or over on the 1st January of the year of entry to their programme of study. An applicant applying on the basis of Recognised Prior Learning (RPL) must demonstrate their ability to succeed by providing evidence of current and prior learning and work experience, explaining their motivation, and how committed they are to succeeding on the course. These applicants are considered based on their previous studies, and relevant work and life experience. This means you must submit a detailed CV, personal statement outlining your motivation for studying now, 2 work based references and any documentation such as training courses that you completed. This will demonstrate your engagement in learning in different contexts and assure a timely decision on your application.

For applicants whose first language is not English, a B2+ in CEFRL (IELTS Academic score of 6.0, or equivalent), is needed.

How To Apply

Applicants can apply for this programme by completing this online application form a member of the Admissions team will be in contact with you within 1 working day to advise you on the next steps to enrolment