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 | Blended |
| 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.
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
3 hours per week
Examination and Assessment
Theory: 30%
Lab Report: 40%
Reflective Report on Learning Applied to own employment (1500 words): 30%
Lab Report: 40%
Reflective Report on Learning Applied to own employment (1500 words): 30%
On-Campus Attendance Requirement
For this special purpose award, students are required to attend three days in NIBRT at their state-of-the-art
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.
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
The programme is open to students who have completed a minimum of a 2.2 Honours Level 8 degree in a Science or Engineering subject related to the life sciences.
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
Department
Life Sciences
