Operational Excellence & Sustainability in Supply Chain
This programme will provide learners with knowledge of some of the core elements of process digitalisation, which include Data Analytics. The curriculum develops learners’ understanding of the impact of automation and process control for manufacturing systems and processes. Learners will develop data management skills to include an evaluation of the relational model and NoSQL data models, and how to query and manipulate data stored using these models.
| Award Name | Minor Certificate (Level 7 NFQ) |
|---|---|
| NFQ Classification | Minor |
| Awarding Body | QQI |
| NFQ Level | Level 7 NFQ |
| Award Name | NFQ Classification | Awarding Body | NFQ Level |
|---|---|---|---|
| Minor Certificate (Level 7 NFQ) | Minor | QQI | Level 7 NFQ |
Duration
8 months
Developed and taught by experienced academics and industry lecturers, this course is delivered through blended learning, 2 evenings per week online and up to 2 Saturdays per month in person.
Entry Requirements
Applicants are required to hold a minimum of a QQI Level 6 Certificate (120 credits) in Science, Engineering, Quality or related discipline.
Careers / Further progression
CAREER OPTIONS
Over 70% of Innopharma Education graduates have successfully advanced their careers post-completion of our courses. Potential career opportunities following the successful completion of this course are highlighted below:
Junior Production / Lean Engineer
Shift Manager.
Training Lead
Process Data Analyst (Digital Transformation)
Automation Team Lead
Process Engineer
Continuous Improvement/ Lean Engineer
Utilities Engineer
Change Management Specialist
Digital Engineering and Projects Lead
An essential part of the course will be the career progression module where significant support will be given to participants on career development through structured one-on-one CV assistance, interviewing support and developing career networks. regular guest speakers and lecturers from the industry will assist graduates in making links with the industry.
Further information
NEXT INTAKE Oct 2023
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
This programme will provide learners with knowledge of some of the core elements of process digitalisation, which include Data Analytics. The curriculum develops learners’ understanding of the impact of automation and process control for manufacturing systems and processes. Learners will develop data management skills to include an evaluation of the relational model and NoSQL data models, and how to query and manipulate data stored using these models. Students will learn how these data models are used in the distribution of data and the emerging "Big Data" paradigm along with ethical considerations surrounding data. Learners’ capacity to contribute effectively to the workplace will therefore be enhanced, as they will develop the underlying competencies needed to apply methods and techniques that support the improvement of processes and services and develop an understanding of the fundamental concepts of sustainability and an appreciation of the ethical implications for business and society.
Graduates will also be able to continue seamlessly to the Bachelor of Science in Process Digitalisation (a 60 ECTS programme). Upon completion of the Bachelor's degree, learners will have acquired the foundational knowledge, skills and competencies that will enable them to progress to further studies in the areas of digitalisation and digital transformation if desired.
This course will cover the following modules.
Module 1: The Future of Manufacturing & the 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.
*Subject to being validated by QQI*
Accreditation: QQI Level 7 Certificate in Operational Excellence and Sustainability in Supply Chain (Minor Award – 30 ECTS) - Subject to Validation.