Overview
Course outline
Entry
Career path
How to apply

Course Overview

The Certificate in Data Analysis and Management is designed for ambitious professionals across pharmaceutical, biotech, medtech, and advanced manufacturing sectors, this Data Analytics programme equips learners with the essential skills to thrive in today’s data-driven, GMP-regulated environments. Covering the full data lifecycle, from governance and collection to statistical analysis and data-driven project management, the programme enables participants to confidently interpret complex manufacturing data and drive informed decision-making.

Through three applied modules, learners develop practical expertise in data integrity, analytical techniques, and structured project delivery, aligning with critical skills identified by Ireland’s Expert Group on Future Skills Needs. With strong industry demand driven by rapid digitalisation and Industry 4.0 advancements, this flexible programme is ideal for professionals and graduates seeking to upskill, enhance operational performance, and advance their careers in Ireland’s globally significant life sciences and manufacturing sectors.

ACCREDITATION: QQI Level 7 Certificate in Data Analysis and Management (Subject to validation)

FUNDING: This course is funded by the Micro-credential Learner Fee Subsidy 2026 programme and fees are subsidised at 80% for all eligible learner categories.

DURATION AND HOURS: This part-time programme runs over one semester, with lectures delivered online for a maximum of two evenings per week, alongside occasional Saturday sessions delivered through a blend of online and in-class learning.

WHO IS THE PROGRAMME FOR:

The programme is intended to support both upskilling and reskilling opportunities for: 

Professionals working in manufacturing, engineering, quality, operations, supply chain, laboratory, pharmaceutical, healthcare, business or technical environments who are increasingly required to interpret and communicate data to support operational and strategic decision-making.
Learners seeking to upskill or reskill in the areas of data analytics, reporting, business intelligence and digital transformation.
Technical and operational personnel involved in process improvement, reporting, compliance, project coordination or digitalisation initiatives.
Graduates of science, engineering, computing, business or related disciplines seeking applied industry-relevant data analysis competencies.
Adult and part-time learners seeking flexible study opportunities that can be balanced alongside employment and personal commitments.

WHAT WILL I LEARN?

The programme develops labour market relevant skills through three applied modules:

Module 1 – The Management of Data (10 ECTS) – builds competency in data governance, integrity, collection, and storage within regulated environments, equipping learners to implement robust data management systems compliant with GMP and data integrity requirements.

Module 2 – The Analysis of Data (5 ECTS) – develops applied statistical and analytical skills, enabling learners to interpret manufacturing datasets, identify trends, and support evidence-based decision-making.

Module 3 – Data-Driven Project Management (5 ECTS) – equips learners to apply structured, data-informed project management frameworks to drive process improvement initiatives.

Together, these modules develop competencies the Expert Group on Future Skills Needs (EGFSN) has identified as critical for Ireland’s digitally enabled life sciences and manufacturing sectors.

OBJECTIVES

The objectives of the programme are to:

Explain the principles and applications of database management systems, relational databases and NoSQL data models within modern organisational environments.
Apply appropriate statistical and analytical techniques to interpret structured and unstructured datasets and support informed decision-making.
Develop and communicate data insights effectively through technical reports, dashboards, visualisations and professional documentation.
Utilise Agile and data-driven project management approaches to support collaborative project planning, execution and communication.
Evaluate ethical, legal and governance considerations associated with data management, analytics and digital transformation.
Select and apply suitable tools, methodologies and visualisation techniques to address practical organisational and industrial data challenges.
Demonstrate independent learning, critical thinking and problem-solving skills within data-focused and digitally enabled professional contexts.
Develop practical competencies that support progression into further study and employment within data analytics, digitalisation and operational improvement environments

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National and regional demand for this programme is well evidenced. Ireland’s pharmaceutical and MedTech sectors – employing over 50,000 people and generating more than €150 billion in exports annually – are undergoing rapid digitalisation through Industry 4.0, process analytical technology, and digital quality systems. The EGFSN and SOLAS consistently highlight critical shortages in professionals with data management and analytics expertise within regulated manufacturing.

Entry Requirements

Applicants should hold:

A minimum of 120 ECTS at level 6 on the NFQ in science, computing, engineering or cognate discipline

Equivalent qualifications and/or relevant professional experience through Recognition of Prior Learning (RPL).

Applicants are expected to have basic ICT competence, including use of spreadsheets, file management, online learning platforms and standard productivity software. As the programme includes statistical analysis and database querying, applicants should also have basic numerical competence.

Career Opportunities

Potential career opportunities following the successful completion of this course include:

Core Data Analysis Roles:

Junior Data Analyst
Graduate Data Analyst
Reporting Analyst
MI (Management Information) Analyst
Operations Analyst

Data Management & Governance Roles:

Associate Database Administrator
Data Quality Analyst
Data Governance Assistant
Master Data Management (MDM) Administrator
Data Entry Specialist

Specialized & Hybrid Roles:

Junior Business Intelligence (BI) Analyst
Data Annotation Analyst
Product Data Analyst
Market Research Analyst
E-commerce Data Analyst

PROGRESSION

Level 6 – Certificate in Information Technology for Process Digitisation

Apply Now

Our admissions team are on hand to assist you with your application and answer any questions you may have on the course.

Students who wish to apply to this course should follow the following application process.

Step 1: Enquire through the form at the top right of this page

Step 2: A member of our team will be in contact through phone or email

Step 3: If you are deemed to be eligible for the course, you will be sent an application form by email. You MUST fill in this application form and attach all necessary *documents (CV, ID, Transcripts, etc.)

Step 4: On submission of the completed application form and all documentation, your application will be sent to the associated department for final approval. You will receive an e-mail confirming your place on the programme. (Note: This process can take up to one week particularly during busy admission periods.)

*We accept scanned documents in a pdf format. Pictures of documents are not accepted.

**For those who are applying for Springboard funding, you will be directed to fill out an additional application form on the Springboard website, this is to confirm your eligibility to receive funding

Please note at any time if you have any questions please do not hesitate to contact us by email on admissions@innopharmalabs.com or call us (01) 485 334