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Study information

MSc Dissertation - 2024 entry

MODULE TITLEMSc Dissertation CREDIT VALUE60
MODULE CODEECMM164 MODULE CONVENERProf Yang Liu (Coordinator)
DURATION: TERM 1 2 3
DURATION: WEEKS 0 11 11
Number of Students Taking Module (anticipated) 200
DESCRIPTION - summary of the module content
This dissertation will give you the chance to demonstrate your knowledge, to exercise your initiative and personal responsibility, and to use the research techniques and skills you have developed throughout your degree.
 
You will be required to solve a research or industrially-related practical problem based on the topics learned within, but not exclusive to, the MSc programme you are registered for. The project work will lead to a major piece of work (dissertation) of approximately 15,000 words (max. 80 pages, including references and appendices) that involves project planning, analytical, experimental or empirical results and their interpretation, showing how the goals of the project have been met. You will receive a list of potential projects and will be required to express your two preferences. Alternatively, you can discuss your own dissertation ideas with the module leader / potential supervisor (academic staff) with a view to explore if they offer required technical rigour and research challenge. You will be encouraged to discuss your preferences with relevant academic staff before we allocate projects. As part of the research project, you are expected to undertake a considerable amount of self-study. There is no formal taught component in the module, apart from suggested regular meetings with the supervisor.
 
Prerequisite modules: All compulsory modules listed for (or equivalent) the MSc programme you are registered for.
 
AIMS - intentions of the module

The aim of the project and associated dissertation is to showcase a range of your abilities, including effective communication skills. You will have the chance to undertake individual research of a technical, management or combined nature at Masters level related to your MSc programme.
 

INTENDED LEARNING OUTCOMES (ILOs) (see assessment section below for how ILOs will be assessed)

The dissertations may be design or research oriented with different mixtures of experimental, empirical or analytical work. The mapping to intended learning outcomes (ILOs) depends on the emphasis of the project on design, experiment, collecting empirical data, and analytical work. Students will demonstrate which ILOs the individual components of their dissertation addresses.

 Module Specific Skills and Knowledge:

1 Demonstrate a deep and systematic understanding of knowledge in areas appropriate to the chosen research project at the forefront of the academic discipline.

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

3. Use fundamental knowledge to investigate new and emerging technologies.

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

5. Show comprehensive understanding of research techniques and methodologies applicable to the research area of the project.

Discipline Specific Skills and Knowledge:

6. Demonstrate critical awareness of current problems and/or new insights most of which is at, or informed by, the forefront of the specialisation.

Personal and Key Transferable / Employment Skills and Knowledge:

7. Monitor and adjust a personal programme of work on an on-going basis.

8. Illustrate effective communication skills using a variety of commonly available media and techniques.

Programmes that are accredited by the Engineering Council are required to meet Accreditation of Higher Education 

Programmes (AHEP4) Learning Outcomes.

The following Engineering Council AHEP4 Learning Outcomes are taught and assessed on this module:

M1 – Apply a comprehensive knowledge of mathematics, statistics, natural science and engineering principles to the solution of complex problems. Much of the knowledge will be at the forefront of the particular subject of study and informed by a critical awareness of new developments and the wider context of engineering.

M2 - Formulate and analyse complex problems to reach substantiated conclusions. This will involve evaluating available data using first principles of mathematics, statistics, natural science and engineering principles, and using engineering judgment to work with information that may be uncertain or incomplete, discussing the limitations of the techniques employed.

M4 - Select and critically evaluate technical literature and other sources of information to solve complex problems.

C15 - Apply knowledge of engineering management principles, commercial context, project and change management, and relevant legal matters including intellectual property rights.

M17 - Communicate effectively on complex engineering matters with technical and non-technical audiences, evaluating the effectiveness of the methods used. 

SYLLABUS PLAN - summary of the structure and academic content of the module

Programme of work to be set by the project supervisor.

LEARNING AND TEACHING
LEARNING ACTIVITIES AND TEACHING METHODS (given in hours of study time)
Scheduled Learning & Teaching Activities 22 Guided Independent Study 578 Placement / Study Abroad 0
DETAILS OF LEARNING ACTIVITIES AND TEACHING METHODS
Category Hours of study time Description
Scheduled learning and teaching activities 22 Supervision
Guided Independent Study 578 Dissertation writing and private study

 

ASSESSMENT
FORMATIVE ASSESSMENT - for feedback and development purposes; does not count towards module grade
Form of Assessment Size of Assessment (e.g. duration/length) ILOs Assessed Feedback Method
Not applicable      

 

SUMMATIVE ASSESSMENT (% of credit)
Coursework 90 Written Exams 0 Practical Exams 10
DETAILS OF SUMMATIVE ASSESSMENT
Form of Assessment % of Credit Size of Assessment (e.g. duration/length) ILOs Assessed Feedback Method
Project proposal 10 1,500 words All; M1, M4, C15 Written
Dissertation 80 15,000 words (maximum 80 pages, including references and appendices) All; M1, M2, M4, C15) Written
Interview 10 Interview with the examiners (10-15 minutes oral presentation followed by 10-15 Q&A session, PPT slides are optional) All; M17 Written

 

DETAILS OF RE-ASSESSMENT (where required by referral or deferral)
Original Form of Assessment Form of Re-assessment ILOs Re-assessed Time Scale for Re-assessment
Dissertation Coursework (90%) All (M1, M2, M4, C15) To be decided by the APAC  

 

 

RE-ASSESSMENT NOTES

Reassessment will be by resubmission of the written dissertation only. For deferred candidates, the module mark will be uncapped. For referred candidates, the module mark will be capped at 50%.

RESOURCES
INDICATIVE LEARNING RESOURCES - The following list is offered as an indication of the type & level of
information that you are expected to consult. Further guidance will be provided by the Module Convener

Basic reading:

ELE: http://vle.exeter.ac.uk

Including ECMM410 (Research Methodology module lecture notes)

Reading list for this module:

Type Author Title Edition Publisher Year ISBN
Set Robert McGinn The Ethical Engineer Princeton University Press 2018 978-0-691-17770-0
Set Kate Williams Pocket Study Skills: Planning your Dissertation Macmillan Education 2013 978-0230-21605-1
Set McMillan, K., Weyers, J. How to Write Dissertations and Project Reports Pearson Education 2010 978-0273726937
Set Jennifer Boyle & Scott Ramsey Palgrave Study Skills: Writing for Science Students Macmillan Education 2017 978-1-137-57151-9
Set Margot Northey & Judi Jewinski Making Sense: A Students guide to Research and Writing Engineering and the Technical Sciences Oxford University Press 2016 978-0-19-901025-7
CREDIT VALUE 60 ECTS VALUE 30
PRE-REQUISITE MODULES None
CO-REQUISITE MODULES None
NQF LEVEL (FHEQ) 7 AVAILABLE AS DISTANCE LEARNING No
ORIGIN DATE Friday 22nd March 2024 LAST REVISION DATE Wednesday 8th May 2024
KEY WORDS SEARCH MSc Dissertation

Please note that all modules are subject to change, please get in touch if you have any questions about this module.