Digital Transformation Course Outline
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.
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 Ager
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
literature review; dissertation
hypothesis; primary research
and analysis; discussions
and recommendations; viva