Process Digitalisation

Next Intake: October 2023. Now accepting applications.

LOCATION

Dublin Cork Limerick

HCI Pillar 1 is co-funded by the Government of Ireland and the European Social Fund as part of the ESF Programme for employability, inclusion and learning 2014-2023

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 on admissions@innopharmalabs.com or call us (01) 485 334

*Subject to being validated by QQI*

The fastest-growing roles across many industries are driven by technology, digitalisation and sustainability. This increased adoption of new and frontier technologies drives the need for advanced skill sets, including specialist roles such as Business / Data Intelligence Analysts, Automation / Sustainability Specialists and Operational Excellence Professionals.

As well as completing modules in the future of manufacturing and supply chain, management of data and the concepts of validation and concepts of quality assurance, learners will understand the growing trends and compliance relating to sustainability. Additional modules will support the learner further in employment by completing modules in operational excellence, industrial automation and process control along with data analytics and data-driven project management.

Graduates will possess the skills and competencies necessary to implement digitalised processes, an area where a critical skills shortage is emerging nationally. The curriculum is designed to produce graduates capable of digitalising a process to drive improvements in their business/manufacturing or manufacturing operations while applying their knowledge of the ethics and principles of sustainability to their work.

COURSE OUTLINE

This course is completed over three semesters and is delivered two evenings per week online and two Saturdays per month in class.

This course will cover the following modules.

Module 1: The Future of Manufacturing and Supply Chain

Explore sustainable practices, evaluate supply chain impacts, and apply climate intelligence for risk monitoring.

Module 2: Progressing towards a sustainable industry

Discover sustainability concepts, including circular economy, supply chains, and digitalization, for practical application in professional careers.

Module 3: Operational Excellence in a Digital Environment

Explore traditional and updated operational excellence models in the context of digital transformation.

Module 4: Validation and the Concepts of Quality Assurance

Understand validation processes, quality management, regulatory requirements, and the role of digitalization in improving industry standards.

Module 5: The Management of Data

Learn about database management systems, relational and NoSQL data models, data manipulation, distribution, ethics, and EU legislation.

Module 6:Data-Driven Project Management

Learn data-driven project management, agile methodologies, and data visualization for effective communication and project planning.

Module 7: Industrial automation and process control

Gain skills in automation, digitalization, and process control, covering architecture, measurement, analysis, and control methods.

Module 8: The Analysis of Data

Introduction to data analysis, tools, and statistical techniques for effective decision-making in the era of big data.

*Subject to being validated by QQI*

Accreditation: QQI Level 7 Bachelor of Science in Process Digitalisation