Curious about studying Digital and Technology Solutions MScat Cranfield University? We've gathered all the key details—entry requirements, modules, fees, and more. Hear from real students by checking out reviews, or take the next step by booking an open day to explore it for yourself.
MSc - Master of Science
Cranfield Campus
Part Time
Jan 2027
2 Year
The Digital and Technology Solutions MSc is designed for professionals who want to lead and deliver digital transformation in manufacturing and other complex sectors. The programme develops the knowledge and practical skills needed to design, implement and evaluate digital solutions that improve operations, support better decision-making, and create long-term value. The course focuses on key areas shaping modern industry, including AI and Machine Learning, Digital Twins, Data Analytics, Data Management (including ontologies), and visualisation technologies such as Augmented and Virtual Reality. You will learn how these technologies can be applied and integrated to address real industry challenges across production, maintenance and wider enterprise systems. With a strong emphasis on applied, problem-based learning, the MSc helps you develop solutions that are relevant to the workplace and grounded in real organisational needs. By combining technical capability with systems thinking, leadership and change, the programme prepares you to contribute to and lead digital transformation initiatives in complex industrial environments.
3.5This module aims to provide the ability to design and develop digital visualisation platforms that enable agile decision-making capability.
This module will provide the skills to be able to build a system simulation architecture and associated model for agile decision making within an enterprise context.
This module will provide the skills to be able to integrate a set of digital technologies and solutions for a wider application and offer the means to test the integrated solution for assurance purposes.
This module focuses on providing the skills to design and develop federated digital twin systems that are integrated in terms of their data, models and visualisation.
This module provides the skills to design and develop integrated data management approaches and systems to address data related challenges, including managing large volumes of data from disparate sources, identifying and resolving data quality issues, handling disparate data lacking integration and generating insights for agile decision making.
This module provides the skills to choose and justify new digital technologies and solutions by implementing appropriate requirements analysis, technology road-mapping and strategy development considering alternative targets such as return on investment and customer value.
Business analysts are frequently asked to gather, review and analyse business and industry data to produce robust, meaningful recommendations to senior managers. This requires the combination of a range of knowledge, skills and behaviours. For instance, the selection of quality data, building reliable databases and models, applying statistical models, deriving and communicating meaning from the findings.
The module aims to provide a systematic understanding of the requirements and processes for the creation of digital technologies and their adoption into businesses to enable digital transformation (Digital Business) in the context of a digital business ecosystem (Enterprise Systems).
This module will provide the skills to apply emerging digital technologies and solutions in the context of cost engineering with a focus on optimising the lifecycle cost and value.
This module will enable you to compare and contrast alternative approaches to servitisation. It will also offer approaches involving digital technologies and processes to design and deliver servitisation approaches.
