Program Overview

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Postgraduate Diploma in Digital Transformation (Life Science)

Overview

Digital transformation is the integration of technology into all aspects of a business, and 80% of business leaders believe digital transformation is vital to their industry.

Global spend on Digital Transformation will exceed $2.5T in 2024, and 40% of Irish businesses will need support adopting it in the coming years.

Our programme in Digital Transformation is designed to equip you with the knowledge and skills you need to thrive in any field that embraces digital technology, such as life sciences, advanced manufacturing, regulation, and consulting.

Why study Digital Transformation at Griffith College?

• Gain a leading qualification, helping you to achieve your career goals
• Gain sought-after skills in digital transformation, data analysis, and business to gain jobs in the industry
• Learn to develop and implement digital transformation in organisations
• Explore emerging technologies that are driving growth in organisations
• Combine business knowledge, data, and digital tools to improve organisations

Course Highlights

• Study with ambitious and motivated classmates
• Learn from experienced industry and academic lecturers
• Designed and developed in conjunction with Microsoft
• Gain expertise in process digitisation, digitalisation, data management, data analytics, and data visualisation
• Upskill for the thriving Irish life sciences industry

Intake Dates

• Dublin - Blended - February 2026

Course Modules

Advanced Manufacturing in the Smart Factory

Manufacturing has evolved with the power of digital technologies. Only 30% of organisations say they know which technologies to adopt. You will learn how smart factories can integrate data from system-wide physical, operational, and human assets to drive manufacturing, maintenance, inventory tracking, digitisation of operations, and other activities across the entire manufacturing network.

Business Case Development

56% of CEOs say digital improvements have increased revenue. Organisations need leaders who can successfully manage digital transformation. This module teaches you about how to build a business case, use the business model canvas, manage projects, assess risks & solutions, and successfully implement change in organisations.

Quality Management in a Digital Age

In manufacturing and life sciences, it is critical to ensure products are made to the highest quality. This module teaches you how to leverage/process analytical technologies and data, quality by design (QBD), quality metrics and regulatory guidance.

Big Data Acquisition and Management

Organisations are collecting more and more data every day, but they struggle to manage and use it effectively. This module will teach you about different data types and how data can be stored and shared throughout organisations.

Business Strategy and Change Management

Successful digital transformation requires more than leading technology. This module will teach you about how digital transformation can help organisations to achieve their long-term strategies, how many industries are evolving using technology and how implementing digital transformation can be a process with known best practices.

Operational Excellence - Lean Sigma 4.0

As organisations grow, they must remain low-cost and efficient to survive. This module teaches you how organisations can use lean thinking, six sigma and industry 4.0 to eliminate waste and non-value-adding activities, improve efficiency, and leverage real-time data.

Analysis of Big Data

Organisations are collecting more and more data, but they struggle to use it effectively. This module will teach you how to analyse data, which helps managers make better decisions. You will learn about the different types of analytics and software tools available for analysing data.

Research Methods

Whether you are conducting research for your employer, clients or your dissertation in college, you must know how to conduct a research plan. This module will teach you how to build a research plan, gather information, analyse data, and present your findings in a highly professional manner.

Visualisation and Storytelling with Data

In addition to learning how to capture and analyse data, you must also learn how to use it when communicating with your employer or clients. This module will teach you how to use data to create compelling reports, presentations, and stories that communicate your message effectively.

Entry Requirements

This course is suitable for those who possess qualifications at NFQ Level 8 Honours degree with a 2.2 or higher in a Science, Manufacturing, Quality, Computation, Engineering or a related discipline. Recognition of Prior Learning will also be taken into account.

English Language

Griffith College accepts the online Duolingo English Test (DET) as valid proof of English proficiency.

Tuition Fees

Irish/EU citizens, living in Ireland

Study Mode: Full-Time Dublin: EUR 6,450.00

Irish/EU citizens, living abroad

Study Mode: Full-Time Please refer to the Irish/EU Living Abroad Fees section.

International

Study Mode: Full-Time Dublin: EUR 6,450.00 Non-EU living in Ireland or abroad: Please refer to our Non-EU Tuition Fees section.

Progression

Academic Progression

Options will depend on the academic requirements and the career choice of the learner.

Career Progression

This program provides highly sought-after skills in advanced manufacturing, business, and data analytics. Depending on experience, graduates can secure employment in a wide range of sectors, including life science, automation, manufacturing, IT/big tech, consulting, project management, regulation, and engineering etc.

Typical roles include:

• Digital Transformation/Automation/Process Analytical Technology (PAT)
• Process Digitisation/Digitalisation
• Data Architecture & Analytics, Business Intelligence
• Consulting/Business Strategy
• Project/Program Management
• Operations – Managers/Supervisors/Process/Engineers
• Design Engineering/New Product Introduction/Product Programme Manager
• Regulatory Affairs/Compliance
• Medical Vigilance/Surveillance and Risk Management
• Process Business Improvement Specialists/Managers
• Quality Assurance Specialist/Manager

Program Outline

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Outline:

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Course Modules:

• Advanced Manufacturing in the Smart Factory: 10 ECTS credits, focusing on topics like smart factories, life science manufacturing, Industry 4.0, Pharma 4.0, Digital transformation, emerging technologies.
• Business Case Development: 5 ECTS credits, covering business case development, business model canvas, risk analysis, solution selection, and project management.
• Quality Management in a Digital Age: 5 ECTS credits, focusing on future definitions of quality, lifecycle approaches to pharma and medical devices, quality by design (QBD), quality metrics, regulatory guidance on quality.
• Business Strategy and Change Management: 5 ECTS credits, focusing on current challenges of the pharmaceutical industry, strategic thinking for biopharma, leading change in biopharma, maturity matrix, culture of innovation, corporate governance and business ethics.
• Operational Excellence - Lean Sigma 4.0: 5 ECTS credits, covering origins of operational excellence, operational excellence implementation models, Lean Sigma implementation, Design for Six Sigma, Science of Innovation, TRIZ, key performance indicators, quality function deployment.
• Analysis of Big Data: 10 ECTS credits, focusing on big data analysis, descriptive analytics, diagnostic analytics, predictive analytics, prescriptive analytics, and analytical applications.
• Research Methods: 5 ECTS credits, covering the research process, literature review, research questions and hypotheses, ethical & GDPR considerations, quantitative and qualitative methods, project management.

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Careers:

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Potential roles for graduates:

• Digital transformation
• Advanced manufacturing
• Process analytical technologies
• Process digitisation and digitalisation
• Regulatory affairs and compliance
• Data architecture and analytics
• Operational excellence

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Other:

The course fit in with my work schedule at the time.

• Padraig Walsh, Innopharma Education Graduate

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For purposes of fee calculation, residence is counted from time of application. Tuition Fees Irish/EU citizens, living in Ireland Irish/EU citizens, living in Ireland Study Mode: Full-TimeDublin: EUR 6,450.00 Irish/Eu citizens, living abroad Irish/Eu citizens, living abroad Study Mode: Full-TimePlease refer to the Irish/EU Living Abroad Fees section. International International Study Mode: Full-TimeDublin Non-EU living in Ireland or abroad: Please refer to our Non-EU Tuition Fees section.Non-EU students: a Student Services and Administration fee of EUR200 is payable each academic year in addition to the fees quoted below. An Academic Administration Fee of EUR250.00 and a 2% Learner Protection Charge is applicable each academic year in addition to the fees quoted. The fees relate to Year 1 fees only.