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  • Location

    Dublin

  • Duration

    19 Months

  • Level

    Masters / Postgraduate

  • Next Intake

    Feb 2022

Course Overview

This programme focuses on enhancing students’ knowledge, skills and competencies associated with the concepts of digital transformation and the evolution of the smart factory in the life science sector. 

Designed and developed in conjunction with Microsoft, students will research the current and future trends in life science manufacturing; the application and impact of greater use of technology, data analysis and visualisation on current performance; the impact on organisations and their levels of maturity to complete such transformations as well as ethical and corporate social responsibilities associated with such changes. 

Modules include:

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

Click 'Course Outline' above for full module description

On completion of this programme, graduates will have the opportunity to progress their career within life science organisations that are transforming their processes and leading the digital transformation movement to integrate data, new technologies, data analytics, improved ways of working and improved support processes.  

Click 'Career Path' above for a list of potential roles within the Life Sciences industry 

This Postgraduate Diploma is suited to those from a science, manufacturing, quality, computation, engineering or a related discipline who wish to gain the skills and competencies associated with the concepts of industry 4.0 digital transformation and the evolution of the smart factory in the life science sector. 

What does Industry 4.0 mean to people & skills?

This course is flexibly designed to suit the needs of those in employment. Lectures are a blend of online, distance and 2 Saturdays per month in Dublin. This unique new course is delivered by industry professionals ensuring you receive the most up-to-date and relevant skills to help you advance your career in the life sciences sector. 

With extensive input and participation from the pharmaceutical and medical device sectors, this course is ideal for those involved in manufacturing, compliance, business improvement, quality assurance, data analytics and engineering.

All classes are broadcast live using an online training platform, offering the learners the opportunity to either physically attend or join the class online. All classes are recorded also allowing learners the opportunity to view later and support revision. Students are required to attend the campus on two Saturdays a month (subject to COVID-19 restrictions).

Accreditation: QQI MSc in Digital Transformation (Life Sciences)

Awarding body: Griffith College Dublin 

Next Intake: February 2022

Designed and developed in conjunction with Microsoft

 

 

Microsoft_logo - no background

Digital Transformation Masters 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

Dissertation selection; literature review; dissertation hypothesis; primary research methodologies; findings and analysis; discussions and recommendations; viva presentation.

530A7314 (2)

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 to Prior learning will also be taken into account.


QQI Levels Explained

 

Career Options

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
  • Advanced Manufacturing
  • Process Analytical Technologies
  • Process Digitisation / Digitalisation
  • Operational Excellence 
  • Regulatory Affairs / Compliance
  • Business Strateg

Apply Now

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

Please note at any time if you have any questions please do not hesitate to contact us by email on admissions@innopharmalabs.com or call us (01) 485 334

 

Why up-skill for the STEM Process Manufacturing  Sectors in Ireland? 

Pharmaceutical  
Pharma 

Testimonials

Testimonials

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All the lecturers from Innopharma Education have vast industry experience. They have proficient knowledge in all the modules that they teach, and they are very helpful and friendly as well.  

MSc in Pharmaceutical Business & Technology Graduate, Sumukh Venkatesh


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