MApplSc (Enterprise Systems)—FT and PT

Program Overview

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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.

Scholarships available

Find out about our Postgraduate Scholarships here.

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Applications are made online via the University of Galway Postgraduate Applications System.

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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.

Program Outline

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.

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Curriculum Information

Curriculum information relates to the current academic year (in most cases).

Course and module offerings and details may be subject to change.

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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.

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Year 1 (90 Credits)

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Required

IE591:

Thesis (Industrial)

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IE591: Thesis (Industrial)

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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)

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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

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Assessments

This module's usual assessment procedures, outlined below, may be affected by COVID-19 countermeasures. Current students should check Blackboard for up-to-date assessment information.

Oral, Audio Visual or Practical Assessment (15%)

Research (85%)

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Module Director

KATHRYN CORMICAN:

Research Profile

| Email

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Lecturers / Tutors

KATHRYN CORMICAN:  Research Profile

MARY DEMPSEY:  Research Profile

PAT DONNELLAN:  Research Profile

ENDA FRANCIS FALLON:  Research Profile

MARTINA KELLY:  Research Profile

DAVID O'SULLIVAN:  Research Profile

The above information outlines module IE591: "Thesis (Industrial)" and is valid from 2017 onwards.

Note: Module offerings and details may be subject to change.

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Required

ME520:

Research Methods

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ME520: Research Methods

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Semester 1 and Semester 2 | Credits: 10

The aim of this module 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)

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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

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Assessments

This module's usual assessment procedures, outlined below, may be affected by COVID-19 countermeasures. Current students should check Blackboard for up-to-date assessment information.

Continuous Assessment (100%)

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Module Director

KATHRYN CORMICAN:

Research Profile

| Email

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Lecturers / Tutors

KATHRYN CORMICAN:  Research Profile

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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 2019 onwards.

Note: Module offerings and details may be subject to change.

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Optional

IE446:

Project Management

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IE446: Project Management

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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)

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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

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Assessments

This module's usual assessment procedures, outlined below, may be affected by COVID-19 countermeasures. Current students should check Blackboard for up-to-date assessment information.

Continuous Assessment (100%)

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Module Director

KATHRYN CORMICAN:

Research Profile

| Email

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Lecturers / Tutors

KATHRYN CORMICAN:  Research Profile

GRÁINNE MORAHAN:  Research Profile

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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 2019 onwards.

Note: Module offerings and details may be subject to change.

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Optional

IE450:

Lean Systems

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IE450: Lean Systems

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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)

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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

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Assessments

This module's usual assessment procedures, outlined below, may be affected by COVID-19 countermeasures. Current students should check Blackboard for up-to-date assessment information.

Written Assessment (100%)

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Module Director

NOEL HARRISON:

Research Profile

| Email

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Lecturers / Tutors

MARY DEMPSEY:  Research Profile

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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.

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Optional

IE309:

Operations Research

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IE309: Operations Research

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Semester 1 | Credits: 5

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Assessments

This module's usual assessment procedures, outlined below, may be affected by COVID-19 countermeasures. Current students should check Blackboard for up-to-date assessment information.

Written Assessment (100%)

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Module Director

MARY DEMPSEY:

Research Profile

| Email

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Lecturers / Tutors

MARY DEMPSEY:  Research Profile

The above information outlines module IE309: "Operations Research" and is valid from 2014 onwards.

Note: Module offerings and details may be subject to change.

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Optional

IE520:

Ergonomics

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IE520: Ergonomics

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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)

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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

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Assessments

This module's usual assessment procedures, outlined below, may be affected by COVID-19 countermeasures. Current students should check Blackboard for up-to-date assessment information.

Written Assessment (60%)

Continuous Assessment (40%)

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Module Director

ENDA FRANCIS FALLON:

Research Profile

| Email

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Lecturers / Tutors

ENDA FRANCIS FALLON:  Research Profile

WILLIAM KELLY:  Research Profile

BONAVENTURE KENNEDY:  Research Profile

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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.

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Optional

MS403:

IS Strategy & Planning

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MS403: IS Strategy & Planning

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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.

(Language of instruction: English)

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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
3. Critically assess IS strategy models and frameworks
4. Critique managerial approaches to IS strategy and planning

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Assessments

This module's usual assessment procedures, outlined below, may be affected by COVID-19 countermeasures. Current students should check Blackboard for up-to-date assessment information.

Written Assessment (60%)

Continuous Assessment (40%)

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Module Director

MELISSA O'HEA:

Research Profile

| Email

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Lecturers / Tutors

KIERAN CONBOY:  Research Profile

SHARON GILMARTIN:  Research Profile

MELISSA O'HEA:  Research Profile

CHRISTINA MULGANNON:  Research Profile

The above information outlines module MS403: "IS Strategy & Planning" and is valid from 2020 onwards.

Note: Module offerings and details may be subject to change.

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Optional

CT511:

Databases

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CT511: Databases

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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)

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Assessments

This module's usual assessment procedures, outlined below, may be affected by COVID-19 countermeasures. Current students should check Blackboard for up-to-date assessment information.

Written Assessment (100%)

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Module Director

AIDEEN O'DOHERTY:

Research Profile

| Email

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Lecturers / Tutors

PAT BYRNE:  Research Profile

MARTINA FOX:  Research Profile

ATTRACTA BRENNAN:  Research Profile

SONJA KHAN:  Research Profile

The above information outlines module CT511: "Databases" and is valid from 2017 onwards.

Note: Module offerings and details may be subject to change.

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Optional

ME432:

Technology Innovation & Entrepreneurship

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ME432: Technology Innovation & Entrepreneurship

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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)

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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

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Assessments

This module's usual assessment procedures, outlined below, may be affected by COVID-19 countermeasures. Current students should check Blackboard for up-to-date assessment information.

Continuous Assessment (100%)

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Module Director

KATHRYN CORMICAN:

Research Profile

| Email

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Lecturers / Tutors

KATHRYN CORMICAN:  Research Profile

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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 2019 onwards.

Note: Module offerings and details may be subject to change.

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Optional

MS5107:

Business Modelling and Analytics

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MS5107: Business Modelling and Analytics

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Semester 1 | Credits: 5

The objective of this course 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 course 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. Students are introduced to core concepts and technologies of business analytics, such as modelling, analysis, optimisation; data exploration and data mining; forecasting models; decision trees; neural networks; clustering techniques; etc. The course uses real business cases, to illustrate the application and interpretation of these methods. An important feature of the course is the use of MS Excel, an environment familiar to business analysts. All discussed models are provided by the Excel add-ins Analytic Solver Platform and XLMiner plus illustrative examples.

(Language of instruction: English)

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Learning Outcomes

1. Perform comprehensive analysis of business cases and build models in order to explain: What is happening, by the means of data analysis, modelling, and data mining; What will happen next, by the means of predictive techniques and machine learning; What is the best that can happen by the means of optimisation and simulation techniques.
2. Demonstrate practical skills in using MS Excel and advanced business analytics add-ins, such as Analytic Solver Platform and XLMiner.
3. Demonstrate theoretical knowledge in areas, such as maths modelling, operations research, machine learning, data mining, statistics, etc.

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Assessments

This module's usual assessment procedures, outlined below, may be affected by COVID-19 countermeasures. Current students should check Blackboard for up-to-date assessment information.

Continuous Assessment (50%)

Department-based Assessment (50%)

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Module Director

MELISSA O'HEA:

Research Profile

| Email

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Lecturers / Tutors

SHARON GILMARTIN:  Research Profile

ANATOLI NACHEV:  Research Profile

MELISSA O'HEA:  Research Profile

CHRISTINA MULGANNON:  Research Profile

The above information outlines module MS5107: "Business Modelling and Analytics" and is valid from 2022 onwards.

Note: Module offerings and details may be subject to change.

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Optional

ME4105:

Safety Engineering

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ME4105: Safety Engineering

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Semester 1 | Credit