Overview
Course outline
Entry
Career path

Course Overview

This QQI micro-credential programme is designed to meet a growing industry demand for increased knowledge and competence of digitisation, with a particular focus on management of data through statistics, data analysis and visualisation.

The programme will provide learners with foundational knowledge that develops graduates’ capabilities to keep pace with rapidly occuring changes in the nature of operators’ work in advanced
manufacturing settings.

The modules, which include Fundamentals of Maths & Statistics, Data Analysis and Visualisation and Industrial Statistics, will prepare learners to work in advanced manufacturing settings.

Accreditation: QQI Level 6 Special Purpose Award in Data Visualisation and Analysis (25 ECTS)

Next Intake: April 2025. Now accepting applications.

*Funding: This is a Skills to Advance subsidised training opportunity for employers seeking to upskill their employees. Applicants must be in current employment. For further information on the Skills to Advance funding policy, please contact the AMTCE team https://amtce.ie/contact/

Continue to the Course Outline section for module information.

Course Outline

The course duration is 5 months. The programme is delivered in a blended format, with online lectures during the week. Saturday lectures are a blend of classroom and online. (ECTS: 25 Credits)

Module 1: Fundamentals of Maths and Statistics

Fundamentals of Maths
Geometry
Functions
Algebra
Trigonometry
Statistics and Probability

Module 2: Data Analysis and Visualisation

Data Analysis
Basics of Data Visualisation
Visualisation Design and Data Visualisation Types
Evaluation of Visualisation Methods
Applications of Visualisation

Module 3: Industrial Statistics

Single-factor Experiments
Multi-factor Experiments
Correlation, Regression and Association
Statistical Process Control & Measurement System Validation

Entry Requirements

This course is suitable for those with a minimum qualification at H7/O6 in five Leaving Certificate subjects or equivalent (including Maths). Proficiency in English Language Required. (B2+ level or equivalent on the Common European Framework of Reference for Language (CEFR).

Career Path & Progression

Career Path

With the growing demand for data-driven decision-making across industries, this Certificate in Data Visualisation and Analysis is suitable for those who wish to:

1. Gain an entry-level position in data analysis and visualisation

2. Enhance their existing skills to pursue a data-focused role within their current industry

Possible roles you could fill upon completion of this course include:

Data Visualisation Specialist
Junior Data Analyst
Data Visualisation Engineer
Research Analyst
Statistical Analyst
Operations Analyst
Quality Control Analyst

This course provides a solid foundation in mathematics, statistics, data analysis, and visualisation techniques, leading to opportunities across various sectors including finance, healthcare, technology, and manufacturing. The skills acquired are highly transferable and in high demand as data becomes increasingly central to business operations. Graduates may find roles in companies seeking to leverage data for strategic decision-making and performance improvement, with growing opportunities in the job market for professionals possessing this valuable skill set.

Progression

Learners may complete additional Innopharma Education QQI Micro-Credential programmes and work towards completing a Level Certificate in Operational Excellence for Digitisation (Minor Award with 60 ECTS) or Level 6 Certificate in Information Technology for Digitisation (Minor Award with 60 ECTS) or Level 6 Higher Certificate in Process Digitisation (120 ECTS).