Spectroscopic Technologies & Data Analysis for Advanced Manufacturing

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: A limited number of funded places are now open through www.springboardcourses.ie

Stage 1 Core Modules

BSEN30590 MATLAB and R for beginners Autumn 5

BSEN40860 Chemometrics 1 Autumn 5

BSEN30520 Sensors and Sensing Systems Spring 5

BSEN40520 Optical Spectroscopy Spring 5

BSEN40870 Chemometrics 2 Spring 5

BSEN30600 PAT Project Summer 20



Stage 1 Options - A) Min 2 of:

AUTUMN OPTIONS: Select two (10 credits) of the following Optional Modules in the Autumn Trimester

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



Stage 1 Options - B) Min 1 of:

SPRING OPTIONS: Select one of the following Optional Modules in the Spring Trimester

BSEN40620 Biomass innovation, green technology and business O/L Spring 5

BSEN40750 IoT enabled AgriFood Prod Spring 5

COMP47990 Machine Learning with Python (Online) Spring 5

MEEN40310 Project Management Spring 5

- Applicants should hold a 2.2 or higher honours degree (NFQ Level 8 or International equivalent) in a STEM subject. Other disciplines and holders of Certificate and Diploma qualifications will be considered subject to an application detailing suitable mathematical, technological, and analytical skills, particularly if these can be demonstrated by experience in a relevant industrial/work environment.



- Applicants will be initially screened to confirm that they satisfy the HCI Pillar 1 eligibility requirements; following this, their eligibility for the programme in terms of their educational record, skills and motivation will be assessed via CV and letter of motivation. Should more than 20 students be eligible, at this point a ranking will be carried out based on the CV and letter of motivation. A dedicated programme administrator will be assigned to review the applications.



- Applicants whose first language is not English must also demonstrate English language proficiency of IELTS 6.5 (no band less than 6.0 in each element), or equivalent.



You may be eligible for Recognition of Prior Learning (RPL), as UCD recognises formal, informal, and/or experiential learning. RPL may be awarded to gain Admission and/or credit exemptions on a programme. Please visit the UCD Registry RPL web page for further information. Any exceptions are also listed on this webpage.

https://tinyurl.com/2ae2ffax

12 months full-time.

Delivery: Blended.

T389 HDip in Spectroscopic Technologies & Data Analysis for Advanced Manufacturing Higher Diploma Full-Time Commencing September 2025

Graduate Taught

Career & Graduate Study Opportunity

Graduates with skills in Advanced Spectroscopy, Analytical Science, Instrumentation, Calibration and Data Analytics are highly sought after in the food/pharmaceutical/materials manufacturing industries. Job readiness is embedded in this programme through both credit bearing and non-credit bearing modules.