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Masters in Manufacturing Engineering with Data Science & AI for Competitive Manufacturing

ME (NFQ Level 9)

This course is available through the following application route(s)

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This Master's merges manufacturing technical and technological aspects with innovation and entrepreneurship teaching, in the context of global societal challenges, such as circular economy, industrial innovation and sustainability. It is a double degree programme, coordinated by EIT Manufacturing Master School, between UCD and other universities around Europe i.e. Aalto University, Finland, Ecole Centrale de Nantes (ECN), France, University of Applied Sciences and Arts of Italian Switzerland (SUPSI), Switzerland, Institut Polytechnique de Grenoble (Grenoble INP), France, University of Trento (UNITN), Italy and Vienna University of Technology (TU Wien), Austria. The first year is spent at UCD (entry university) and the second year is spent at another (exit) university as listed above.

Students choose one of four majors offered as part of the programme i.e.

  • Additive manufacturing for Full Flexibility,
  • Zero-Defect Manufacturing for a Circular Economy,
  • Digital Manufacturing for Innovative Ecosystems
  • Data Science and AI for Competitive Manufacturing.

 The unique factors that this programme offers to all students include

  1. direct involvement of industry,
  2. hands-on experiential learning through Teaching & Learning Factories,
  3. Fully immersive and transnational experience involving at least two institutions from different countries,
  4. core technology areas combined with structured training in innovation and entrepreneurship,
  5. cross-sectoral involvement from both academia and industry.

See the EIT Manufacturing Master School Website for further details.

This is an EIT Labelled programme

 

 

About This Course

Data Science and AI for Competitive Manufacturing is a combination of manufacturing science and Information and communication technology including the usage and adoption of advanced digital solutions and platforms. During the programme, students will gain new skills in relevant fields including modelling and simulation of production systems, manufacturing engineering, service and system engineering, machine learning and data mining.

A student who graduates from the ME Manufacturing Engineering with “Data Science and AI for Competitive Manufacturing” major shall: 

  • have broad knowledge of theories and concepts in information system management, digital monitoring, digital security.
  • be able to implement the gained expertise in data science and AI to create new or improved digital manufacturing systems and services;
  • be able to critically, independently and creatively participate in strategic work to meet manufacturing-related problems and to be able to relate these measures to sustainable social development,
  • be able to think beyond traditional disciplinary boundaries to find innovative solutions to real-world problems and to come up with new ideas applicable to Data science, AI and manufacturing; 
  • be able to draw up plans and to make decisions foreseeing future consequences from a scientific, ethical, and societal perspective; 
  • be able to turn innovations in the area into feasible and successful business solutions; 
  • be able to profitably work in small size teams and contexts by taking into account all relevant elements and showing effective decision-making and leadership abilities.

There is strong demand throughout Europe for graduates of manufacturing degree programmes to be better equipped for the marketplace than their predecessors have been. There is a strong need for graduates to have direct experience in industry, to have a practical awareness of important developments within the sectors of Europe’s manufacturing industry (e.g., increased digitalisation, demands of Industry 4.0, growth of additive manufacturing and manufacturing data analytics, etc.), to have a greater awareness of innovation & entrepreneurship, combined with an international perspective that is the direct result of personal experiences. The ME Manufacturing Engineering will prepare you for high-level technical positions, Innovation roles and business profiles, including the capability to create your own start-up. It will also allow you to create a professional network at the national and international level through several initiatives and the EIT alumni communities.

Below is a list of all modules offered for this degree in the current academic year. Click on the module to discover what you will learn in the module, how you will learn and assessment feedback profile amongst other information.

Incoming Stage 1 undergraduates can usually select an Elective in the Spring Trimester. Most continuing undergraduate students can select up to two Elective modules (10 Credits) per stage. There is also the possibility to take up to 10 extra Elective credits.

Module Type Module   Trimester Credits
Stage 1 Core Modules
MEEN40030 Manufacturing Engineering II Autumn  5
Stage 1 Core Modules
MEEN40050 Computational Continuum Mechanics I Autumn  5
Stage 1 Core Modules
MEEN40150 Computational Continuum Mechanics II Autumn  5
Stage 1 Core Modules
MEEN41190 Sys. Anal. & Improv. (EITM) Autumn  5
Stage 1 Core Modules
MEEN41330 Data Analytics for Engineers Autumn  5
Stage 1 Core Modules
MEEN30140 Professional Engineering (Finance) Spring  5
Stage 1 Core Modules
MEEN40110 Advanced Polymer Engineering Spring  5
Stage 1 Core Modules
MEEN40430 Professional Engineering (Management) Spring  5
Stage 1 Core Modules
MEEN41090 Eng. Decision Support Systems Spring  5
Stage 1 Core Modules
MEEN41150 Advanced Metals Processing Spring  5
Stage 1 Core Modules
MEEN41210 Summer School (EITM) Spring  5
Stage 1 Options - A) Min 1 of:
Students MUST register for a maximum of ONE Option Module in the Autumn Trimester from the OPTIONS list below. Students MUST consult their UCD Programme Director before registering for any of the modules.
MEEN40560 Research Skills and Techniques Autumn  5
Stage 1 Options - A) Min 1 of:
Students MUST register for a maximum of ONE Option Module in the Autumn Trimester from the OPTIONS list below. Students MUST consult their UCD Programme Director before registering for any of the modules.
MEEN40820 Technical Comms (Online) Autumn  5
Stage 2 Options - A) Min 1 of:
Stage 2 (Year 2) of the ME (Manufacturing Engineering) Degree Programme is undertaken at the University of Trento in Italy (UNITN). Upon successful completion of Stage 2 (Year 2), 60 credits with a composite GPA will be added to the students record to recognise their performance at UNITN and with regard to formal completion of this double-degree programme.
MEEN41230 UCD-ECN Credit Recognition 2 Trimester duration (Aut-Spr)  60
Stage 2 Options - A) Min 1 of:
Stage 2 (Year 2) of the ME (Manufacturing Engineering) Degree Programme is undertaken at the University of Trento in Italy (UNITN). Upon successful completion of Stage 2 (Year 2), 60 credits with a composite GPA will be added to the students record to recognise their performance at UNITN and with regard to formal completion of this double-degree programme.
MEEN41300 UCD-SUPSI Credit Recognition 2 Trimester duration (Aut-Spr)  60
Stage 2 Options - A) Min 1 of:
Stage 2 (Year 2) of the ME (Manufacturing Engineering) Degree Programme is undertaken at the University of Trento in Italy (UNITN). Upon successful completion of Stage 2 (Year 2), 60 credits with a composite GPA will be added to the students record to recognise their performance at UNITN and with regard to formal completion of this double-degree programme.
MEEN41320 UCD-UNITN Credit Recognition 2 Trimester duration (Aut-Spr)  60

Dr Pezhman Ghadimi, Programme Director

This European and intersectoral mobility postgraduate programme is strongly oriented towards innovation and entrepreneurship. The strong industry component is reinforced by industry projects, the Industrial Master thesis and a potential internship (self-secured). The objective of the Master School is to train future European leaders in manufacturing, combining digital and technical manufacturing skills to meet the needs of European SMEs and multinationals alike. Students will be delivered a double Master degree after spending one year in two of the seven universities which shaped this ambitious and prestigious training programme, along with an EIT Manufacturing certificate. UCD will welcome students participating in this programme next September 2023 for the first year of their Master's studies. The students will spend their second year at other partner universities.

Tuition fees for EU/EFTA citizens: € 8,000 per year 
Tuition fees for Non-EU/EFTA citizens: € 15,000 per year
For more information regarding available financial support please refer to Apply online! - EIT Manufacturing

Applicants must hold a bachelor’s degree with a minimum of 180 ECTS credits or equivalent academic qualifications from an internationally recognized university with a minimum 2:1 degree GPA. B.Sc, in Mechanical Engineering, Electrical Engineering, Computer Engineering, Computer Science, Information Technology or Industrial Engineering, depending on the minor that the applicant wants to pursue

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.

Full Time option suitable for:

Domestic(EEA) applicants: Yes
International (Non EU) applicants: Yes


Applicants must hold a bachelor’s degree with a minimum of 180 ECTS credits or equivalent academic qualifications from an internationally recognized university with a minimum 2:1 degree GPA. B.Sc, in Mechanical Engineering, Electrical Engineering, Computer Engineering, Computer Science, Information Technology or Industrial Engineering, depending on the major that the applicant wants to pursue.


General application route(s) for Irish/UK/EU applicants* for International (non-EU) applicants* to Masters in Manufacturing Engineering with Data Science & AI for Competitive Manufacturing:

ROWCLASS Apply to   Application Type  

Currently, there are no forthcoming intakes for this course that are open for application

* you can change options at the top of the page