Robotics & Intelligent Manufacturing

The development and deployment of robotic as well as smart manufacturing technologies have become very important for a significant number of industrial sectors in Ireland and the rest of the world, including biomedical, pharmaceutical, agricultural as well as electronics manufacturing companies.



The main barrier towards implementing modern, smart automation technologies in standard manufacturing practices is the lack of skills of automation experts in the areas of robotics and digital manufacturing. In Ireland, this is manifested in the difficulty Irish robotic and system integration companies have in recruiting engineers who can be readily involved in today’s complex automation cell and line building projects. This is also reflected on the average salary of automation experts, which is among the highest in the country. The main goal of this programme is to produce experts with sufficient scientific and practical skills in the areas of robotics and smart manufacturing.



This programme is delivered by a highly research-intensive school, which is in the top 150 in the QS world subject rankings. An example of this research activity is the coordination of the 2.23-million-euro Horizon Europe iCircular3 Marie Skłodowska-Curie Actions project, with one of its main research goals being to take advantage of circular economy principles for improving the efficiency as well as for extending the lifecycle of industrial robots.



Individual Modules:

For students that are not in a position to take on the full programme a number of the modules on this programme can be taken individually via the Advance Centre catalogue. Most modules are online so that you can fit study around your work and life.

Subjects taught

Stage 1 Core Modules

MEEN40790 Supply Chain Design & Analysis Autumn 5

MEEN40800 Engineering Project Management - Tools & Techniques Autumn 5

MEEN41330 Data Analytics for Engineers Autumn 5

MEEN41350 Introduction to Robotics Autumn 5

MEEN41090 Eng. Decision Support Systems Spring 5

MEEN41100 Operations Management Spring 5

MEEN41390 Industrial Automation Spring 5

MEEN41440 Robotic Applications Spring 5

MEEN41470 Applied Robotics Research Proj Summer 30



Stage 1 Options - A)20CR:

OPTION MODULES: All students take 20 credits of Option Modules (4 x 5cr). Students should choose 10 credits of Option Modules in Autumn and 10 credits in Spring. Students should aim for a balanced workload of 30 credits per trimester. Students must consult with the Programme Director and Module Co-ordinator(s) to ensure that they satisfy prior learning requirements for their chosen module(s) and may not have taken module(s) with similar content previously. Students registering for COMP47670 MUST select the Spring Trimester offering of this module.



EEEN40010 Control Theory Autumn 5

EEEN40300 Entrepreneurship in Engineering Autumn 5

EEEN40720 Machine Learning for Engineers Autumn 5

EEEN40730 Biosensors & Actuators Autumn 5

MEEN40030 Manufacturing Engineering II Autumn 5

COMP47670 Data Science in Python (MD) Autumn and Spring (separate) 5

EEEN40280 Digital & Embedded Systems Spring 5

MEEN40110 Advanced Polymer Engineering Spring 5

MEEN40670 Technical Communication Spring 5

MEEN41150 Advanced Metals Processing Spring 5

Entry requirements

An honours undergraduate degree (NFQ Level 8) with a minimum upper second class honours or international equivalence in a relevant Engineering or Science programme.



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.



A detailed explanation of the student’s interest in the programme must be provided.



Students meeting the programme’s academic entry requirements but not the English language requirements, may enter the programme upon successful completion of UCD’s Pre-Sessional or International Pre-Master’s Pathway programmes.



These are the minimum entry requirements – additional criteria may be requested in the future.



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

Duration

Masters in Robotics and Intelligent Manufacturing T405 Graduate Taught MEngSc On Campus FT 1 Year

Enrolment dates

T405 Masters in Robotics and Intelligent Manufacturing Master of Engineering Science Full-Time Commencing September 2025 Graduate Taught

Post Course Info

At this point of time there is a quite significant lack of automation scientists and engineers in the Irish job market. The prospectives for the programme graduates are excellent. Leading automation companies, such as KUKA Ireland and Cobots.ie, as well as biomedical manufacturing companies, such as STRYKER and Boston Scientific, are continuously looking for automation experts in the Irish job market.



KUKA Robotics Ireland Ltd

Cobots.ie

Tricon Automation Ireland Ltd

DesignPro Automation Ltd

Eiratech Robotics

Robotics and Drives

ATA Group

Irish Manufacturing Research

Reliance Automation

More details
  • Qualification letters

    MEngSc

  • Qualifications

    Degree - Masters (Level 9 NFQ)

  • Attendance type

    Full time,Daytime

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    Course provider