2026/27 Taught Postgraduate Module Catalogue

CIVE5000M MSc Dissertation

60 Credits Class Size: 250

Module manager: Dr Mateusz Bocian
Email: m.bocian@leeds.ac.uk

Taught: 1 Sep to 30 Sept (13mth) View Timetable

Year running 2026/27

Pre-requisite qualifications

Entry Requirements to the MSc programmes in the School of Civil Engineering

This module is not approved as an Elective

Module summary

Within this module the student completes a substantial, independent research project. The project should demonstrate that the student can apply advanced engineering principles, research methods, and analytical skills to investigate and solve a defined engineering problem. This is accomplished by a formal written report that presents the results of an original piece of research or applied study conducted by the student, showing mastery of research methods and understanding of their field.

Objectives

This module is designed to develop the capabilities to:

- Define problems and research gaps of relevance to one aspect of the students MSc programme.

- Systematically collate and critically review the relevant literature with regard to scientific rigour and integrity;

- Design and manage a work programme to collect, analyse and synthesise data with appropriate regard for research ethics, IP, health and safety, and risk assessment;

- Present information in a logical and cohesive way with due regard to research integrity;

- Elicit the appropriate conclusions including critical self-reflection and lessons learnt;

- Communicate appropriately through well-structured and written reports.

Learning outcomes

On successful completion of the module students will be able to (this module contributes to the AHEP4 learning outcomes indicated between brackets):

1. Select and critically evaluate technical and scientific literature and other sources of information (AHEP 4 Learning Outcome M4).

2. Use knowledge of mathematics, statistics, natural science and/or engineering principles to solve to solve complex engineering problems (AHEP 4 Learning Outcome M1).

3. Formulate and analyse complex problems in order to reach substantiated conclusions that explain the reasons for and the advantages and disadvantages of different formal organisational structures (AHEP 4, Learning Outcome M2).

4. Demonstrated the ability to critically select and apply appropriate computational and/or analytical techniques to understand, within their relevant limitations, complex engineering problems (AHEP 4 Learning Outcome M3).

5. Apply knowledge of engineering management principles in the context of the research project management and legal matters, including intellectual property rights (AHEP 4 Learning Outcome M15).

6. Communicate effectively on complex engineering matters with technical and non-technical audiences and evaluate the effectiveness of the methods used (AHEP 4 Learning Outcome M17).

Skills outcomes

Academic skills:

SLO1: Critically evaluate different arguments and perspectives, using appropriate evidence to develop and justify own opinions, arguments, theories, and ideas.

SLO2: Deliver effective, engaging, and well-structured oral and visual presentations tailored to a range of audiences.

SLO3: Write clearly, concisely, and coherently, presenting structured arguments supported by relevant evidence.

SLO4: Demonstrate proficient use of oral, written, and visual communication to support effective learning and convey understanding.

SLO5: Apply ethical and moral principles to guide behaviour and decision-making in academic and professional contexts.

SLO6: Plan and manage time effectively, prioritising tasks and balancing academic and personal commitments.

SLO7: Accurately interpret, integrate, and synthesise others’ ideas to support independent argument and theory development.

SLO8: Demonstrate good academic practice, including responsible source management, accurate referencing, and adherence to standards of academic integrity.

SLO9: Recognise when, why, and how to acknowledge others’ work appropriately to maintain scholarly honesty.

Digital skills:

SLO10: Locate, evaluate, organise, and share information across a range of digital formats and media.

SLO11: Critically assess the reliability, validity, and integrity of digital sources and data.

SLO12: Use digital tools and platforms responsibly to generate and communicate ideas effectively.

Enterprise:

SLO13: Identify, access, and evaluate relevant information sources to enhance the quality of academic work and independent research.

SLO14: Apply creative and enterprising approaches to research and problem-solving within academic and professional contexts.

Professional skills:

SLO15: Communicate clearly, concisely, and appropriately in both written and verbal forms, adapting content and style to suit different audiences.

SLO16: Prioritise tasks, manage workload efficiently, and meet deadlines through effective time management.

SLO17: Use digital technologies appropriately, ethically, and effectively to enhance productivity and learning.

SLO18: Apply logical, analytical, and creative approaches to problem-solving, using data to inform decisions and evaluate outcomes.

SLO19: Demonstrate self-management and self-awareness by working independently, setting achievable goals, and engaging in ongoing personal and professional development.

SLO20: Gather, analyse, and interpret information from diverse sources to support sound reasoning, decision-making, and problem-solving.

SLO21: Maintain composure and effectiveness when under pressure and when managing competing demands and tight deadlines.

Syllabus

-Definition of research;

-Identification of information sources;

-Academic integrity and research ethics;

-Research design and risk assessment;

-Research methods;

-Measurement (as appropriate to the topic);

-Data analysis;

-Synthesis and conclusions;

-Academic writing and referencing. The module will include a number of lectures on ethical issues, information searching, IP matters related to the themes of this module and overall programme of study.

Teaching Methods

Delivery type Number Length hours Student hours
Supervision 20 1 20
Lecture 10 2 20
Private study hours 560
Total Contact hours 40
Total hours (100hr per 10 credits) 600

Opportunities for Formative Feedback

This is provided through regular supervisory meetings. There should be at least 10 meeting throughout the course of the module (approximately once per month).

Reading List

Check the module area in Minerva for your reading list

Last updated: 30/04/2026

Errors, omissions, failed links etc should be notified to the Catalogue Team