- Overview
- Course outline
- Entry
- Career path
- How to apply
Course Overview
The aim of this course is to equip learners with the up-to-date knowledge and skills required to navigate the impact of digitisation on business environments.
Focusing on the key business areas of the management of data, the analysis of data, industrial automation and process control and data driven project management, the programme will provide learners with knowledge of the core elements of process digitalisation, which include Data Analytics. The impact of automation and process control for manufacturing systems and processes. Develop data management skills and the importance of these data models in the distribution of data and the emerging “Big Data” paradigm along with ethical considerations surrounding data.
Developed and taught by experienced academics and industry lecturers, this course is delivered through blended learning, 2 evenings per week online and 1-2 Saturdays per month with a mix of online and in-person.
Accreditation: QQI Level 7 Certificate in Automation and Data Analysis for Process Control (Minor Award – 30 ECTS).
Next Intake: February 2025. Now accepting applications.
Course Outline
This part-time programme runs over 2 semesters. Lectures are delivered online 2 evenings per week plus 1-2 Saturdays per month in a face to face classroom.
This course will cover the following modules.
Module 1: The Management of Data
Gain an understanding of the principles and techniques behind the management and analysis of Big Data, as well as the best practices for managing and maintaining large data sets.
Module 2: Industrial Automation and Process Control
Understand how to evaluate the potential for and benefits of digitalisation and automation through architecture and hierarchy of automation in manufacturing.
Module 3: Data Driven Project Management
Develop skills and knowledge necessary to succeed in the modern workplace by focusing on Data-Driven Project Management by combining theoretical knowledge with practical applications through the use of agile and scrum methodologies.
Module 4: The Analysis of Data
Discover a variety of fundamental ways of analysing data along with a variety of tools and basic statistical techniques to prepare for the exponential growth of big data in industry.
Entry Requirements
Applicants are required to hold a minimum of a QQI Level 6 Certificate (120 credits) in Science, Engineering, Quality or a related discipline. Recognition of Prior Learning is also considered for applicants who do not meet the minimum entry requirements.
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:
This course was designed with a large range of industries in mind. Graduates can expect employment across a number of sectors in roles such as:
- Production Operator
- Validation Specialist
- Documentation Specialist
- Procurement and Purchasing
- Validation Support
- Environmental Monitoring
- Training Coordinator
- Communications and Public Relations
- Sustainability Coordinator
- Data Collection and Integration
- Data Analysis and Reporting
- Process Optimisation
- Predictive Analytics
- Supply Chain Management
- Compliance Monitoring
- Data Scientist/Analyst
- Automation Specialist
- IoT (Internet of Things) Specialist
- User Experience (UX) Designer
- Business Process Analyst
- Project Coordinator
- Validation Project 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.
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
Why up-skill for the STEM process manufacturing sectors in Ireland?
- Over 130,000 employed within these industries
- Over 40,000 new jobs predicted
- Over €62 billion in exports
- 9 of top 10 world’s biopharma companies in Ireland
- 8 of the top 10 worlds medtech companies in Ireland
- Over 8,000 new jobs predicted
Testimonials
The course had online lectures so anytime I couldn’t go to college I could join the class online. I never missed a class.
BA in Pharmaceutical Business Operations Graduate, Joanna Galon, Senior Associate Regulatory Affairs at Amgen
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