Griffith College
Griffith College

MSc in Digital Transformation (Life Science)

Griffith College, Ireland

Course Overview

The program aims to improve students' understanding, abilities, and proficiencies related to smart factory concepts. Additionally, participants will gain insights into the transformation of life science manufacturing, progressing from conventional reactive methods to the advent of Industry 4.0 and Pharma 4.0. Innopharma collaborates in delivering this program.

Course Type
PG
Course Nature
Full Time
Course Duration
1 Year
Total Fee
€16500
Intake
February 2024 , September 2024
Language Proficiency

Under graduation : 60%
IELTS : 6.5  or 
Duolingo : 115

Documents Required
  • 10TH
  • 12TH
  • DEGREE
  • DEGREE PROVISSIONAL CERTIFICATE
  • Degree Consolidated Marksheet
  • Degree Individual Marksheet
  • PASSPORT
  • CV
  • IELTS
  • SOP
  • EXPERIANCE CERTIFICATES
University
Griffith College
University Details

Griffith College is among the largest colleges in Ireland, which was founded in 1974. The core faculties and schools of Griffith College include the Faculty of Business, Faculty of Journalism & Media Communications, Faculty of Computing, Griffith Institute of Language, Faculty of Counselling & Psychotherapy, Faculty of Design, Graduate Business School, Faculty of Engineering, Faculty of Professional Accountancy, Faculty of Law, Faculty of Music & Multimedia, Faculty of Pharmaceutical Science, Faculty of Professional Law, Faculty of Teaching and Learning, Faculty of Lifelong Learning and The Leinster School of Music & Drama.

Syllabus

1. Advanced Manufacturing in the Smart Factory

  • Description: Examination of advanced manufacturing techniques within smart factories, including automation, IoT integration, and the use of digital twins to enhance production efficiency.

2. Business Case Development

  • Description: Methods for creating compelling business cases, covering financial analysis, risk assessment, strategic alignment, and effective presentation.

3. Quality Management in a Digital Age

  • Description: Modern quality management practices leveraging digital technologies, including data-driven quality assurance, digital tools, and methodologies.

4. Big Data Acquisition and Management

  • Description: Strategies and technologies for acquiring, managing, and governing large datasets, focusing on data sources, storage solutions, and management practices.

5. Business Strategy and Change Management

  • Description: Concepts and techniques for developing business strategies and managing organizational change, emphasizing strategic planning, implementation, and adaptation.

6. Operational Excellence - Lean Sigma 4.0

  • Description: Application of Lean and Six Sigma methodologies in the context of Industry 4.0, focusing on process optimization, continuous improvement, and operational efficiency.

7. Analysis of Big Data

  • Description: Techniques for analyzing large datasets to derive actionable insights, including statistical methods, machine learning, and data mining techniques.

8. Research Methods

  • Description: Overview of research methodologies, including qualitative and quantitative approaches, data collection techniques, and analysis methods.

9. Visualisation and Storytelling with Data

  • Description: Techniques for effectively visualizing data and crafting narratives to communicate insights and findings clearly and compellingly.

10. Dissertation

  • Description: An independent research project on a selected topic related to the course content, culminating in a written dissertation that demonstrates research skills, critical thinking, and in-depth knowledge.

Assessment Methods

  • Assignments: Regular tasks to apply and practice theoretical concepts and practical skills.
  • Projects: Individual and group projects to address real-world challenges and develop solutions.
  • Exams: Midterm and final exams to evaluate understanding of core subjects.
  • Presentations: Oral presentations to enhance communication and storytelling abilities.
  • Dissertation: A comprehensive research project that integrates knowledge from various modules, assessed through a written report and possibly an oral defense.

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