MSc in Digital Transformation (Life Science)
Course 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.
This programme is delivered in partnership with Innopharma.
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
This course can be seen as three dedicated skills streams:
- Advanced Manufacturing: Learn about best practices and technologies used in advanced manufacturing and quality management.
- Leveraging Data: Learn how to acquire, store, manage, analyse and leverage data.
- Business & Strategy: Learn about the strategy and operational opportunities of digital transformation.
This programme was created by industry leaders and is delivered in partnership with Innopharma.
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 - Full-Time - February 2025
- Dublin - Blended - February 2025
- Dublin - Full-Time - September 2025
What our students say
“I found the delivery of the programme and the lecturers to be incredibly accommodating. The course fit in with my work schedule at the time. I had the opportunity to study in the evenings or if I missed a lecture I could always go back and replay it, so I never felt like I was missing out on anything."
Innopharma Education Graduate
Course Details
Course Modules
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.
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.
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.
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.
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.
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.
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.
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.
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.
The final dissertation is the culmination of many master’s programs. It allows you to select an area that interests you and conduct deep research into it. This could be something you previously studied, something you want to build your career around, or a new and emerging area that will revolutionise the industry - the choice is yours. We will support you with ongoing guidance/workshops and appoint you with an industry supervisor.
Timetables
Classes are delivered on the beautiful Griffith College Dublin campus, close to Dublin city centre, public transport, and other amenities. Lectures are held each weekday from approximately 9:30 am – 4:30 pm, with time for lunch. This includes some on-campus delivery and some online activities for students to perform themselves. The full timetable will be shared with students when enrolled.
How to Apply
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 is accepting the online Duolingo English Test (DET) as valid proof of English proficiency. For more information, please visit here.
How to Apply
Please apply online directly to Griffith College.
Fees
For purposes of fee calculation, residence is counted from time of application.
Please note that not all study modes may be offered at all times; for confirmation, refer to the Intake dates on the Overview tab.
Tuition Fees
Study Mode: Full-Time
Dublin: EUR 8,450.00
Study Mode: Full-Time
Dublin
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.
General Fee Information
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.
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