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Masters in Manufacturing Engineering with Data Science & AI for Competitive Manufacturing  (T383)

ME (NFQ Level 9) · Academic Year 2024/2025
School
School of Mechanical and Materials Engineering
Attendance
Full Time
Level
Graduate Taught
NFQ Level
9
Award
Master of Engineering
Mode of Delivery
On Campus
Programme Director
Dr Pezhman Ghadimi
Overall Programme Credits:
120
Programme Credits:
Stage 1
Core/Option: 60 Electives: 0
Stage 2
Core/Option: 60 Electives: 0
Major/Minor Core & Option Credits:
Stage 1: 60
Stage 2: 60

Curricular information is subject to change.

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

 

 

This EIT-Manufacturing Masters programme (UCD ME Manufacturing) aspires to be Europe’s pre-eminent taught programme for graduates seeking to pursue careers in the manufacturing industry.  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.


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.

Stage 1

The ME (Manufacturing Engineering) Degree Programme with Data Science & AI Competitive Manufacturing is a Two-Year 2-Stage 120-Credit Masters Programme. This is offered as a double-degree under the EIT Manufacturing Master School collaborative programme. Students are required to take 60 credits in Stage 1 (Year 1) at UCD as the Entry University with a balanced workload of 30 credits per Trimester. Stage 2 (Year 2) of the Programme will be completed at the University of Trento in Italy as the Exit University. All modules are REQUIRED Core Modules and students will be automatically registered for them. The EITM Summer School will be accomplished centrally with other EITM students in the summer but the credits will be counted in the Spring trimester.

Stage 2

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 student's record to recognise their performance at UNITN and with regard to formal completion of this double-degree programme.

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

See the UCD Assessment website for further details

Module Weighting Info
 
  Award GPA
Programme Module Weightings Rule Description Description >= <=
MTEMP010 Stage 2 - 50.00%
Stage 1 - 50.00%
Standard Honours Award First Class Honours

3.68

4.20

Second Class Honours, Grade 1

3.08

3.67

Second Class Honours, Grade 2

2.48

3.07

Pass

2.00

2.47