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  • Location

    Dublin

  • Duration

    9 Months

  • Level

    Masters / Postgraduate

  • Next Intake

    Sep 2022

Course overview

This new programme combines new technologies, data and improved ways of working to enhance your knowledge and skills associated with the concepts of digital transformation and the evolution of the smart factory in life science manufacturing.

This programme provides a broad scientific knowledge of the pharmaceutical and medical device industries, and the requirements to implement the concepts of Industry 4.0. 

Students will also understand the concepts and techniques to identify, acquire, manage and analyse data as it relates to the digitalisation of manufacturing in these industries. This programme also outlines scientific, techniques to optimise performance, minimise risk and achieve compliance as well as research the optimum organisational structures to support competitive advantage. 

 With its unique online part-time delivery, this course is flexibly designed to suit the needs of those in employment. Classes are broadcast online, offering the learners the opportunity to join from home. Students are required to attend on-campus 2 Saturdays per month.

Designed and delivered by highly experienced academics and industry professionals, we have developed the course content focusing on the skills companies are looking for and to advance your career. Accredited by Griffith College Dublin.

Accreditation: NFQ Level 9 Certificate in Advanced Manufacturing Strategy (Life Science). 

Awarding body: Griffith College Dublin

Next Intake: September 2022

Continue to the Course Outline section for module information

Student

Course Outline

Students can access lectures online or at class two evenings a week with workshops taking place two Saturday's a month in Griffith College Dublin. (ECTS: 30 Credits)

Module 1: Advanced Manufacturing in the Smart Factory 

Researches the concepts of the Smart Factory and investigates the evolution of life science manufacturing from a traditional reactive process to the emergence of Industry 4.0 and Pharma 4.0. It investigates how a truly smart factory can integrate data from system-wide physical, operational, maintenance, inventory tracking, digitisation of operations and other types of activities across the entire manufacturing network. 

Module 2: Business Case Development 

Investigates the concepts of business case development specifically as it relates to the life science industries. It explores the supply chain, real-time performance feedback, leveraging data, business model canvas and its elements as well as principles of project and portfolio management.

Module 3: Quality Management in a Digital Age 

Explores the impact of advances in technology on the perception of quality and the implications on systems and processes. Today, with the huge availability of data, quality systems should look to use the advances in technology to better understand process performance, implement better control strategies and design quality into products and processes rather than an overreliance on end-of-line testing to determine batch disposition. 

Module 4: Operational Excellence - Lean Sigma 4.0

Researches the origins of operational excellence, lean thinking, six sigma and industry 4.0, and explores how this integration of models can deliver the next advancements in process improvement.

Module 5: Business Strategy and Change Management 

Examines the factors which are driving strategic change in the life science sector and the implications for the individuals and teams tasked with planning and leading that change. It also covers leadership styles, culture, innovation and performance. 

 

 

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, Engineering or Quality discipline.

 


QQI Levels Explained

 

Career Options

This highly desired qualification will help you open the door to an exciting and successful career in the life sciences industry. This unique programme will prepare you for the change caused by advancements in technology.

  • Digital Transformation/ automation/ PAT deployment  
  • Project/ Programme Management  
  • Operations Roles - Managers, Supervisors, Process Engineers
  • Business intelligence/ Data Analysis
  • Process Business Improvement Specialists

 

 

Apply Now

Our admissions team are on hand to assist you with your application and answer any questions you may have about 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 at admissions@innopharmalabs.com or call us at (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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