Effective and innovative use of digital technologies is essential for any contemporary business to remain competitive and thrive in the digital economy. The MSc Management of Information Systems and Digital Innovation aims to equip students with vital skills to manage and drive opportunity through information systems, as well as providing a critical understanding of the associated complexity and challenges. These capabilities are in high demand and current trends look only to increase this as businesses and governments seek to capitalise on rapid technological advancements.
This course will provide in-demand digital skills for the current and future labour market. We strive to be ahead of the technology curve as we anticipate future oriented technology use and digital change. The core of the programme is a focus on sustainability and human centred technology for the benefit of individuals, businesses, and society to overcome critical global issues and build digital resilience. To achieve this, we aim to educate graduates who are systems thinkers and confident innovators. Our students are proactive, able to think laterally and holistically, and work in dynamic environments with strong critical thinking skills and the ability to communicate effectively.
Students taking this programme will be exposed to a range of emerging and future technologies which are revised continuously in collaboration with our Industrial Advisory Board. The programme has a strong engagement with industry to provide students with cutting-edge tools and techniques that are used in practice to solve business problems. At the same time, the course is underpinned by management theory and project management approaches. Students join us from both technical and business backgrounds and take advantage of the opportunity to tailor the course to their needs and interests through our optional modules.
[Learning Outcomes, Transferable (Key) Skills, Assessment]
View Timetable
Students are eligible for the award if they pass the 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 150 credits of compulsory modules:
| Code | Title | Credits | Semester | Pass for Progression |
|---|---|---|---|---|
| LUBS5308M | Business Analytics and Decision Science | 15 | Semester 1 (Sep to Jan) | |
| LUBS5501M | Research Methods and Dissertation | 60 | 1 Jan to 30 Sep | |
| LUBS5947M | Managing Digital Innovation | 15 | Semester 2 (Jan to Jun) | |
| LUBS5973M | Human Centred AI | 15 | Semester 1 (Sep to Jan) | |
| LUBS5976M | Digital Transformation Management | 15 | Semester 1 (Sep to Jan) | |
| LUBS5987M | Innovation in Operations and Information Systems | 15 | Semester 1 (Sep to Jan) | |
| LUBS5995M | Digital Technologies for a Sustainable Future | 15 | Semester 2 (Jan to Jun) |
Students will be required to study 30 credits of optional modules (you can study 15 credits from List A and 15 credits from List B, or you can study 30 credits from List B).
List A
| Code | Title | Credits | Semester | Pass for Progression |
|---|---|---|---|---|
| LUBS5318M | Evidence Based Consultancy | 15 | Semester 1 (Sep to Jan) | |
| LUBS5965M | Operations and Supply Chain Management | 15 | Semester 1 (Sep to Jan) |
List B
| Code | Title | Credits | Semester | Pass for Progression |
|---|---|---|---|---|
| LUBS5314M | Explainable Artificial Intelligence for Business | 15 | Semester 2 (Jan to Jun) | |
| LUBS5552M | Enterprise Lab: Complex Problem Solving for Government Agencies | 15 | Semester 2 (Jan to Jun) | |
| LUBS5565M | Applied AI in Business | 15 | Semester 2 (Jan to Jun) | |
| LUBS5971M | Managing Digital Information Projects | 15 | Semester 2 (Jan to Jun) | |
| LUBS5991M | Creating Effective Data Visualisations | 15 | Semester 2 (Jan to Jun) |
Last updated: 30/04/2026 16:02:10
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