MSc in Digital Transformation (Life Science)

Type
Postgraduate
Duration
One Year Full-Time
Validated by
QQI
Mode
Full-Time
Campus
Dublin
NFQ Level
9
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Course Overview

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.

Why study Digital Transformation at Griffith College?

  • 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

Intake Dates

We run two intakes for this course commencing in Autumn and Spring.

The next intake is:

  • September*

*subject to sufficient numbers

What our students say

Padraig Walsh

“I found the delivery of the programme and the lecturers to be incredibly accommodating. The course fit in with my work schedule at the time. I had the opportunity to study in the evenings or if I missed a lecture I could always go back and replay it, so I never felt like I was missing out on anything."

Padraig Walsh
Innopharma Education Graduate

Course Details

Course Modules

ECTS Credits: 10

  • Smart factory
  • Life science manufacturing
  • Industry 4.0
  • Pharma 4.0
  • Digital transformation
  • Emerging technologies

ECTS Credits: 5

  • Business case development
  • Business model canvas
  • Risk analysis
  • Solution selection
  • Project management
  • Change management and communications strategies

ECTS Credits: 5

  • Future definition of quality
  • Lifecycle approach to pharma and medical device
  • Quality by design (QBD)
  • Quality metrics
  • Regulatory guidance on quality

ECTS Credits: 10

  • 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

 

ECTS Credits: 5 

  • Current challenges of the pharmaceutical industry
  • Strategic thinking in the biopharma industry
  • Leading change in the biopharma industry
  • Maturity matrix
  • Culture of innovation
  • Corporate governance and business ethics

ECTS Credits: 5 

  • Origins of operational excellence
  • Operational excellence implementation models
  • Lean sigma implementation
  • Design for six sigma
  • Science of innovation
  • TRIZ
  • Key performance indicators
  • Quality function deployment

ECTS Credits: 10

  • Big data analysis
  • Descriptive analytics
  • Diagnostic analytics
  • Predictive analytics
  • Prescriptive analytics
  • Analytical applications

ECTS CREDITS: 5

  • Research process
  • Literature review
  • Research questions and hypotheses
  • Ethical & GDPR considerations
  • Quantitative and qualitative methods
  • Project management

ECTS Credits: 5 

  • Learners are equipped to effectively use computer-based data visualisation techniques and strategies to communicate information, encompassing critical analysis and evaluation of data, construction of datasets, presenting complex data in order to provide clear, effective, and engaging graphical information representations.

ECTS Credits: 30

  • Dissertation selection
  • Literature review
  • Dissertation hypothesis
  • Primary research methodologies
  • Findings and analysis
  • Discussions and recommendations
  • Viva presentation

How to Apply

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.

English Language

In response to the worldwide closure of English Language Test Centres arising from the Covid-19 pandemic, Griffith College is accepting the online Duolingo English Test (DET) as valid proof of English proficiency. This is a temporary measure for our intakes up to and including September 2022. Please see here for further details.

How to Apply

Please apply online directly to Griffith College.

Fees

For purposes of fee calculation, residence is counted from time of application.

Tuition Fees

General Fee Information 

An Academic Administration Fee of EUR250.00 and a 2% Learner Protection Charge is applicable each academic year in addition to the fees quoted below. The fees below relate to Year 1 fees only.

Study Mode: Full-Time

Dublin 

EUR 8,450.00

General Fee Information 

An Academic Administration Fee of EUR250.00 and a 2% Learner Protection Charge is applicable each academic year in addition to the fees quoted below.

Non-EU students: a Student Services and Administration fee of EUR200 is payable each academic year in addition to the fees quoted below.

Study Mode: Full-Time

Dublin 

Non-EU living in Ireland or abroad: Please refer to our Non-EU Tuition Fees section.

Progression

Academic Progression

Options will depend on the academic requirements and the career choice of the learner.

Career Progression

Potential roles for graduates of this course include:

  • Digital Transformation 
  • Advanced Manufacturing 
  • Process Analytical Technologies 
  • Process Digitisation / Digitalisation 
  • Regulatory Affairs / Compliance 
  • Data Architecture & Analytics 
  • Operational Excellence