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SMGT30310

Academic Year 2025/2026

Dissertation (SMGT30310)

Subject:
Sports Management
College:
Health & Agricultural Sciences
School:
Public Hlth, Phys & Sports Sci
Level:
3 (Degree)
Credits:
20
Module Coordinator:
Assoc Professor Ross Neville
Credit Split by Trimester:
Autumn 5
Spring 15
Trimester:
2 Trimester duration (Aut-Spr)
Mode of Delivery:
Blended
Internship Module:
No
How will I be graded?
Letter grades

Curricular information is subject to change.

This module aims to provide students with the opportunity to collaboratively undertake a piece of empirical research as part of a faculty-led project. Students will select their project during Stage 2 of their undergraduate studies and work in groups of up to five members under the direct supervision of a designated dissertation supervisor. This group-based work structure is designed to immerse students in the research process, enabling them to gain hands-on experience in conducting empirical studies.

Successful completion of the dissertation is expected to enhance students' confidence and competence in designing and executing research, including the collection, analysis, and interpretation of novel empirical data. Furthermore, students will develop their ability to communicate research findings in a clear, concise, and logical manner.

About this Module

Learning Outcomes:

Upon successful completion of this module, students should be able to collaboratively:

1. Identify a research gap and clearly articulate a researchable question.
2. Select an appropriate methodology to address the research question.
3. Design and administer a research study, including the use of a research instrument to collect novel empirical data.
4. Collate, analyse and interpret a novel dataset, and synthesise the findings within the existing research evidence base.
5. Communicate the findings of the research study in a clear, concise, and logical manner.

Indicative Module Content:

- Identification and articulation of a research design, including choice of research method and approach to participant sampling
- Obtaining ethical clearance to access research participants
- Collecting primary research data and data management
- Use of quantitative and/or qualitative research methods and testing protocols
- Use of quantitative and/or qualitative data analysis software (SPSS, AMOS, R, NVivo)

To successfully fulfil these tasks, on this module, students will collaborate with a subject expert supervisor in the field of sport and exercise science and management

Student Effort Hours:
Student Effort Type Hours
Project Supervision

25

Specified Learning Activities

150

Autonomous Student Learning

275

Total

450


Approaches to Teaching and Learning:
This module utilises a constructivist approach to teaching and learning. It especially promotes what Mosston and Ashworth (2002) have defined as both ‘Guided Discovery’ and ‘Divergent Discovery’. In Guided Discovery, students draw upon their existing knowledge and experience to identify a problem or question that is of interest to them. They also collaborate with peers (i.e., classmates) and an expert (i.e. academic supervisor) to identify an appropriate exploratory methodology to solve this problem/answer this question. The style of discovery is also ‘Divergent’ in the sense that the solution to the problem or answer to the question is not laid out in advance by the instructor.

Notes on use of Artificial Intelligence (AI):
Staff may utilise AI during the programme to support teaching and learning, and it will be clearly indicated if and when AI is used. Students are prohibited from representing work as their own that they did not write, code or create. Submission of AI-generated content to this Module by a student without explicit permission and attribution is not allowed, and it may reflect unacceptable professional behaviour. This may result in the initiation of a student disciplinary procedure in accordance with the University Student Code of Conduct and Academic Integrity Policy

Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Not applicable to this module.
 

Assessment Strategy
Description Timing Component Scale Must Pass Component % of Final Grade In Module Component Repeat Offered
Group Work Assignment: PROTOCOL: Student groups collaborate to develop a protocol for collecting and/or managing research data. In most cases, this protocol will be an application for ethical exemption/approval. Week 8 Autumn Graded No
10
No
Group Work Assignment: LITERATURE REVIEW: Student groups collaborate to source, review, and synthesise research evidence in their chosen topic area, establishing a theoretical framework that will inform their dissertation. Week 4 Spring Graded No
25
No
Thesis/Dissertation: DISSERTATION: Student groups will collaborate to compose an 8000 word written dissertation that communicates the research process, findings, conclusions, and practical implications of their research Week 15 Spring Graded No
65
No

Carry forward of passed components
Yes
 

Remediation Type Remediation Timing
Repeat Within Two Trimesters
Please see Student Jargon Buster for more information about remediation types and timing. 

Feedback Strategy/Strategies

• Feedback individually to students, on an activity or draft prior to summative assessment
• Group/class feedback, post-assessment

How will my Feedback be Delivered?

Student groups will be provided with summative feedback on their research proposal and individual literature review assignment post assessment. Student groups will also be provided with formative feedback on draft sections of their dissertation.

Name Role
Dr Andre Andrijiw Lecturer / Co-Lecturer
Dr Tom Fabian Lecturer / Co-Lecturer
Assoc Professor Seamus Kelly Lecturer / Co-Lecturer
Dr Alexander Latinjak Lecturer / Co-Lecturer
Assoc Professor James Matthews Lecturer / Co-Lecturer
Dr Joel Rookwood Lecturer / Co-Lecturer
Professor Eleni Theodoraki Lecturer / Co-Lecturer

Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.
2 Trimester (Sep-May) Lecture Offering 50 Week(s) - 21 Tues 10:00 - 11:50
2 Trimester (Sep-May) Lecture Offering 50 Week(s) - 26 Tues 10:00 - 11:50
2 Trimester (Sep-May) Lecture Offering 50 Week(s) - 34 Tues 10:00 - 11:50
2 Trimester (Sep-May) Lecture Offering 50 Week(s) - 1, 6, 12 Tues 11:00 - 12:50