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Msc in Digital Transformation (Life Science)

Griffith College, Ireland
Msc in Digital Transformation (Life Science)
Next enrollment cycle September 2024 See all cycles
Total Cost KES 2,704,050
Course Accredited By HECA
1 Years On Campus Postgraduate Degree Up to 23% scholarship

Campus: Dublin Main Campus The programme focuses on enhancing learners’ knowledge, skills and competencies associated with the concepts of the smart factory. Students will also learn more about the evolution of life science manufacturing from a traditional reactive process to the emergence of Industry 4.0 and Pharma 4.0.

  • Gain knowledge and insight to develop and implement a digital transformation strategy for your organisation
  • Explore the technology that is driving the digital transformation and understand what it means for an organisation
  • Harness the power of disruptive technologies to improve operational excellence and increase business value
  • Analyse the impact of digital transformation on organisational structure and critical skills and competencies

Course Highlights

  • Experienced academic and industry lecturers
  • Designed and developed in conjunction with Microsoft
  • Minimise disruption to your schedule with blended learning solutions
  • Gain expertise in process digitisation, digitalisation, data management, data analytics and data visualisation
  • Upskill for the thriving Irish life sciences industry

Enrollment Cycles

  • September 2024
  • February 2025

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.

Course Modules

  • Advanced Manufacturing in the Smart Factory
  • Business Case Development
  • Quality Management in a Digital Age
  • Big Data Acquisition and Management
  • Strategy and Change Management
  • Operational Excellence - Lean Sigma 4.0
  • Analysis of Big Data
  • Research Methods
  • Visualisation and Storytelling with Data
  • Dissertation

Interested in this course?

Our Admissions Counsellors would love to assist!