Digital Transformation - Life Science
QQI MSc in Digital Transformation (Life Sciences)
Digital Transformation is the smart integration of technologies, processes and data to improve operational effectiveness and capability.
Gain the skills to be at the forefront of the evolution of manufacturing.
Designed and developed in conjunction with Microsoft, this programme will explore the technology that is driving the digital transformation and understand what it means for an organisation. Gain expertise in process digitalisation, data management, data analytics and data visualisation. Harness the power of disruptive technologies to improve operational excellence and increase business value. Analyse the impact of digital transformation on organisational structure and the critical skills and competencies required for future career success.
Module 1: Advanced Manufacturing in the Smart Factory
Smart Factory; Life Science Manufacturing; Industry 4.0; Pharma 4.0; Digital Transformation; Emerging Technologies.
Module 2: Business Case Development
Business Case Development; Business Model Canvas; Risk Analysis; Solution Selection; Project Management; Change Management and Communications Strategies.
Module 3: Quality Management in a Digital Age
Future definition of quality; lifecycle approach to pharma and medical device; quality by design (QBD); quality metrics; regulatory guidance on quality.
Module 4: Big Data Acquisition and Management
Types of data; data sources; data pipeline models; OLTP; ETL; ELT; data acquisition; business intelligence; data processing and preparation; data warehousing; hybrid architectures; LIMS; ERP; MES and data serving.
Module 5: Strategy and Change Management
Current challenges of the pharmaceutical industry, strategic thinking in the biopharmaceutical industry, leading change in the biopharmaceutical industry, culture of innovation, corporate governance and business ethics.
Module 6: Operational Excellence- Lean Sigma 4.0
Origins of operational excellence, operational excellence implementation models, lean sigma implementation, design of six sigma, science of innovation, TRIZ, key performance indicators (KPI), quality function deployment.
Module 7: Analysis of Big Data
Big data analysis; descriptive analytics; diagnostic analytics; predictive analytics; prescriptive analytics; analytical application.
Module 8: Data Visualisation and Storytelling
Storytelling through visualisation; techniques and applications; case studies.
Module 9: Research Methods
Research process; literature review; research questions and hypotheses; ethical & GDPR considerations; quantitative and qualitative methods; project management
Module 10 Dissertation
Dissertation selection; literature review; dissertation hypothesis; primary research methodologies; findings and analysis; discussions and recommendations; viva presentation.
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 to Prior learning will also be taken into account.
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 or HCI 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
Students can access lectures online two evenings a week with workshops taking place on two Saturdays per month in Griffith College Dublin & Griffith College Cork. (ECTS: 90 Credits)
Learners have the option to complete the course as a Post-Graduate Diploma (60 credits) after 12 months or continue for a further 7 months to gain a full Masters (90 credits) by completing a dissertation.
A full-time option is available for International Students
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This highly desired digital transformation qualification will help you open the door to an exciting and successful career in the life sciences industries. This unique masters' qualification could help kick-start your career progression as an executive, manager or director in the following specialities:
• Digital transformation / automation / PAT deployment
• Project/Program Management
• Operations roles – managers / supervisors / process engineers
• Business intelligence / data analysis / data analytics
• Design engineering / new product introduction / product programme manager
• Regulatory affairs / compliance specialist
• Medical vigilance / surveillance and risk management
• Process business improvement specialists / managers
• Quality assurance specialist / manager