PS4T64 - Engineering Management Dissertation 01 Sep 2023 - 31 Aug 2029 | Version 1
Associated Module Information
| Module Code: | PS4T64 | ||
|---|---|---|---|
| Module Title: | Engineering Management Dissertation | ||
| Faculty: | Faculty of Business and Creative Industries | ||
| Faculty Group: | Operations Management | ||
| Faculty Sub Group: | Operations Management | ||
| Module Leader: | Sriram Chinnadurai | ||
| Module Team: | Amy Nguyen, Paul Byard, Oluseyi Adeyemi, Fahmida Khandokar, Sharmin Julie, Paul Thomas, Natalie Shawley, Scott Parfitt, Simon Thomas, Luke Evans, Kieron Barnard, Victoria Pledger | ||
| First Intended Intake: | SEP 2023 | Final Year of Intake: | |
| Date Closed: | |||
| Credit Value: | 60 | Credit Level: | 7 |
| Language: | English | ||
| Percentage of Module Taught in Welsh: | 0 | ||
| Equivalent Module: | |||
| HECOS codes: | 100078 - business and management | ||
| HECOS Code Weighting: | 100 | ||
Document Version Information
| Version | 1 |
|---|---|
| Valid From | 01 Sep 2023 |
| Valid To | 31 Aug 2029 |
Module Aims
The Engineering Management Dissertation is a significant piece of student-directed learning, based on a detailed investigation into an engineering management-related phenomenon. The dissertation requires students to demonstrate the following:
·Originality.
· A clear definition of the issue under investigation and a clear statement of the aims of the study.
· An understanding and use of appropriate research methodology indicating skills in data collection and analysis.
· If appropriate, an analysis of existing practice within the organisation(s) in terms of the theoretical framework established for the study and in terms of comparative practice.
· The extent to which all of the above result in a set of conclusions which are consistent with the research. The setting out of clear recommendations for action, adoption or otherwise.
Content Summary
Students will be taught how to properly structure their dissertation report. Additionally, the module shall also cover an overview of the philosophical perspective associated with organisation studies, as well as the data collection and analytical techniques associated with classic empirical analysis. Students will be taught both quantitative and qualitative methods. Qualitative methods will focus on coding techniques to generate a thematic output (discourse analysis, thematic analysis). Quantitative methods will focus on univariate, multivariate, correlation and regression techniques .In relation to the focus of the (dissertation) study, work submitted by candidates demonstrates their ability to reflect upon and review critically their experience and the work of others within the field of engineering management. Concepts and issues are analysed and evaluated and the submitted work shows an ability to select and order evidence and arguments. Discussion is placed within a clearly defined conceptual framework. The work is well presented and is fluent, readable and scholarly in style. In the dissertation, there is a clear explanation of the chosen methodology, satisfactory application of chosen methods and identification of potential weaknesses in the research design. Work of outstanding quality is characterised by evidence of a new synthesis which emerges through the critical analysis of the candidate's own educational experience and the work of others. As a result, the work submitted shows originality and insight.
Learning and Teaching Methods
| Activity Type | Hours |
|---|---|
| Lecture | 10 |
| Tutorial | 20 |
| Project supervision | 9 |
| Independent Study | 561 |
| Total Hours Selected | 600 |
Learning Outcomes
| # | Learning Outcome |
|---|---|
| LO1 | Evaluate, appraise, critique and present new ideas, models and concepts, to identify any biases and assumptions inherent in these and therefore develop knowledge within the engineering management subject area. |
| LO2 | Demonstrate analytical skills, based on a comprehensive and systematic approach to the handling of primary and secondary data. |
Module Requisites
N/A
Assessment Criteria
| Assessment Category | Assessment Type | Description | Duration | Word Count | Weight (%) | Best of? | Pass Mark |
|---|---|---|---|---|---|---|---|
| Asynchronous Assessment | Dissertation / Major Project 1 | Individually determined and negotiated by each student | 0 | 18000 | 100 | No | 40 |
Assessment Matrix
| Assessment Type | Learning Outcomes | ||
|---|---|---|---|
| LO1 | LO2 | ||
| Dissertation / Major Project 1 | ✔ | ✔ | |