Choosing your master's degree at Cranfield University
Cranfield University is at the forefront of computational engineering and digital transformation. We offer a range of MScs that allow you to specialise in your chosen subject from AI through to Autonomous Technology, Computational Engineering, Robotics and Data Analytics.
We welcome students from a range of backgrounds, including engineering, mathematics, physics, computer science and robotics. Our graduates are highly sought after in industry and go into a variety of careers across a broad selection of industry sectors – these include motorsport, aerospace, manufacturing, space, energy and finance.
Explore our courses
Aerospace Computational Engineering MSc
This unique course blends skills-based and subject-specific material to provide you with practical skills and cutting-edge knowledge adaptable to a wide variety of applications in aerospace computational engineering. Also suitable for qualified engineers to incorporate CFD into their skill-set.
Advanced Air Mobility Systems MSc
The Advanced Air Mobility Systems MSc is designed to equip you with the skills required to pursue a successful career in transforming the aviation industry, applying the knowledge learned to introduce new automated and autonomous solutions, to enable a safe, orderly and expeditious integrated airspace, where uncrewed aerial systems operate alongside crewed aircraft.
Applied Artificial Intelligence MSc
Artificial Intelligence (AI) technologies are being increasingly adopted across a broad range of industries, creating demand for talented graduates who can help realise the transformative potential. Be at the forefront of this revolution, by gaining a unique combination of theoretical and practical skills enabling you to work across disciplines and implement AI systems where they are needed.
Autonomous Vehicle Dynamics and Control MSc
The global market for drones and autonomous aerial vehicles is rapidly growing. With a rise in applications for unmanned aerial vehicles (UAV) and uncrewed aircraft systems (UAS), the defence and aerospace industries seek graduates conversant in key aspects of autonomy including: dynamics and control, guidance and navigation, decision making, sensor fusion, data and information fusion, communication and networking. Students on the MSc in Autonomous Vehicle Dynamics and Control benefit from a distinct educational experience and unique facilities, including our drone laboratory, allowing you to gain hands-on experience in the development of the autonomous flight systems and technologies of tomorrow.
Aviation Digital Technology Management MSc
The MSc in Aviation Digital Technology Management develops professionals with the ability to innovate and apply digital technology in the aerospace industry. The course gives graduates from aeronautical and engineering backgrounds the digital skills and capabilities required to develop a career that goes beyond design and manufacture, and will open up wider aviation industry opportunities.
Computational Fluid Dynamics MSc
This course enables you to understand, develop and implement CFD across a range of industries. You will learn how to code and implement numerical schemes to solve fluid dynamics problems, and how to apply CFD using commercial and open-source CFD software, tackling turbomachinery and rotorcraft aerodynamics, multi-phase flow and heat transfer, microflows, fluid-structure interaction, environmental flows. The group project simulates a CFD consultancy environment, where you will solve industrial problems across aerospace, automotive or energy sectors.
Computational Intelligence for Data Analytics MSc
This specialist option of the MSc Computational and Software Techniques in Engineering will enable you to develop a solid base of computer science skills and focused expertise, necessary to develop fast algorithms capable of dealing with a range of complex problems where intelligent decision-making or future predictions are based on understanding of data collections.
Computer and Machine Vision MSc
This specialist option of the MSc Computational and Software Techniques in Engineering has been developed to deliver qualified engineers to the highest standard into the emerging field of digital signal and image processing, who are capable of contributing significantly to the increased demand for both real-time and offline systems operating over a range of mobile, embedded and workstation platforms.
Digital Engineering Design MSc
This specialist option of the MSc Computational and Software Techniques in Engineering has been developed to reflect the wide application of DED and to deliver qualified engineers of the highest standard into industries operating in the fields of computational and software engineering.
Robotics MSc
As the demand for robotics is increasing, this course has been developed to equip you with the skills and knowledge to become a robotics engineer. It is unique in its focus on human aspects supported by practical applications. This course is suitable for those with basic engineering mathematics knowledge and computer programming skills.
Software Engineering for Technical Computing MSc
This specialist option of the MSc Computational and Software Techniques in Engineering offers a unique insight into the development of computer applications across a wide spectrum of modern computing environments, from multi-core CPUs to specialist GPUs to cloud computing, all of which are relevant to the IT industry today.
