Process & Engineering Management (Bachelor of Engineering, L8, 60 ECTS)

Engineering Operations Management (5 ECTS)

The aim of this module is to provided the learner with an introduction to engineering management concerned with forcasting of product, capacity planning, new product introduction, validation of a process, supply chain and change management in a manufacturing environment. The module will also give a broad overview of the qualit ymanagement systems, standards, compliance, auditing and regulator bodiese requirments and effects on a product and manufacturing environemnt. This module will help the student develop a number of Professional Transferable Skills, such as critical thinking, problem solving, entrepreneurship, and customer focus.

Process Control & Statistics (5 ECTS)

This module aims to give the student a broad foundation in statistics so that the student has the necessary confidence and skills in descriptive statisticals to visualise and interpret data both manually and using statistical software. It will also introduce the student to the concept of Quality Science, to give the student a broad understanding of the Six Sigma methodology and its statistical control techniques.

Engineering Project Management (5 ECTS)

This module provides the learner with an introduction to formal project management methodologies and the project management environment. Utilising active learning strategies, the module develops the learner’s knowledge and skills in the various tools and techniques for effective project management outlined in the Project Management Body of Knowledge (PMBOK). The module also provides a platform for the learner to investigate their own personality type, and to develop a deeper awareness of the effects of different personality types on the project team. This module also introduces the learner to situational project management through multiple choice questions, which are in line with the Project Management Institute (PMI) accreditation assessment method.

Statistical Process Analysis (5 ECTS)

The module builds on the Students foundation in statistics and builds confidence in statistical skills in order to, visualise and interpret inferential statistics, make good decisions from samples / populations, improve quality. Exploring Quality Science, to give the student an understanding of the Six Sigma methodology, and to give the student a broad foundation in the statistical thinking that form the basis of the Six Sigma process.

Process Improvement (10 ECTS)

Lean Six Sigma Improvement Methodologies represents the drive of efforts in manufacturing and service organisations to improve, services, and processes. Six Sigma represents a new direction to quality and productivity improvement, but the tools and philosophy have been established in the fundamental principles of total quality and continuous improvement that have been in use for the past number of decades.

The aim of this module is to give a broad overview of the tools and techniques that are used in Lean Six Sigma projects. This module will help the student develop a number of Professional Transferable Skills, such as critical thinking, problem solving, communication (written and oral), entrepreneurship, networking and customer focus.

Applied Process Improvement (5 ECTS)

Lean Six Sigma Improvement Methodologies represents the drive of efforts in manufacturing and service organisations to improve, services, and processes. Six Sigma represents a new direction to quality and productivity improvement, but the tools and philosophy have been established in the fundamental principles of total quality and continuous improvement that have been in use for the past number of decades. The aim of this module is to apply the tools and techniques that are used in Lean Six Sigma projects and in the design For Six Sigma (DFSS). This module will help the student develop a number of Professional Transferable Skills, such as critical thinking, problem solving, communication (written and oral), entrepreneurship, networking and customer focus.

Applied Project Management (10 ECTS)

The module adopts both theoretical and active learning, where the learner completes a work based project. The learner applies analytical tools developed in the programme to make observations and critically analyse a project that is industrial in nature. The learner creates a formal project report utilising Advanced Word, Excel and MS Project and is provided with the opportunity to develop their presentation skills as they present work throughout the semester. This module aims to advance the learner’s transferrable skills, in order to prepare for employment, including creative problem solving, technical writing and presentation skills.

Process Management (5 ECTS)

The aim of this module is to provide the learner with an introduction to engineering management concerned with company strategies and objectives. To evaluate product life cycle, process types, designs, layouts, process analysis while ascertaining a knowledge of current technologies and data processing used in the manufacturing A broad overview will be given of the tools and techniques that are used in the operations and manufacturing environment to ensuring that operations are efficient in terms of using as few resources as needed, and effective in terms of meeting customer requirements. This module will help the student develop a number of Professional Transferable Skills, such as critical thinking, problem solving, entrepreneurship, and customer focus.

Dissertation Tutorial (Year Long) (10 ECTS)

1. Year long module, 100% Continuous Assessment
2. Research based topics

Some examples of past dissertation topics:

• Establish what levels of collaborative robots (Cobot) are used in manufacturing in the mid-west region.
• Traditional Project Management vs AGILE – Is there an optimum management technique?
• Can Six Sigma tools/statistical analysis be used to improve the environmental performance?
• An investigation into the impact of Covid-19 on Change Management in Engineering Companies in Ireland.
• The role of the validation engineering in meeting regulatory requirements in the pharmaceutical industry.
• The evolution and impact of 3D printing on the medical device and aeronautical industry.

(a) Applicants must satisfy a minimum entry requirement of a pass in a relevant Bachelor Degree (Level 7) in science, Technology or engineering with an overall average performance of at least 40%

Or

(b) An equivalent qualification to a Bachelor Degree (Level 7) with appropriate prerequisite subjects or a pass in a relevant Bachelor Degree (Level 7) with one-year suitable and relevant work experience.

Or

Recognition of Prior Learning (RPL) 
If you do not meet the academic entry requirements listed above but would like your application assessed under RPL please select YES on the online application. Please include details of any relevant work experience/further information relevant to your application.

English Language: Applicants who do not have English as their first language must ensure they satisfy English Language requirements. For entry to undergraduate courses, a score of 5.5 in an IELTS or equivalent exam is required. For postgraduate courses, a score of 6.0 in an IELTS or equivalent exam is required. It is the responsibility of the applicant to ensure their English proficiency meets these requirements. Please note that we do not request proof of English language qualification or proficiency.

Start Date

Student ‘Welcome Induction Session’ will take place online on the evening of Wednesday 2nd September 2026.

Programme delivery will commence the following week on Monday 7th September 2026.

This programme will be delivered online from September for a full year.

Semester 1: September to December: Monday, Tuesday, Wednesday & Thursday 6pm-9pm
Semester 2: January to April: Monday, Tuesday, Wednesday & Thursday 6pm-9pm
Semester 3: Dissertation: Completed during S3 but classes for it run over S1 & S2 Wednesday 12pm-1pm (24 Weeks).

Proposed delivery schedule is subject to change.

Each 5 credits will normally equate to approximately 100 Total Learning Hours. Total Learning Hours includes the time you spend in class (lectures, tutorials, practical elements) and the time you spend completing work outside of college. The balance between these two varies by discipline, and by level of study. You should bear in mind that the workload will increase at particular times e.g. when assignments are due.

Continuous Assessment (100% online).

Bachelor of Engineering in Process & Engineering Management (Level 8, 60 ECTS)

€5,700* Springboard funded.

Successful applicants in employment will qualify for 90% Springboard+ funding & will be liable for the balance of the 10% fee of €570.

Successful applicants on a qualifying DSP payment will qualify for 100% funding.