Module manager: Chunyu Xiu and Su Jung Jee
Email: C.Xiu@leeds.ac.uk and S.Jee@leeds.ac.uk
Taught: 1 Jun to 30 Sep View Timetable
Year running 2026/27
| LUBS5316M | Applied Project in Artificial Intelligence for Business |
This module is not approved as an Elective
This module aims to provide students with the skills and knowledge to define a research problem, evaluate competing methodological approaches in a chosen research area and design and implement an appropriate research strategy to a clearly articulated research question in the field of AI for Business. The module will support students through the steps and processes involved in the development of a dissertation based on a theoretical or applied perspective in the field of AI and Business. Specifically, the module will help students develop the knowledge, and skills required to conduct an impactful dissertation that focuses on (a) solving real-world AI for Business problems and (b) providing managers/firms with state-of-the-art insights to overcome current challenges (e.g., digitalisation, recession and sustainable operations). In doing so, students will develop business understanding and the ability to translate research findings into meaningful theoretical contributions and potential managerial actions. A selection of both qualitative and quantitative methods may be used to equip students with a variety of methodological skills.
The aim of the module is to give students the opportunity to demonstrate the independent research skills necessary to define, conduct and report a substantial piece of research in artificial intelligence in business. This module will provide students with the opportunity to develop a deep knowledge of their chosen area of study and demonstrate self-motivation and effective time management skills which will be necessary to successfully complete a work of this magnitude over a sustained period.
Upon completion of this module, students will be able to:
ALO1 - Identify, describe and critically appraise relevant theories, models and prescriptions within the field of human-focused artificial intelligence in business.
ALO2 Critically engage with current issues, research and scholarship in the field of human-focused artificial intelligence in business
ALO3 Identify, plan and implement a research project, evaluating competing methodological approaches in a chosen research area, select and justify appropriate methods of data collection, and critically analyse conceptual and empirical material derived from primary and/or secondary sources
ALO4 Manipulate and interpret human-focused artificial intelligence data using quantitative and/or qualitative methods
ALO5 Provide a clear presentation, analysis and interpretation of empirical findings.
On successful completion of the module students will be able to:
SLO 1. Academic skills: Independent learning skills: students will take ownership of their dissertation, managing their time and resources fostering self directed learning.
Written communication skill: students will produce a comprehensive dissertation, refining their ability to communicate complex theoretical ideas and technical detail clearly and effectively.
Verbal communication skills: regular meetings with academic supervisors will provide opportunities to practise and enhance effective personal communication
Critical thinking skills: Using and applying theoretical frameworks will require students to analyse information, evaluate options and make informed decisions.
SLO 2. Technical and Digital skills:
AI Enhanced Business Analysis Skills
The focus of the project on AI in business will enable the student to develop an understanding of relevant digital and technical solutions to business issues.
SLO 3. Work-readiness and professionalism:
Project Management and Stakeholder Engagement
Students negotiate dissertation scope deliverables, and timelines with supervisors and will interact in a collegiate professional manner.
| Delivery type | Number | Length hours | Student hours |
|---|---|---|---|
| Supervision | 5 | 1 | 5 |
| Lecture | 4 | 2.5 | 10 |
| Private study hours | 435 | ||
| Total Contact hours | 15 | ||
| Total hours (100hr per 10 credits) | 450 | ||
Students will submit a research proposal (unassessed) before the module begins to help with allocation of supervisors. General feedback on proposal will be provided.
Students' progress will be monitored through regular meetings with their supervisor. These meetings will each have a milestone and actions will be noted, minuted and recorded. Students will be encouraged to submit up to three chapters (up to 3000 words, unassessed) by June, to receive formative feedback on their writing.
| Assessment type | Notes | % of formal assessment |
|---|---|---|
| Essay or Dissertation | 10,000 word dissertation | 100 |
| Total percentage (Assessment Coursework) | 100 | |
The resit for this module will be 100% by 10,000 word dissertation.
Check the module area in Minerva for your reading list
Last updated: 30/04/2026
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