This Higher Diploma has been structured in such a way to allow those currently working to upskill in this area, the course is 60 credits in total, 20 each trimester, which is a manageable load for those currently working. Additionally the flexible delivery of this programme – 70% of the content is online, is available either in real time or via recordings to suit your learning needs. It is designed to upskill a target cohort of STEM graduates seeking to either upskill or return to the workplace to gain sustainable employment, or those already in the workplace, who are seeking to develop high level skills in Spectroscopic Technologies and Data Analysis for Advanced Manufacturing, thus future proofing graduates with advanced skills in emerging technologies relevant to advanced manufacturing industries (including bioprocessing, biomaterial, chemical and food processing).
This multidisciplinary diploma addresses the National need for the development and deployment of advanced spectroscopic technologies and digital skills. Although new technologies are available to provide massive and continuous data for improved process understanding and control, many industries still rely on manual acquisition and interpretation of data, due to a lack of skilled workforce. Students will develop skills in data analysis, sensors, automation and analytical technologies, which have been highlighted as key to the competitiveness of Irish industry (Manufacturing in Ireland: today, tomorrow and Beyond, Ibec, 2022). These skills are of critical importance in mitigating against unemployment exposure within the biological, chemical, food other advanced manufacturing industries, future proofing graduates with advanced skills in emerging technologies relevant to advanced manufacturing industries (including bioprocessing, biomaterial, chemical and food processing).
Modules are offered across three Schools in the UCD College of Engineering and Architecture (Biosystems Engineering, Chemical & Bioprocess Engineering and Mechanical and Materials Engineering). This unique cross-cutting interdisciplinary programme also addresses the following priority skills needs for enterprise (as identified by the Regional Skills Fora and the National Training Fund advisory group): Advanced Spectroscopy, Good Manufacturing Practice, Quality Management in Food/Biopharma/Pharma/Materials production, Analytical Science, Industrial Instrumentation, Calibration, Statistics, Data Analytics. Big Data, Smart Manufacturing IOT and Industry 4.0.
This programme is also suitable for those who are working as the content is delivered approximately 70% online. Additionally as most modules can be done either in real time or via recordings – this gives workers flexibility in managing their learnings around their work hours.
Funding: This programme is eligible for springboard funding, if you believe you are eligible please apply first on www.springboardcourses.ie
Curricular information is subject to change
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On completion of this programme, graduates will be able to
T389 HD Spectroscopic Tech&Data Analysis for Adv Manufacturing FT is a one-year, 60-credit full-time Higher Diploma Programme. All students must take 60 credits of taught modules across the Autumn, Spring and Summer Trimesters, with a balanced workload of 20 credits per trimester.
| Module ID | Module Title | Trimester | Credits |
|---|---|---|---|
| BSEN30590 | MATLAB and R for beginners | Autumn | 5 |
| BSEN40860 | Chemometrics 1 | Autumn | 5 |
| BSEN30520 | Sensors and Sensing Systems | Spring | 5 |
| BSEN40520 | Optical Sensing Technology | Spring | 5 |
| BSEN40870 | Chemometrics 2 | Spring | 5 |
| BSEN30600 | PAT Project | Summer | 20 |
| BSEN40500 | Hyperspectral imaging | Autumn | 5 |
| BSEN40820 | Carbon Footprinting | Autumn | 5 |
| CHEN40120 | Biopharmaceutical Industry Regulation and Management | Autumn | 5 |
| CHEN40770 | Data Sci for Biopharm Manufact | Autumn | 5 |
| MEEN40800 | Engineering Project Management - Tools & Techniques | Autumn | 5 |
| BSEN40620 | Biorefinery Process & Tech O/L | Spring | 5 |
| BSEN40750 | IoT enabled AgriFood Prod | Spring | 5 |
| MEEN40310 | Project Management | Spring | 5 |