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MSc Mechanical Engineering with Management

Academic Year 2020/21

A programme specification is required for any programme on which a student may be registered. All programmes of the University are subject to the University's Quality Assurance and Enhancement processes as set out in the DASA Policies and Procedures Manual.

Programme Title

MSc Mechanical Engineering with Management

Final Award
(exit route if applicable for Postgraduate Taught Programmes)

Master of Science

Programme Code

MEE-MSC-MA

UCAS Code

HECoS Code

100089

ATAS Clearance Required

Yes

Health Check Required

No

Portfolio Required

Interview Required

Mode of Study

Full Time

Type of Programme

Postgraduate

Length of Programme

1 Academic Year(s)

Total Credits for Programme

180

Exit Awards available

INSTITUTE INFORMATION

Teaching Institution

Queen's University Belfast

School/Department

Mechanical & Aerospace Engineering

Quality Code
https://www.qaa.ac.uk/quality-code

Higher Education Credit Framework for England
https://www.qaa.ac.uk/quality-code/higher-education-credit-framework-for-england

Level 7

Subject Benchmark Statements
https://www.qaa.ac.uk/quality-code/subject-benchmark-statements

The Frameworks for Higher Education Qualifications of UK Degree-Awarding Bodies
https://www.qaa.ac.uk/docs/qaa/quality-code/qualifications-frameworks.pdf

Engineering (2015)

Accreditations (PSRB)

Institute of Mechanical Engineers

Date of most recent Accreditation Visit 03-04-19

REGULATION INFORMATION

Does the Programme have any approved exemptions from the University General Regulations
(Please see General Regulations)

No

Programme Specific Regulations

Progression

Students failing more than 20 CATS points worth of taught modules will not normally be permitted to progress on the MSc programme and may be awarded a PG Certificate or required to withdraw from the University.

Students are normally required to pass all taught modules before beginning project work. Project work undertaken while carrying failed modules is done at the student's own risk.

Transfer to the internship programme

Students may transfer to the corresponding internship programme if they have secured an appropriate one-year placement by 31st August.

Students with protected characteristics

N/A

Are students subject to Fitness to Practise Regulations

(Please see General Regulations)

No

EDUCATIONAL AIMS OF PROGRAMME

The programme aims to produce graduates who:

• Are pragmatic, taking a systematic approach and the logical and practical steps necessary for, often complex, concepts to become reality.

• Seek to achieve sustainable solutions to problems and have strategies for being creative, innovative and overcoming difficulties by employing their skills, knowledge and understanding in a flexible manner.

• Seek to achieve sustainable solutions to problems and have strategies for being creative, innovative and overcoming difficulties by employing their skills, knowledge and understanding in a flexible manner.

• Skilled at solving problems by applying their numerical, computational, analytical and technical skills, using appropriate tools.

• Risk, cost and value-conscious, and aware of their ethical, social, cultural, environmental, health and safety, and wider professional responsibilities.

• Are familiar with the nature of business and enterprise in the creation of economic and social value.

• Appreciate the global dimensions of engineering, commerce and communication.

• Are able to formulate and operate within appropriate codes of conduct, when faced with an ethical issue.

• Professional in their outlook, capable of team working, effective communicators, and able to exercise responsibility and sound management approaches.

LEARNING OUTCOMES

Learning Outcomes: Cognitive Skills

On the completion of this course successful students will be able to:

EA6M: Apply appropriate engineering analysis methods for solving complex problems in engineering and to assess their limitations.

Teaching/Learning Methods and Strategies

Case study readings, lectures, seminars, and case study/practical sessions on analysis methods in engineering management, research and data analytics, energy systems, computer-aided engineering, manufacturing technology, and individual project.

Methods of Assessment

Project dissertation, group project and case study/practical assignment deliverables discussing and using methods in engineering management, research and data analytics, energy systems, computer-aided engineering, manufacturing technology, and individual project.

EA5m: Appraise new and emerging technologies for engineering applications.

Teaching/Learning Methods and Strategies

Case study readings, lectures, seminars, and case study/practical sessions on the use of fundamental knowledge from engineering management, research and data analytics, energy systems, computer-aided engineering, and manufacturing technology to investigate new and emerging technologies.

Methods of Assessment

Case study assignment deliverables discussing and using knowledge from engineering management, research and data analytics, energy systems, computer-aided engineering, and manufacturing technology to investigate new and emerging technologies.

EA7M: Collect and analyse research data, using appropriate engineering analysis tools to tackle unfamiliar problems, such as those with uncertain or incomplete data or specifications, by the appropriate innovation, use or adaptation of engineering analytical methods.

Teaching/Learning Methods and Strategies

Case study readings, lectures, seminars, and case study/practical sessions on data collection and use of analysis methods in engineering management, research and data analytics, energy systems, computer-aided engineering, manufacturing technology, and individual project to collect and analyse data and unfamiliar problems.

Methods of Assessment

Project dissertation, case study/practical assignment deliverables discussing and using methods in engineering management, research and data analytics, energy systems, computer-aided engineering, manufacturing technology, and individual project to collect and analyse data and unfamiliar problems.

Learning Outcomes: Knowledge & Understanding

On the completion of this course successful students will be able to:

SM7M: Demonstrate a comprehensive understanding of the scientific principles of the specialisation.

Teaching/Learning Methods and Strategies

Online content, case study readings, lectures, seminars, and case study/practical sessions on the scientific principles in research and data analytics, energy systems, computer-aided engineering, and manufacturing technology.

Methods of Assessment

Formative assessments, case study/practical assignment deliverables discussing and applying the scientific principles in research and data analytics, energy systems, computer-aided engineering, and manufacturing technology.

SM8M: Identify and assess current scientific problems and/or new insights at the forefront of the specialisation.

Teaching/Learning Methods and Strategies

Case study readings, lectures, seminars, and case study/practical sessions on the current problems/insights in research and data analytics, energy systems, computer-aided engineering, and manufacturing technology.

Methods of Assessment

Case study/practical assignment deliverables discussing and applying the current problems/insights in research and data analytics, energy systems, computer-aided engineering, and manufacturing technology.

SM9M: Critically evaluate fundamental mathematics and science concepts relevant to the discipline, and some from outside the discipline, and apply them effectively in engineering projects.

Teaching/Learning Methods and Strategies

Online content, case study readings, lectures, seminars, and case study/practical sessions on relevant concepts and their critical use in engineering management, research and data analytics, business and enterprise, energy systems, computer-aided engineering, manufacturing technology, and individual project.

Methods of Assessment

Project dissertation, formative assessments, case study/practical assignment deliverables discussing and applying relevant concepts for use in engineering management, research and data analytics, business and enterprise, energy systems, computer-aided engineering, manufacturing technology, and individual project.

D9M: Analyse and interpret information that may be incomplete or uncertain, quantify the effect of this on design of products, processes, or systems and, where appropriate, use theory or experimental research to mitigate deficiencies.

Teaching/Learning Methods and Strategies

Case study readings, lectures, seminars, and case study/practical sessions on knowledge and skills in energy systems, computer-aided engineering, and manufacturing technology to quantify the effect of uncertainty on the design of products, processes, or systems.

Methods of Assessment

Case study/practical assignment deliverables and group reports discussing and using knowledge in energy systems, computer-aided engineering, and manufacturing technology to quantify the effect of uncertainty on the design of products, processes, or systems.

D10M: Demonstrate a comprehensive understanding of design processes and methodologies, and apply and adapt them in unfamiliar situations.

Teaching/Learning Methods and Strategies

Case study readings, lectures, seminars, and case study/practical sessions on use of processes and methods in computer-aided engineering and manufacturing technology to design products, processes, or systems.

Methods of Assessment

Case study assignment deliverables discussing and using processes and methods in computer-aided engineering and manufacturing technology to design products, processes, or systems.

EL10M: Evaluate engineering business practices, their limitations, and explain how these may be applied in the context of the particular specialization.

Teaching/Learning Methods and Strategies

Case study readings, lectures, seminars, and case study/practical sessions on management and business practices in engineering management and business and enterprise.

Methods of Assessment

Case study/practical assignment deliverables and group reports discussing and applying management and business practices in engineering management and business and enterprise.

P12M: Demonstrate advanced level knowledge and understanding of a wide range of engineering materials and components.

Teaching/Learning Methods and Strategies

Case study readings, lectures, seminars, and case study/practical sessions on materials and components in computer-aided engineering and manufacturing technology.

Methods of Assessment

Case study assignment deliverables discussing and using knowledge of materials and components in computer-aided engineering and manufacturing technology.

P9M: Review current engineering practice and their limitations, and demonstrate appreciation of likely new developments.

Teaching/Learning Methods and Strategies

Case study readings, lectures, seminars, and case study/practical sessions on current practice and new developments in engineering management, energy systems, computer-aided engineering, and manufacturing technology.

Methods of Assessment

Case study/practical assignment deliverables discussing and applying current practice and new developments in engineering management, energy systems, computer-aided engineering, and manufacturing technology.

Learning Outcomes: Subject Specific

On the completion of this course successful students will be able to:

D11M: Design innovative products, components or processes to fulfil new needs.

Teaching/Learning Methods and Strategies

Case study readings, lectures, seminars, and case study/practical sessions on design in computer-aided engineering and manufacturing technology.

Methods of Assessment

Case study/practical assignment deliverables generating design in computer-aided engineering and manufacturing technology to design products, processes, or systems.

EL8M: Discuss the need for a high level of professional and ethical conduct in engineering.

Teaching/Learning Methods and Strategies

Case study readings, lectures, seminars, and case study sessions on professional and ethical conduct in business and entrepreneurship, and research and data analytics.

Methods of Assessment

Case study assignment deliverables discussing professional and ethical conduct in business and entrepreneurship, and research and data analytics.

EL9M: Discuss how engineers need to take account of the commercial and social contexts in which they operate.

Teaching/Learning Methods and Strategies

Case study readings, lectures, seminars, and case study assignments including the commercial and/or social context relevant to engineering management, business and entrepreneurship, and research and data analytics, energy systems, manufacturing technology, and individual project.

Methods of Assessment

Project dissertation, case study assignment deliverables and group reports discussing the commercial and/or social context relevant to engineering management, business and entrepreneurship, research methods, energy systems, manufacturing technology, and individual project.

EL11M: Apply quantitative techniques to promote sustainable development within engineering activities.

Teaching/Learning Methods and Strategies

Case study readings, lectures, seminars, and case study/practical sessions on sustainable development and techniques in energy systems, and manufacturing technology.

Methods of Assessment

Case study/practical assignment deliverables discussing sustainability and applying techniques in energy systems, and manufacturing technology.

EL12M: Describe relevant regulatory requirements governing engineering activities in the context of the particular specialization.

Teaching/Learning Methods and Strategies

Case study readings, lectures, seminars, and case study assignments on regulatory requirements in engineering management, business and entrepreneurship, and energy systems.

Methods of Assessment

Case study assignment deliverables discussing regulatory requirements in engineering management, business and entrepreneurship, and energy systems.

EL13M: Evaluate risk issues in the context of the particular specialisation, including health & safety, environmental and commercial risk.

Teaching/Learning Methods and Strategies

Case study readings, lectures, seminars, and case study/practical sessions on evaluation of risk issues in engineering management business and enterprise, and individual project.

Methods of Assessment

Project dissertation, case study/practical assignment deliverables and group reports discussing and evaluating risk issues in engineering management, business and entrepreneurship, and individual project.

P10m: Apply engineering techniques to take account of a range of commercial and industrial constraints.

Teaching/Learning Methods and Strategies

Case study readings, lectures, seminars, and case study assignments on commercial and industrial constraints in engineering management, business and entrepreneurship, energy systems, manufacturing technology, and individual project.

Methods of Assessment

Project dissertation, case study assignment deliverables discussing commercial and industrial constraints in engineering management, business and entrepreneurship, and energy systems and manufacturing technology and individual project.

P11m: Compare different roles within an engineering team and exercise initiative and personal responsibility, which may be as a team member or leader.

Teaching/Learning Methods and Strategies

Case study/practical sessions requiring teams consisting of different roles in engineering management, business and entrepreneurship, and computer-aided engineering and manufacturing technology.

Methods of Assessment

Case study/practical deliverables and group reports requiring team work in engineering management, business and entrepreneurship, and computer-aided engineering and manufacturing technology.

Learning Outcomes: Transferable Skills

On the completion of this course successful students will be able to:

G1: Solve problems

Teaching/Learning Methods and Strategies

Application of materials from lectures and seminars to case study/practical assignments in all modules.

Methods of Assessment

Case study/practical assignment deliverables in all modules.

G1: Communicate effectively

Teaching/Learning Methods and Strategies

Lectures, seminars, and practical sessions on written communication and presentation skills in research and data analytics and business and entrepreneurship.

Practical sessions in groups/teams in engineering management, business and entrepreneurship, and computer-aided engineering and manufacturing technology.

Methods of Assessment

Practical assignment deliverables in all modules research and data analytics and business and entrepreneurship.

Group reports and practical assignment deliverables in engineering management, business and entrepreneurship, and computer-aided engineering and manufacturing technology.

G1: Retrieve information

Teaching/Learning Methods and Strategies

Case study readings and sessions requiring information extraction in all modules.

Lectures, seminars, and practical sessions on information retrieval in research and data analytics.

Methods of Assessment

Case study assignment deliverables in all modules.

G1: Work with others

Teaching/Learning Methods and Strategies

Case study/practical sessions requiring work in groups/teams in engineering management, business and entrepreneurship, and computer-aided engineering and manufacturing technology.

Methods of Assessment

Group reports and practical assignment deliverables in engineering management, business and entrepreneurship, and computer-aided engineering and manufacturing technology.

G1: Effectively use general IT facilities

Teaching/Learning Methods and Strategies

Online material access in all modules

Case study readings, lectures, seminars, and case study assignments on computer-based tools and resources in research and data analytics, computer-aided engineering and manufacturing technology.

Methods of Assessment

Case study assignment deliverables in all modules.

G2: Plan self-learning and improve performance, as the foundation for lifelong learning/CPD

Teaching/Learning Methods and Strategies

Reflection on learning and documentation of CPD via portfolios of assignment deliverables in all modules.

Methods of Assessment

Case study assignment deliverables in all modules.

G3m: Monitor and adjust a personal programme of work on an on-going basis

Teaching/Learning Methods and Strategies

Use of non-contact teaching methods, and independent work on assignments in all modules.

Case study readings, lectures, seminars, and case study assignments on project management engineering management.

Methods of Assessment

Group reports and/or case study/practical assignment deliverables in all modules.

G4: Exercise initiative and personal responsibility, which may be as a team member or leader

Teaching/Learning Methods and Strategies

Case study/practical sessions requiring work in groups/teams in engineering management, business and entrepreneurship, and computer-aided engineering and manufacturing technology.

Methods of Assessment

Group reports and practical assignment deliverables in engineering management, business and entrepreneurship, and computer-aided engineering and manufacturing technology.

MODULE INFORMATION

Programme Requirements

Module Title

Module Code

Level/ stage

Credits

Availability

Duration

Pre-requisite

 

Assessment

 

 

 

 

S1

S2

 

 

Core

Option

Coursework %

Practical %

Examination %

Engineering Systems and Management

MEE7033

7

20

YES

12 weeks

N

YES

100%

0%

0%

Manufacturing Technology

MEE7028

7

20

YES

12 weeks

N

YES

80%

20%

0%

Sustainable Energy Systems

MEE7029

7

20

YES

12 weeks

N

YES

100%

0%

0%

Business Management and Enterprise

MEE7032

7

20

YES

12 weeks

N

YES

80%

20%

0%

Computer-Aided Engineering

MEE7027

7

20

YES

12 weeks

N

YES

100%

0%

0%

Academic Literacy for PGT Mechanical & Aerospace Engineering

MEE7097

7

0

YES

YES

24 weeks

N

YES

100%

0%

0%

Project & Dissertation

MEE7012

7

60

YES

12 weeks

N

YES

100%

0%

0%

Research and Data Analytics

MEE7031

7

20

YES

12 weeks

N

YES

100%

0%

0%

Employability

MEE7098

7

0

YES

12 weeks

N

YES

100%

0%

0%

Notes

Due to the impact of the COVID-19 outbreak, the structure of this programme of study has altered for academic year 2020-21 and your module choice may run in a different sequence. You should refer to the programme handbook / your School for specific module details or any queries.