Course Overview

This award-winning programme was designed in partnership with academics and employers to meet the specific requirements of industry. It equips graduates with essential knowledge and skills in the fields of operations, technology and innovation management and makes you industry ready. 

The programme aims to enhance graduates’ technical and management contribution in various enterprises including manufacturing, financial services, health services, government, and many more. It invites participants from many disciplines: it is suitable for Engineering, Science, Commerce, and Arts graduates who wish to pursue a career in a high-tech environment. This conversion course aspect is of significant interest to students who may wish to change direction from their course of undergraduate study and pursue a new career path that offers them sound employment prospects in a growth area.

The Masters of Applied Science (Enterprise Systems) programme is highly regarded by employers and there is always a very strong demand for our graduates. All of our graduates have secured high quality roles in engineering, management and information systems with companies such as Accenture, Apple, Boston Scientific, Medtronic, Stryker, Ingersoll Rand, Jaguar, Valeo, Pepsi, Kerry Group, IBM, and Hewlett Packard.

Key features of the programme include:

    • Infusing a strong ethos of innovation in students
    • Engaging teaching methods (e.g. Lego serious play; company visits; guest lectures)
    • A customised learning programme to suit the needs of individual students
    • Multidisciplinary approach (e.g. Engineering, Technology, Business)
    • Extensive career opportunities

Enterprise Systems focus on people, process and technology related issues in an organisation. Our flexible course structure allows you to build your own curriculum by choosing from a number of available modules to make up 50 ECTS (credits) or equivalent over the duration of the programme. A research thesis (30 ECTS) and Research Methods (10 ECTS) are core subjects and ensure students develop their critical thinking, analytical and writing skills. Learning outcomes are achieved by problem-based learning techniques and completion of a number of real world assignments. Written examinations are held each semester.

Applications and Selections

Applications are made online via the NUI Galway Postgraduate Applications System

Who Teaches this Course

Requirements and Assessment

Problem-based learning techniques are used in most of our modules. You must also complete a number of real world assignments. Written examinations take place at the end of each semester.

Key Facts

Entry Requirements

Entry to the Masters of Applied Science (Enterprise Systems) is open to those who hold a Second Class Honours degree at Level 8 in a related discipline. Candidates who hold a Level 8 degree without honours and who have three years’ relevant experience will also be considered.

Additional Requirements

Duration

1 year, full-time
2 years, part-time

Next start date

September 2019

A Level Grades ()

Average intake

17

Closing Date

 Please view the offer rounds website.

NFQ level

9

Mode of study

Taught

ECTS weighting

90

Award

CAO

Course code

1APE1, full-time
1APE2, part-time

Course Outline

The flexible structure allows you to tailor the programme to your specific needs. You can choose from those listed below. Modules are subject to availability and other modules may be made available. You must also prepare a research thesis on a topic to be agreed with an academic leader. We will equip you with all scientific skills you need to do this in our module on Research Methods.

 

Curriculum Information

Curriculum information relates to the current academic year (in most cases).
Course and module offerings and details may be subject to change.

Glossary of Terms

Credits
You must earn a defined number of credits (aka ECTS) to complete each year of your course. You do this by taking all of its required modules as well as the correct number of optional modules to obtain that year's total number of credits.
Module
An examinable portion of a subject or course, for which you attend lectures and/or tutorials and carry out assignments. E.g. Algebra and Calculus could be modules within the subject Mathematics. Each module has a unique module code eg. MA140.
Optional
A module you may choose to study.
Required
A module that you must study if you choose this course (or subject).
Semester
Most courses have 2 semesters (aka terms) per year.

Year 1 (90 Credits)

Required IE591: Thesis (Industrial)


12 months long | Credits: 30

Candidates should agree the topic of their Research Thesis with their academic supervisor. The primary responsibility for the quality of the completed thesis lies with the candidate. The production of the thesis is intended to be a test of the candidate’s ability to conduct independent work. The role of the supervisor is to oversee and monitor the candidate’s progress in their research work and to provide general advice. In general, supervisors give guidance on the scope and planning of the research exercise and ensure that the work undertaken is neither too limited nor too ambitious in scope.
(Language of instruction: English)

Learning Outcomes
  1. Gain an in-depth knowledge of the major subject area and a deep insight into current research and development work.
  2. Be able to critically, independently and creatively identify, formulate and deal with complex issues.
  3. Be able to critically and systematically integrate knowledge.
  4. The capability to plan and use adequate methods to conduct scientific tasks and to evaluate this work
  5. Be able to find, analyse, evaluate, select and integrate information using various sources
  6. Be able to formulate research questions and hypotheses, and operationalize them
  7. Be able to create, analyse and critically evaluate different technical solutions
  8. Be able to conduct substantive arguments, critically analyse published material , and synthesise findings in a logical manner
  9. Be capable of generating solutions for real world problems
Assessments
  • Oral, Audio Visual or Practical Assessment (15%)
  • Research (85%)
Module Director
Lecturers / Tutors
The above information outlines module IE591: "Thesis (Industrial)" and is valid from 2017 onwards.
Note: Module offerings and details may be subject to change.

Required ME520: Research Methods


Semester 1 and Semester 2 | Credits: 10

The aim of this course is to equip candidates with appropriate skills to conduct autonomous research. It is essential for the effective generation, collection analysis and interpretation of scientific knowledge.
(Language of instruction: English)

Learning Outcomes
  1. Understand the process, methods and tools of conducting systems related research
  2. Plan, design, and implement a significant research project in an area of enterprise systems
  3. Formulate alternative research ideas and research questions
  4. Develop a literature review
  5. Develop a conceptual model
  6. Be familiar with alternative qualitative and qualitative research designs
  7. Design a data collection protocol
  8. Analyse and organise scientific data
  9. Synthesise, present and report research findings in an acceptable manner
Assessments
  • Continuous Assessment (100%)
Module Director
Lecturers / Tutors
Reading List
  1. "Real World Research" by Robson, C.
  2. "Research Methods for Business Students" by Saunders et al.
The above information outlines module ME520: "Research Methods" and is valid from 2015 onwards.
Note: Module offerings and details may be subject to change.

Optional IE446: Project Management


Semester 1 | Credits: 5

Project management is a means to an end and not an end in itself. The purpose of project management is to foresee or predict as many of the potential pitfalls and problems as soon as possible and to plan, organise and control activities so that the project is successfully completed in spite of any difficulties and risks. This process starts before any resources are committed, and must continue until all the work is completed. The primary aim of this course is to improve the effectiveness of people engaged in project management. It focuses on the essential concepts and practical skills required for managing projects in dynamic environments. This course aims to provide learners with a solid understanding of the fundamentals of project management and to equip them with simple yet powerful tools that will empower them to meet their full potential in the area of project management thus enabling them to implement successful projects on time, within budget and to the highest possible standard.
(Language of instruction: English)

Learning Outcomes
  1. Understand the critical influencing factors for successful project management and execution.
  2. Understand the key reasons for failure and to comprehend the impact and implications of project failure on the individual, team and organisation.
  3. Specify an effective project plan, which is consistent with the business plan of the company
  4. Demonstrate the ultimate success of the plan through successful project implementation
  5. Be capable of using appropriate tools to schedule a project and associated activities and tasks
  6. Be capable of using tools to analyse the health of a project portfolio and to select relevant projects that align with the overall portfolio.
  7. Understand the concept of cross functional team working
  8. Gain a solid grounding in transferable skills such as problem specification, team working, and the ability to synthesise and apply acquired knowledge to the solution of problems
Assessments
  • Continuous Assessment (100%)
Module Director
Lecturers / Tutors
Reading List
  1. "Project Management: A Managerial Approach" by Meredith, J.R. and Mantel, S.J.
  2. "A Guide to the Project Management Body of Knowledge (PMBOK® Guide)" by Project Management Institute
The above information outlines module IE446: "Project Management" and is valid from 2017 onwards.
Note: Module offerings and details may be subject to change.

Optional IE450: Lean Systems


Semester 1 | Credits: 5

To efficiently manage enterprise operations, firms are leveraging and deploying resources to exploit business opportunities. The module explores the challenges facing organisations in a global extended enterprise, and introduces a number of process improvement tools and techniques that businesses use to retain competitive advantage and maintain profitably. This module is designed to give students exposure to Lean Systems. The Module consists of three sections (1) Process Improvement Essentials, (2) Costs Defining Opportunities For Process Improvement and (3) Productivity: Process Improvement Opportunities . The course comprises weekly lectures across 8 or 12 weeks. 8 weeks and an Industry led Workshop (8 hour - full day) depending on student numbers and budget constraints OR 12 weeks excluding the Industry led Workshop.
(Language of instruction: English)

Learning Outcomes
  1. • Develop an understanding of and appreciate the role of Lean tools and techniques in solving real life engineering and business problems
  2. • Adopt value stream mapping to real life engineering management problems and generate solutions
  3. • Have a sound base in the current and future state mapping
  4. • Analyse data in support of lean balancing, lean layouts, action plans and contribute to decision making by advising management using lean problem solving
  5. • Generate and prioritise alternative solutions for real life operations problems
  6. • Participate in a workshop on lean gaming and project work
  7. • Present Lean solutions to operations problems
Assessments
  • Written Assessment (100%)
Module Director
Lecturers / Tutors
Reading List
  1. "Lean Six Sigma" by Donna C. Summers
    ISBN: 9780135125106.
    Publisher: Prentice Hall
The above information outlines module IE450: "Lean Systems" and is valid from 2017 onwards.
Note: Module offerings and details may be subject to change.

Optional IE309: Operations Research


Semester 1 | Credits: 5

Assessments
  • Written Assessment (100%)
Module Director
Lecturers / Tutors
The above information outlines module IE309: "Operations Research" and is valid from 2014 onwards.
Note: Module offerings and details may be subject to change.

Optional ME431: Systems Reliability


Semester 1 | Credits: 5

Reliability Engineering, Reliability Concepts and Definitions, Probabilistic Modelling, Redundancy, Reliability Block Diagrams, Reliability Modelling: Event Trees, Fault Trees, Series and Parallel Systems. Time dependent Reliability: Exponential, Weibull Distributions, Monte Carlo Methods
(Language of instruction: English)

Learning Outcomes
  1. Understand and appreciate the role of reliability analysis from an engineering and safety perspective
  2. Model engineering systems using a number of reliability modelling methods and tools
  3. Analyse the reliability of basic product/system design configurations and give appropriate recommendations for improvements
  4. Identify, process and analyze relevant engineering reliability data
Assessments
  • Written Assessment (100%)
Module Director
Lecturers / Tutors
Reading List
  1. "Reliability Engineering and Risk Analysis: A Practical Guide" by Modarres, M., Kaminsky, M., Krivtsiv, V.,
    ISBN: 978149874587.
    Publisher: Taylor & Francis
  2. "Safety-critical Computer Systems" by Neil Storey
    ISBN: 0201427877.
    Publisher: Addison-Wesley
The above information outlines module ME431: "Systems Reliability" and is valid from 2017 onwards.
Note: Module offerings and details may be subject to change.

Optional IE520: Ergonomics


Semester 1 and Semester 2 | Credits: 10

Anthropometrics, Task Analysis, Posture Assessment, Manual Handling, Work Related Musculoskeletal Disorders (WRMDs), Display Screen Equipment, Workstation Design, Hand Tools Design and Assessment, Design for Assembly, Ergonomics in the Design Process, Shift Work, Working Time, Evaluation. Introduction to Systems, Task Analysis, Vision, Information Processing, Short Term Memory, Working Memory, Long Term Memory. Selective, Divided, Focused, and Sustained Attention. Static Information, Dynamic information. Visual Capabilities.Displaying Information. Typography, Arrangements of Components. Compatibility Relationships. Situation Awareness, Allocation of Functions, Selected Topics in Human Factors, Systems and Artifact Evaluation.
(Language of instruction: English)

Learning Outcomes
  1. The ability to identify, formulate, analyse, and solve ergonomic design and assessment problems
  2. Analyse and represent tasks for inclusion in the design process
  3. To establish user requirements through the analysis of human machine systems
  4. To comprehend the measurement of body size, shape, strength and working capacity and their application to ergonomic design and assessment problems
  5. To comprehend the role of standards and regulations in ergonomics design and assessment problems
  6. To adopt a user centered approach to ergonomic design problems, particularly with respect to human machine systems
  7. To develop task analysis of existing and envisioned human machine systems
  8. The ability to utilize a selection of ergonomic tools and methods in a user centered design and assessment approach
  9. To utilize mock ups and models to explore and present solutions to ergonomics design and assessment problems
  10. Understand the role of the human in human-machine systems
  11. Understand the way in which information is processed by humans
  12. Assess and specify aspects of visual and auditory displays to improve human information processing in specified tasks
  13. Design and develop the configuration and layout of displays and controls at workstations
  14. Analyse and represent tasks for inclusion in the design process
  15. Evaluate selected human-machine systems and synthesize specifications for improved versions of them
Assessments
  • Written Assessment (60%)
  • Continuous Assessment (40%)
Module Director
Lecturers / Tutors
Reading List
  1. "Ergonomics: Foundational Principles, Applications, and Technologies" by Pamela McCauley Bush
    ISBN: 9781439804452.
    Publisher: CRC Press
  2. "Human factors in engineering and design" by Mark S. Sanders, Ernest J. McCormick
    ISBN: 007054901X.
    Publisher: McGraw-Hill
  3. "Bodyspace" by Stephen Pheasant and Christine M. Haslegrave
    ISBN: 0415285208.
    Publisher: Boca Raton, FL ; Taylor & Francis, 2005, c2006.
  4. "A guide to the ergonomics of manufacturing" by Martin Helander
    ISBN: 0748401229.
    Publisher: London ; Taylor & Francis, c1995.
  5. "Handbook of human factors and ergonomics methods" by Neville Stanton... [et al.]
    ISBN: 0415287006.
    Publisher: Boca Raton, Fla. ; CRC, c2005.
  6. "Cumulative trauma disorders" by edited by Vern Putz-Anderson
    ISBN: 9780850664058.
    Publisher: Taylor & Francis
The above information outlines module IE520: "Ergonomics" and is valid from 2017 onwards.
Note: Module offerings and details may be subject to change.

Optional MS403: IS Strategy & Planning


Semester 1 | Credits: 5

The objective of this course is to develop an understanding of the roles of information systems strategy and planning in the overall strategy of businesses. Topics may include: aligning information systems with business and organisational strategy; information systems strategy; strategic information systems planning and management; information systems value creation and appropriation, information systems and the design of work; strategic IT architectures and infrastructures; ethics in IS strategy and planning; emerging topics in information systems strategy and planning.

Learning Outcomes
  1. Discuss the roles of information systems strategy in organisational and business strategy
  2. Explain the value of strategic IS planning to organisations Critically assess IS strategy models and frameworks
  3. Critique managerial approaches to IS strategy and planning
Assessments
  • Written Assessment (100%)
Module Director
Lecturers / Tutors
The above information outlines module MS403: "IS Strategy & Planning" and is valid from 2018 onwards.
Note: Module offerings and details may be subject to change.

Optional CT511: Databases


Semester 1 | Credits: 5

This module will provide the student with the information and technical know-how to establish, manage and optimally use databases. This will be essential information for those interested in Clinical Research administration.
(Language of instruction: English)

Assessments
  • Written Assessment (100%)
Module Director
Lecturers / Tutors
The above information outlines module CT511: "Databases" and is valid from 2017 onwards.
Note: Module offerings and details may be subject to change.

Optional ME432: Technology Innovation & Entrepreneurship


Semester 1 | Credits: 5

The module covers a broad range of topics that critically affect the successful identification and commercialisation of technologies. It is designed to help students develop strong conceptual foundations for understanding and exploiting technological innovation and entrepreneurship. More specifically, it aims to equip students with an understanding of the technology innovation life cycle and the key issues involved in entrepreneurship and new venture creation. It introduces concepts and frameworks to create, commercialise and capture value from technology-based products and services. It will provide students with a comprehensive toolbox to enable them to identify opportunities, develop feasibility studies and business plans in order to develop and manage innovation throughout the product lifecycle and exploit a new technological venture.
(Language of instruction: English)

Learning Outcomes
  1. Understand the critical influencing factors for successful technology development and execution
  2. Be capable of using appropriate methods and tools to develop and exploit a technology
  3. Gain a solid grounding in transferable skills such as creative thinking, problem specification, team working, and the ability to synthesise and apply acquired knowledge to solve real world problems
  4. Demonstrate effective oral and written skills
  5. Assess the consequences of different courses of action
  6. Take practical decisions and evaluate the results
Assessments
  • Continuous Assessment (100%)
Module Director
Lecturers / Tutors
Reading List
  1. "product Design & Development" by Ulrich, K.T. and Eppinger, S. D.
    Publisher: McGraw Hill
  2. "Biodesign: The Process of Innovating Medical Technologies" by Zenios, S. Makower, J. Yock, P.
    Publisher: Cambridge University press
The above information outlines module ME432: "Technology Innovation & Entrepreneurship" and is valid from 2015 onwards.
Note: Module offerings and details may be subject to change.

Optional ME5102: Quality Systems


Semester 1 | Credits: 5

Quality management systems, Six sigma philosophy, basic statistical quality control, tools for quality improvement, process capability analysis, Kaizen, quality costs, quality auditing, Quality in a regulated sector e.g. Medical Devices.
(Language of instruction: English)

Learning Outcomes
  1. State the elements and documentation requirements, and be able to develop a quality management system.
  2. State the Six Sigma philosophy and how it is applied in a business.
  3. Design Statistical Quality Control charts for attributes and variables and develop a quality improvement programme.
  4. Appreciate the role of audit programs and benchmarking.
  5. State the quality system requirements of a regulated manufacturing environment such as medical device manufacturing e.g. ISO13485 or FDA QSRs.
  6. Develop a quality cost management program.
  7. Familiarity with the requirements of ISO9001.
  8. Use the basic tools of quality management.
Assessments
  • Written Assessment (80%)
  • Continuous Assessment (20%)
Module Director
Lecturers / Tutors
Reading List
  1. "ISO 9001, ISO13485" by ISO
The above information outlines module ME5102: "Quality Systems" and is valid from 2017 onwards.
Note: Module offerings and details may be subject to change.

Optional MS5107: Business Modelling and Analytics


Semester 1 | Credits: 5

The objective of this module is to develop students understanding of the role of business analytics in decision making and equip them with solutions used to create scenarios, understand realities, and predict future states. The module focuses on three types of business analytics: descriptive analytics used to gain insight from historical data; predictive analytics used to forecast future business performance; and prescriptive analytics used to recommend decisions using optimisation, simulation etc. Topics use real business cases to illustrate the application and interpretation of these methods.
(Language of instruction: English)

Learning Outcomes
  1. Demonstrate knowledge of the role of business analytics in a modern business intelligence environment
  2. Display a clear understanding of the BA modelling stages and apply them in practice
  3. Demonstrate theoretical knowledge in areas, such as math modelling, operations research, machine learning, data mining, etc
  4. Perform data processing and analysis for the purposes of BA.
  5. Demonstrate skills in using MS Excel Solver to build optimisation models of business cases and interpret results.
  6. Apply advanced tools such as Analytic Solver Platform and XLMiner in order to build various business models and explain what is happening, by the means of data analysis, and what will happen next by the means of predictive models.
Assessments
  • Written Assessment (60%)
  • Continuous Assessment (40%)
Module Director
Lecturers / Tutors
Reading List
  1. "Data Mining for Business Intelligence" by Galit Shmueli,Nitin R. Patel,Peter C. Bruce
    ISBN: 9780470526828.
    Publisher: Wiley
  2. "Business Intelligence and Analytics" by Ramesh Sharda,Dursun Delen,Efraim Turban,J. E. Aronson,Ting-Peng Liang
    ISBN: 0133050904.
    Publisher: Pearson Higher Ed
The above information outlines module MS5107: "Business Modelling and Analytics" and is valid from 2018 onwards.
Note: Module offerings and details may be subject to change.

Optional ST1100: Engineering Statistics


Semester 1 | Credits: 5

This course presents an introduction to the basic concepts of probability and statistical with an emphasis on engineering applications. Students learn to think statistically while learning standard techniques for statistical analysis of data (such as calculating parameter estimates and confidence intervals, working with linear regression models) and aspects of statistical design
(Language of instruction: English)

Learning Outcomes
  1. Identify and use the basic rules of probability, including independence and conditioning to calculate probabilities of various events.
  2. Calculate expectations and variances of basic probability distributions and determine expectations and variances of linear combinations of independent random variables.
  3. Determine appropriate probability distributions to be used as models for different situations.
  4. Use the normal distribution for direct probability calculations and as an approximation
  5. Generate and know how to interpret graphical summaries for a range of different data types.
  6. Calculate summary statistics for discrete and continuous data and interpret them .
  7. Calculate estimates for means and proportions and their confidence intervals
  8. Formulate and apply hypothesis tests for continuous data.
  9. Formulate problems in terms of basic linear regression.
  10. Calculate and interpret the line of best linear fit and apply suitable hypothesis tests on the regression coefficients.
  11. Design simple experiments using suitable sampling schemes
Assessments
  • Written Assessment (80%)
  • Continuous Assessment (20%)
Module Director
Lecturers / Tutors
Reading List
  1. "Probability & Statistics for Engineers & Scientists" by Walpole & Myers
    Publisher: Pearson
The above information outlines module ST1100: "Engineering Statistics" and is valid from 2017 onwards.
Note: Module offerings and details may be subject to change.

Optional ME4105: Safety Engineering


Semester 1 | Credits: 5

Introduction to Safety Engineering
(Language of instruction: English)

Learning Outcomes
  1. • _Recognise and discuss basic safety terminology and concepts as they pertain to occupational health & safety and environmental safety. • _Explain the multifactorial theory of accident causation. • _Describe and critique models used to explain the causes of accidents and to promote prevention. • _Appraise the role of risk perception in accident causation and assess the principles underlying behavior. • _Discover and recommend methodologies to assess the human contribution to risk. • _Perform risk assessments using validated methodologies and judge their effective application to safety systems. • _Summarise and justify the cost and acceptability of risk. • _Assess the hazards and r
Assessments
  • Written Assessment (100%)
Module Director
Lecturers / Tutors
The above information outlines module ME4105: "Safety Engineering" and is valid from 2017 onwards.
Note: Module offerings and details may be subject to change.

Optional IE345: Logistics and Transportation


Semester 2 | Credits: 5

Assessments
  • Written Assessment (100%)
Module Director
Lecturers / Tutors
The above information outlines module IE345: "Logistics and Transportation" and is valid from 2014 onwards.
Note: Module offerings and details may be subject to change.

Optional ME572: Human Reliability


Semester 2 | Credits: 5

Nature of Human Error, Categories of Human Error, Modelling Human Error. Human Reliability in Risk Assessment. The Human Reliability Assessment Process; human error analysis, human-error quantification, impact assessment, human-error risk reduction. Human Error Analysis Methods: SHERPA, SPEAR, MURPHY DIAGRAMS, HEART, TEAM-BASED HEART, THERP, SPAR-H. Systems Failures and Disaster Case Studies
(Language of instruction: English)

Learning Outcomes
  1. Comprehend the concept of human error and how it is categorised
  2. Comprehend the role of human reliability in safety-related systems development
  3. Identify and distinguish between different categories of human errors or potential human errors in safety related systems
  4. Describe and analyse industrial accidents and incidents in order to gain an understanding of underlying causes, in particular those related to human activities.
  5. Comprehend and understand how human error is modeled and to analyse various scenarios using human error modeling methods
  6. Analyse work activities (industrial and healthcare) for human error potential using established human error analysis methods and analytical techniques
Assessments
  • Written Assessment (60%)
  • Continuous Assessment (40%)
Module Director
Lecturers / Tutors
Reading List
  1. "The blame machine" by R. B. Whittingham
    ISBN: 0750655100.
    Publisher: Oxford ; Elsevier/Butterworth-Heinemann, 2004.
  2. "Human factors methods" by Neville A. Stanton ... [et al.].
    ISBN: 9781409457541.
    Publisher: Aldershot, Hants, England; Ashgate
The above information outlines module ME572: "Human Reliability" and is valid from 2017 onwards.
Note: Module offerings and details may be subject to change.

Optional IE319: Operations Strategy


Semester 2 | Credits: 5

Assessments
  • Written Assessment (100%)
Module Director
Lecturers / Tutors
The above information outlines module IE319: "Operations Strategy" and is valid from 2014 onwards.
Note: Module offerings and details may be subject to change.

Optional ME5100: Operations Management


Semester 2 | Credits: 5

Introduction to operations management, design of products & services, lean and JIT manufacturing systems, facility design & layout, forecasting, capacity planning and aggregate production planning, inventory management, enterprise resource planning, scheduling.
(Language of instruction: English)

Learning Outcomes
  1. Be able to state the role of operations engineering in a business from a product/service and process perspective.
  2. For various product and process configurations, be able to design a lean/JIT manufacturing system to produce products or services.
  3. Be capable of solving operations oriented problems in an industrial setting with an emphasis on productivity, process planning, scheduling, inventory management, forecasting.
  4. Identify the main stages in service design.
  5. Identify the main stages in product design and development.
Assessments
  • Written Assessment (70%)
  • Continuous Assessment (30%)
Module Director
Lecturers / Tutors
Reading List
  1. "Operations management along the supply chain," by Russell & Taylor, Wiley
The above information outlines module ME5100: "Operations Management" and is valid from 2015 onwards.
Note: Module offerings and details may be subject to change.

Optional MS807: Information Systems Management


Semester 2 | Credits: 5

Learning Outcomes
  1. Identify the roles of those who manage IS within organisations
  2. Understand IS within the organisational context and organisational change
  3. Explain the impact of IS within organisations
  4. Describe IS and the changing competitive environment
  5. Explain how e-Commerce enables new ways of doing business
  6. Discuss how the IS function is managed in organisations
  7. Discuss IT Governance
  8. Discuss how IS is funded within organisations
  9. Discuss the benefits and pitfalls of outsourcing
  10. Describe IT trends of managerial interest
Assessments
  • Written Assessment (100%)
Module Director
Lecturers / Tutors
The above information outlines module MS807: "Information Systems Management" and is valid from 2018 onwards.
Note: Module offerings and details may be subject to change.

Optional MS803: Business Data Communications


Semester 2 | Credits: 5


(Language of instruction: English)

Learning Outcomes
  1. To describe the fundamentals of data communications techniques and practices used by businesses today
  2. Demonstrate understanding of manager role in developing a communication infrastructure
  3. Recognise a variety of Internet technologies and to relate them to a business environment
  4. Recognise common internet communication services, associated protocols, and describe their correct usage
  5. Present (in oral form) the relative advantages and limitations of network and communication technologies and configurations
Assessments
  • Written Assessment (100%)
Module Director
Lecturers / Tutors
The above information outlines module MS803: "Business Data Communications" and is valid from 2018 onwards.
Note: Module offerings and details may be subject to change.

Further Education

Many of our graduates have been successful in securing scholarships to conduct research at PhD level.

Why Choose This Course?

Career Opportunities

Our graduates have been very successful in securing high quality employment.  Your next job title could be: Operations Manager; Entrepreneur, Product Manager, Training Manager, Product/Process Engineer, Quality Manager, Systems Analyst.

What some of our employers say:

Alan Phelan | CEO Nucleus VP Group

We have engaged and recruited graduates and found them to be great problem solvers and critical thinkers. Their background in lean systems has been very applicable to a number of our companies where they have helped to implement sound systems and processes which have allowed our subsidiaries to scale rapidly.

Martin Conroy | Senior Director Medtronic

The Enterprise systems programme at NUI Galway focuses on providing the necessary knowledge to be excellent systems thinkers. Graduates have the ability to understand people; process as well as technology related issues in an organisation. The programme encourages candidates to analyse problems using scientific methods and to generate innovative and effective solutions to these problems. Furthermore graduates are given real skills such as the ability to work in a team and communicate well. Such skills are essential to fast moving high tech companies like ours.

David Ronan | Director of Technical Operations Vascular Solutions Zerusa

The Masters of Applied Science programme contains essential skills for the engineers, managers and entrepreneurs of the future.  A broad range of skills, theory and practical applications are taught in a highly customisable way by experts in their particular fields, giving graduates a clear advantage in a changing work environment which values attitude, aptitude and experience as much as it values qualifications. 'Innovation' as a discipline can't be taught - it must be grown organically and this programme is designed to inspire students to solve challenges with an innovation mindset, to look for alternative solutions and be able to assess and apply them with a strategic, systems approach.  I see this programme being of immense value in developing graduates who can deliver real value for companies and at the same time building strong careers for themselves. 

Martin Keegan | Techical Operations Director Novate Medical

Having worked in the Medical Device, Fleet Telematics and Telecommunications industries, the Masters of Applied Science (Enterprise Systems) at NUI Galway is a great addition to those pursuing a management opportunity in Operations or Project/Program management.


What some of our international advisors say:

Prof. Dr.-Ing. Habil. Ralf Riedel Chemnitz University Germany

The Enterprise Systems program at NUI Galway is well structured and at a high level of quality in terms of taught content and teaching methodology. In the program a strong link between theory and practical application in labs and case studies is emphasised which facilitates the thorough understanding of theoretical concepts and the application of appropriate methods for a multitude of real world problems. The great extent of team-oriented project work enhances the social competencies of the students. A structured advice and individual coaching helps for building up methodological and communication skills. Further, by the applied research methods students are motivated to think critically and to adopt a holistic perspective. The Enterprise Systems program develops applicable and relevant competencies and hereby, addresses very well the needed skills of future engineers.


What some of our graduates say:

Paul Gleeson | Accenture

The programme is well delivered as there is a nice balance between practical and classroom based learning. I found the lecturers to be some of the most helpful and engaging people I have come across during my studies as they take a hand on approach to getting students involved in class discussions and debates. All in all, the programme is an excellent foundation for finding future employment opportunities due to the high level of personal and professional development you will obtain. It helped open up numerous career opportunities for me so it is a programme that I would highly recommend.

Paul McCormack| Allergan

I undertook the Masters of Applied Science in NUI Galway with the aim of acquiring new skills and knowledge to aid in my future career progression. The course was challenging and required high standards throughout. While striving to meet these standards I believe I have greatly improved my knowledge of business systems and gained valuable new skills. I believe the lessons learnt during the course will facilitate my personal and professional development into the future.

Damien Coleman | Baxter Healthcare

I would highly recommend doing the Masters of Applied Science (Enterprise Systems) at NUI, Galway. The wide variety of subjects offered allowed me to tailor the course to suit my needs and help me progress in Baxter Healthcare. I found the course to be challenging but extremely enjoyable and it helped me to gain deeper understanding of subjects such as Operations, Quality, Lean Manufacturing and Logistics. The standard of the lectures and guest speakers were second to none. This coupled with the energizing discussions and refreshing workshops has resulted in ensuring my future will be all the better for completing this masters.

Conor Hynes | Lean Project Manager NTMA / NAMA

The Master of Applied Science (Enterprise System) has equipped me with the tools and traits required to succeed. From the outset the structure was tailored to the needs of individual students but was delivered in a very organised and coherent fashion. For me, the influence of both the lecturers and guest lecturers was the most significant benefit of the course. The enthusiasm, ambition and drive they showed was infectious and was the catalyst I required to begin my career.

Alan Fahey | Project Cost Estimator at Reidy Contracting Group, New York

I would highly recommend doing the Masters of Applied Science (Enterprise Systems) at NUI, Galway. The skills learned from this course can translate to working in almost any industry. When coming to the U.S in search of employment I found that having completed the course I could apply for almost any entry level job. Modules such as Lean Systems, Operations Management, and Quality Management can give you a new way at looking at problems and improving business. The lecturers I had were excellent with a great deal of industry experience and there was never an issue when asking for help or advice. Overall the Masters of Applied Science (Enterprise Systems) is a highly rewarding course that opens the door to a world of opportunities.

Caimin Morey| Zimmer

The Masters of Applied Science (Enterprise systems) has transformed my career. Before the course had ended I had secured full time employment in the medical device sector, in a role where I was directly applying what I had learned. The modules offered are specific, challenging, relevant to industry and delivered in state of the art facilities. Furthermore the flexible structure allows you to tailor the course to suit your own needs and desired career path. I found the lecturers remarkable, they were always available and willing to help, and they took a personal interest in seeing me develop both professionally and personally. I could not recommend this masters and NUI Galway highly enough!

Who’s Suited to This Course

Learning Outcomes

 

Work Placement

Study Abroad

Related Student Organisations

Course Fees

Fees: EU

€7,215 p.a. 2019/20

Fees: Tuition

€6,991 p.a. 2019/20

Fees: Student levy

€224 p.a. 2019/20

Fees: Non EU

€17,750 p.a. 2019/20

For EU students only 2019/20
1APE1 full time EU €7,215;
1APE2; 2APE2 part-time EU €3,665 p.a.

Postgraduate students in receipt of a SUSI grant [for full time programmes only]—please note an F4 grant is where SUSI will pay €2,000 towards your tuition.  You will be liable for the remainder of the total fee.  An F5 grant is where SUSI will pay TUITION up to a maximum of €6,270.  SUSI will not cover the student levy of €224.

Find out More

Dr. Kathryn Cormican
Programme Director
College of Engineering & Informatics
NUI Galway
T 353 91 493 975
E kathryn.cormican@nuigalway.ie

Downloads

  • Postgraduate Taught Prospectus 2019

    Postgraduate Taught Prospectus 2019 PDF (12.6 MB)