Courses
Advanced Data Analytics for Biopharmaceutical Manufacturing
Certificate
Course Details
| Course Code | SG_SNBMD_S09 |
|---|---|
| Level | 9 |
| Duration | 1 semester |
| Credits | 5 |
| Method of Delivery | Online |
| Campus Locations | Sligo |
| Mode of Delivery | Part Time |
Course Overview
This programme is designed to equip students with the knowledge and skills necessary to process, analyse and collaborate on biomanufacturing data and derive actionable insights for GxP operation.
This blended course of three days of theory and NIBRT onsite practicals combines theoretical sessions with hands-on practical training. This course introduces advanced statistical principles applied to the biopharmaceutical manufacturing industry. Designed for students with limited prior exposure to the concepts of statistics and probability, this comprehensive course aims to equip participants with skills to enable bioprocess development and manufacturing through a data-driven strategy.
Practical, hands-on sessions on bioprocess case studies are incorporated in this module to reflect the end-to-end workflow from development to commercial manufacturing. A small amount of coding (2-3 lines) in the R language is required, which will be guided by the lecturer. Students will be provided with laptops with these software packages preloaded for the onsite sessions.
NIBRT Global Qualification (NGQ)
The NIBRT Global Qualifications (NGQs) are internationally recognised training qualifications setting a new benchmark for biopharmaceutical education and workforce development.
Earn your NGQ by completing a micro-credential accredited by ATU – a short, flexible and accredited way to upskill and advance your biopharma career.
Step 1 – Complete an upstream practical training course at the NIBRT facility or at an affiliated NIBRT Global Partner site.
The upstream practical training module provides students with a fundamental understanding of both the theoretical and practical aspects of cell culture processing as it relates to the manufacture of modern biopharmaceutical products.
Step 2 – Register for the corresponding NGQ below for €500. To earn the qualification, you will complete a multiple-choice quiz, a 2,000-word lab report, and a 1,500-word reflective assessment. Upon successful completion, you will receive your accredited NGQ certificate (5 ECTS). NGQs are stackable, leading to a Special Purpose Award (30 ECTS).
Fee Payment: €500 fee is paid directly to NIBRT via a payment link that will be sent post registration. If you have received a funding subsidy, you will be sent a payment link for the adjusted amount owed.
Course Details
Year 1
| Semester | Module Details | Credits | Mandatory / Elective |
|---|---|---|---|
| 1 |
Advanced Data Analytics for Biopharmaceutical ManufacturingThis module is designed to equip students with the knowledge and skills necessary to process, analyse and collaborate on biomanufacturing data and derive actionable insights for GxP operation. This blended course of 3 days of theory and NIBRT onsite practicals combines theoretical sessions with hands-on practical training. This course introduces advanced statistical principles applied to the biopharmaceutical manufacturing industry. Designed for students with limited prior exposure to the concepts of statistics and probability, this comprehensive course aims to equip participants with skills to enable bioprocess development and manufacturing through a data-driven strategy. Practical, hands-on sessions on bioprocess case studies are incorporated in this module to reflect the end-to-end workflow from development to commercial manufacturing. A small amount of coding (2-3 lines) in the R language is required, which will be guided by the lecturer. Students will be provided with laptops with these software packages preloaded for the onsite sessions. Learning Outcomes 1. Evaluate and implement linear and non-linear regression techniques to model, interpret, and optimise complex bioprocessing systems. |
05 | Mandatory |
Recommended Study Hours per week
Examination and Assessment
Lab Report: 40%
Reflective Report on Learning Applied to own employment (1500 words): 30%
On-Campus Attendance Requirement
facilities in Dublin. This represents week one. A time limit of 12 months is applied from NIBRT mandatory
attendance until completion of additional learning online via ATU for the Special Purpose Award. Students can
access this SPA any time in either semester 1 or semester 2 and the results will be brought to the next
available exam board.
Progression
Student could progress by completing another Special Purpose Award or Level 9 major award in a related area.
Download a prospectus
Entry Requirements
To be eligible, applicants must have completed the Mandatory Practical attendance for this module with NIBRT within the previous 12 months.
Fees
Total Fees EU: €500
€500 fee is paid directly to NIBRT via a payment link that will be sent post registration. If you have received a funding subsidy, you will be sent a payment link for the adjusted amount owed.
Further information on feesCareers
Operators, Technical Staff, New hires, Jobseekers, Sales staff and Managers and industry employees wishing to enhance their employment opportunities by increasing their understanding of data analytics who complete this programme have great employment opportunities based on EGFSN recent report.
A new report from the Expert Group on Future Skills Needs forecasts that 21,000 additional jobs are likely to be created in the Biopharma sector in Ireland by 2027. The report, entitled Skills for Biopharma – Researching and forecasting the current and future skills needs of the Biopharma sector in Ireland to 2027 shows the strong growth in employment in the Biopharma sector in both manufacturing and services subsectors in Ireland since 2016, and highlights the specific skills needed to support this dynamic and strategically important sector for Ireland’s economy. This report highlights that microcredentials for BioPharma training are an opportunity for skills enhancement.
Further Information
Who Should Apply?
Operators, Technical Staff, New hires, Jobseekers, Sales staff and Managers and industry employees wishing to enhance their employment opportunities by increasing their understanding of data analytics
Contact Information
Life Sciences