Module manager: Professor Chris Forde
Email: c.j.forde@lubs.leeds.ac.uk
Taught: 1 Nov to 31 Mar View Timetable
Year running 2026/27
This module is not approved as an Elective
Research skills are important to enable the effective design and implementation of projects in a range of business contexts. This module will help students to learn the key concepts of business and management research skills. Skills include gaining knowledge of research methods and a range of research strategies to enable students to plan, research and deliver a challenge-focused project that explores theory and practice in terms of the use of artificial intelligence in business and management contexts.
The module aims to provide students with research and project skills required to design and undertake an AI-related research project in a business context, preparing them for their summer project or dissertation.
The module will strengthen students’ academic and professional skills, including critical thinking, literature searching, reflection, academic writing, and the effective communication of research ideas.
The module also introduces key considerations in research design and data analysis, including data management, analytical approaches, and potential bias and risks associated with the use of AI in organisational settings.. Through case studies and practical activities, students will learn how to critically evaluate research methods and apply them appropriately in different business contexts.
On successful completion of the module students will be able to:
1. Design and conduct an AI-focused project, being aware of the strengths and limitations of a range of research methods and strategies.
2. Critically evaluate relevant literature, gather and analyse data and communicate research findings effectively.
3. Identify, access, and evaluate a variety of information sources and data relevant on an AI-related topic, in order to develop well-supported analysis and solutions.
On successful completion of the module students will be able to:
Academic Skills
A1. Critical Thinking: Apply cognitive skills of critical thinking, analysis and synthesis
A2. Academic integrity: Employ good study practices and shared values, giving credit to others where their work contributes to yours.
Work Ready Skills
W1. Time management, planning & organising: Plan, organise and deliver work within time constraints
W2. Problem-solving & analytical skills: Use effective approaches to solve problems by tackling issues from different perspectives, applying both analytical and creative skills.
W3. Communication: Convey and receive information clearly, accurately, and appropriately while tailoring the message for different audiences and stakeholders.
This module introduces students to the foundations of research in AI and business, including the methodological choices, research design considerations, and ethical issues that shape rigorous inquiry in the field. It covers effective data management and analytical approaches for working with AI-related datasets, alongside guidance on how to communicate research ideas clearly and persuasively. Building on these foundations, students will also engage in applied project development and preparation, gaining practical experience in designing and planning research that connects AI technologies with real business challenges.
| Delivery type | Number | Length hours | Student hours |
|---|---|---|---|
| Lectures | 10 | 1.5 | 15 |
| Seminars | 10 | 1 | 10 |
| Private study hours | 125 | ||
| Total Contact hours | 25 | ||
| Total hours (100hr per 10 credits) | 150 | ||
Students will be supported through structured formative feedback opportunities, including:
- Opportunity to submit questions with a live FAQ document developed.
- Review a short essay/coursework plan (1-to-2-page outline) to provide specific feedback on planned coursework
| Assessment type | Notes | % of formal assessment |
|---|---|---|
| Report | Scenario-based report: A 2,500 word research proposal responding to a client call for an AI-based project. | 100 |
| Total percentage (Assessment Coursework) | 100 | |
The resit for this module will be 100% by 2,500 word report.
Check the module area in Minerva for your reading list
Last updated: 30/04/2026
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