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MEngSc in Electrical Power Networks  (T378)

MEngSc (NFQ Level 9) · Academic Year 2024/2025
School
School of Electrical and Electronic Engineering
Attendance
Full Time
Level
Graduate Taught
NFQ Level
9
Award
Master of Engineering Science
Mode of Delivery
On Campus
Programme Director
Dr Paul Cuffe
Overall Programme Credits:
90
Programme Credits:
Stage 1
Core/Option: 90 Electives: 0
Major/Minor Core & Option Credits:
Stage 1: 90

Curricular information is subject to change.

For more information on this programme, see: MEngSc Electrical Power Networks.

Delivered by a highly research-active School composed of many internationally high-profile academics, including five IEEE Fellows. This programme is also taught by academics from the world-leading Energy Institute for the integration of renewables into power systems and energy systems.

Module Information:

Under the "What modules can I take?" section below you will see general module information, for a more detailed description including module selection rules click here.

The MEngSc Electrical Power Networks is a one-year programme that educates professional engineers to excel at an advanced technical level, or as a professional engineering manager, in the expanding sustainable power system and smart grid sectors anywhere in the world. The strong emphasis within the programme on the mathematical and analytical underpinnings of the discipline also provide an excellent foundation for entry into advanced research programmes. The programme can be taken by graduates with an honours bachelor's (first cycle) degree in electrical engineering or a closely related discipline. Graduates will receive an advanced engineering education in subject areas related to power system analysis & design, power electronics applications & design, sustainable power systems, smart grid communication architectures and electricity market operations.



Individual modules are taught by a strong cohort of experienced and internationally recognised academic staff (forming part of the world-leading Energy Institute for the integration of renewables into power systems), with expertise in all the core areas of Electrical Engineering. Teaching methods and assessment procedures vary across the programme to suit the wide range of subjects offered, and include individual and group analytical studies, and practical work. There is a strong laboratory component, allowing students to experience the practical aspects of electrical energy engineering, while assignments provide complex design and problem-solving challenges. In the final trimester, a substantial research project draws together many of the separate strands of learning, with an emphasis on independent learning, research methods, technical design & analysis, and communication skills.


  • Advanced knowledge & understanding of the mathematical and analytical techniques and technologies underpinning the electrical energy engineering field, including state oft the art research techniques, with a focus on sustainable power systems, smart grid applications and power electronics technology
  • The ability to identify, formulate, model, critically analyse, optimise and solve complex electrical engineering problems, placed in the wide context of smart grid applications, power electronic systems and electricity market economics
  • The ability to perform the detailed design of electrical networks, power system components and power electronic systems using advanced and research level analytical techniques, and a critical interpretation of relevant data
  • The ability to design, conduct and critically evaluate experiments, and apply and assess a range of standard and specialised research tools, advanced analytical techniques and methods of enquiry using industry standard software tools, specialist research tools and laboratory facilities
  • A strong understanding of the need for high ethical standards in the practice of electrical energy engineering, including the responsibilities of the engineering profession towards people and the environment
  • The ability to work highly effectively as an individual, in teams and in multidisciplinary settings, together with the capacity to undertake lifelong learning, and so offering a strong foundation for entry into advanced research programmes
  • The ability to communicate effectively on complex engineering activities, fully recognising multidisciplinary aspects, with the engineering community, individual research disciplines and with society at large 

By completing the MEngSc Electrical Power Networks programme, you will become a graduate with power systems expertise, whose rare skills will be attractive to a wide variety of technical and managerial roles in the electrical utility and smart grid sectors on an international scale, e.g. ABB, Alstom, EDF, EirGrid, EPRI, ESB, GE, NREL, Siemens. 

The MEngSc programme also provides an excellent starting point for those aiming for a PhD programme and a research career within a university or specialised research institution.

Stage 1

T378 MEngSc Electrical Power Networks FT is a 1-year 90-credit full-time Masters Programme. There are 60 credits of Core Modules and students must also take 30 credits of Option Modules. 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.

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
EEEN40010 Control Theory Autumn  5
Stage 1 Core Modules
EEEN40080 Power System Operation Autumn  5
Stage 1 Core Modules
EEEN40550 Power System Dynamics and Control Autumn  5
Stage 1 Core Modules
EEEN40580 Optimisation Techniques for Engineers Autumn  5
Stage 1 Core Modules
EEEN40090 Power System Design Spring  5
Stage 1 Core Modules
EEEN40120 Applications of Power Electronics Spring  5
Stage 1 Core Modules
EEEN40700 MEngSc Electrical Project Summer  30
Stage 1 Options - A)6 of:
OPTION MODULES: All students take 30 credits of Option Modules (6 x 5cr). Students should choose 10 credits of Option Modules in Autumn (2 modules from 4 available) and 20 credits in Spring (4 modules from 5 available). 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.
ACM40290 Numerical Algorithms Autumn  5
Stage 1 Options - A)6 of:
OPTION MODULES: All students take 30 credits of Option Modules (6 x 5cr). Students should choose 10 credits of Option Modules in Autumn (2 modules from 4 available) and 20 credits in Spring (4 modules from 5 available). 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.
EEEN40100 Power Electronics and Drives Autumn  5
Stage 1 Options - A)6 of:
OPTION MODULES: All students take 30 credits of Option Modules (6 x 5cr). Students should choose 10 credits of Option Modules in Autumn (2 modules from 4 available) and 20 credits in Spring (4 modules from 5 available). 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.
EEEN40110 Renewable Energy Systems Autumn  5
Stage 1 Options - A)6 of:
OPTION MODULES: All students take 30 credits of Option Modules (6 x 5cr). Students should choose 10 credits of Option Modules in Autumn (2 modules from 4 available) and 20 credits in Spring (4 modules from 5 available). 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.
EEEN40310 Power Electronics Technology Autumn  5
Stage 1 Options - A)6 of:
OPTION MODULES: All students take 30 credits of Option Modules (6 x 5cr). Students should choose 10 credits of Option Modules in Autumn (2 modules from 4 available) and 20 credits in Spring (4 modules from 5 available). 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.
EEEN40720 Machine Learning for Engineers Autumn  5
Stage 1 Options - A)6 of:
OPTION MODULES: All students take 30 credits of Option Modules (6 x 5cr). Students should choose 10 credits of Option Modules in Autumn (2 modules from 4 available) and 20 credits in Spring (4 modules from 5 available). 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.
COMP47670 Data Science in Python (MD) Autumn and Spring (separate)  5
Stage 1 Options - A)6 of:
OPTION MODULES: All students take 30 credits of Option Modules (6 x 5cr). Students should choose 10 credits of Option Modules in Autumn (2 modules from 4 available) and 20 credits in Spring (4 modules from 5 available). 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.
ECON42360 Energy Economics and Policy Spring  5
Stage 1 Options - A)6 of:
OPTION MODULES: All students take 30 credits of Option Modules (6 x 5cr). Students should choose 10 credits of Option Modules in Autumn (2 modules from 4 available) and 20 credits in Spring (4 modules from 5 available). 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.
EEEN30150 Modelling and Simulation Spring  5
Stage 1 Options - A)6 of:
OPTION MODULES: All students take 30 credits of Option Modules (6 x 5cr). Students should choose 10 credits of Option Modules in Autumn (2 modules from 4 available) and 20 credits in Spring (4 modules from 5 available). 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.
MEEN40430 Professional Engineering (Management) Spring  5
Stage 1 Options - A)6 of:
OPTION MODULES: All students take 30 credits of Option Modules (6 x 5cr). Students should choose 10 credits of Option Modules in Autumn (2 modules from 4 available) and 20 credits in Spring (4 modules from 5 available). 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.
MEEN40670 Technical Communication Spring  5

See the UCD Assessment website for further details

Module Weighting Info
 
  Award GPA
Programme Module Weightings Rule Description Description >= <=
MTEMP001 Stage 1 - 100.00%
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