Artificial Intelligence (AI) is reshaping how organisations operate, compete and create value. This innovative degree will equip you with the knowledge, analytical capabilities, and practical skills required to lead responsible, sustainable, and AI-driven business transformation in a rapidly evolving digital economy.
The programme is designed for students who want to combine strong employability skills with a deep understanding of AI in business. You will develop the ability to evaluate, adopt, and govern AI technologies across core organisational functions, including strategy, innovation, operations, people management, and leadership. Emphasis is placed on real managerial challenges such as explainability, ethics, regulation, organisational change, and the future of work ensuring you graduate with skills that employers increasingly demand.
You will learn to interpret and apply machine learning and AI tools, assess their business value, and communicate insights effectively to technical and non-technical stakeholders. Through case studies, simulations, and applied projects, you will gain experience in decision-making, problem-solving, data-driven thinking, and strategic leadership in AI-enabled organisations.
The programme draws on world-leading research from the Analytics, Technology and Operations (ATOD) and People, Work and Employment (PWE) departments, with access to world class research centres and initiatives such as the Centre for Decision Research (CDR), the Centre for Technology, Operations and Supply Chain Analysis (TOSCA), and the £18 million ESRC-funded Digital Futures at Work Research Centre (DIGIT). These connections ensure your learning is informed by cutting-edge research and real organisational practice.
A distinctive summer project allows you to work on live, real-world challenges in collaboration with academics and external partners across the private, public, and third sectors providing invaluable experience, professional networks, and a strong platform for careers in AI-enabled management, consulting, analytics, and digital leadership.
[Learning Outcomes, Transferable (Key) Skills, Assessment]
View Timetable
Students are eligible for the award if they pass 150 credits of modules (including any pass for progression modules) and achieve an overall average mark of 50 or above, calculated across the 180 credits of modules.
Students will be required to study the following 105 credits of compulsory modules:
| Code | Title | Credits | Semester | Pass for Progression |
|---|---|---|---|---|
| LUBS5302M | Foundations of Machine Learning in Business | 15 | Semester 1 (Sep to Jan) | |
| LUBS5304M | Digital Adoption and Innovation: Policies and Practices | 15 | Semester 2 (Jan to Jun) | |
| LUBS5306M | Research Skills for Business | 15 | 1 Nov to 31 Mar | |
| LUBS5314M | Explainable Artificial Intelligence for Business | 15 | Semester 2 (Jan to Jun) | |
| LUBS5327M | AI and the Future of Work | 15 | Semester 1 (Sep to Jan) | |
| LUBS5973M | Human Centred AI | 15 | Semester 1 (Sep to Jan) | |
| LUBS5976M | Digital Transformation Management | 15 | Semester 1 (Sep to Jan) |
Candidates will be required to study 30 credits from the following optional modules:
| Code | Title | Credits | Semester | Pass for Progression |
|---|---|---|---|---|
| LUBS5333M | Global Perspectives on Digital Work | 15 | Semester 2 (Jan to Jun) | |
| LUBS5343M | People Analytics: Strategy and Practice | 15 | Semester 2 (Jan to Jun) | |
| LUBS5565M | Applied AI in Business | 15 | Semester 2 (Jan to Jun) | |
| LUBS5596M | Strategic Change and Leadership | 15 | Semester 2 (Jan to Jun) | |
| LUBS5990M | Machine Learning in Practice | 15 | Semester 2 (Jan to Jun) | |
| LUBS5995M | Digital Technologies for a Sustainable Future | 15 | Semester 2 (Jan to Jun) |
Candidates will be required to study 45 credits from the following optional modules:
| Code | Title | Credits | Semester | Pass for Progression |
|---|---|---|---|---|
| LUBS5316M | Applied Project in Artificial Intelligence for Business | 45 | 1 Jun to 30 Sep | |
| LUBS5317M | Dissertation in Artificial Intelligence for Business | 45 | 1 Jun to 30 Sep |
Last updated: 20/05/2026 14:50:01
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