Scientific Computing and Data Analysis (Artificial Intelligence for Engineering),MSc

Developments in the field of engineering are increasingly driven by experts in computational techniques. Our suite of Masters in Scientific Computing and Data Analysis (MISCADA) offers an application-focused course to deliver these skills with three interwoven strands:

• Implementation and application of fundamental techniques in an area of specialisation (in addition to AI for Engineering, we offer options in Financial Technology, Astrophysics, Computer Vision and Robotics, or Earth and Environmental Sciences)
• Computer Science underpinnings of scientific computing (algorithms, data structures, implementation techniques, and computer tool usage)
• Mathematical aspects of machine learning and the simulation and analysis of mathematical models

The MISCADA specialist qualification in Engineering introduces you to engineering applications through a structured program of taught modules and project work. Through lectures, computer labs and projects, you'll learn to:

• Design and implement AI solutions for engineering problems.
• Apply deep learning and optimisation techniques to engineering systems.
• Integrate AI with physical models and engineering principles. Develop robust software implementations.

You can find out more here.

There’s great synergy between the modules and you will be given plenty of opportunities to put your learning into practice from the start of the course. Our research-led approach allows you to take some of the newest theoretical ideas and learn to apply cutting-edge AI methods to solve real engineering challenges. If you have an undergraduate degree in engineering or a science subject with a strong quantitative element, including computer science and mathematics and want to work at the highest level applying AI methods to engineering problems, either in academia or in industry, then this could be the course you’re looking for.

This innovative MSc programme combines advanced artificial intelligence techniques with engineering applications, preparing graduates to develop and implement AI-driven solutions for complex engineering challenges in industry and research.

All streams require a UK first or upper-second-class honours degree (BSc) or equivalent

• In Engineering OR
• In Computer Science OR
• In any natural sciences with a strong quantitative element.

We encourage applicants to select a specialization area that aligns with their background. Please note that standard business degrees do not provide the necessary mathematical foundation.

Additional requirements

• Applicants must demonstrate strong programming skills in at least one compiled language, preferably C or C++, although Rust, Java, C#, Fortran, or Pascal are also acceptable. Proficiency in Python may suffice if the applicant has a strong background in their chosen specialization. Those lacking experience in C or C++ are advised to enrol in our pre-sessional course.
• Additionally we require knowledge of undergraduate-level mathematics, covering linear algebra, calculus, integration, ordinary and partial differential equations, and probability theory.

English language requirements

Qualifications in computer science are highly sought after by employers across the globe and an award from our Department provides the academic skills, industry insight and research-informed approach that sets postgraduates up for careers in a broad range of sectors.

Many postgraduates have gone on to work as software engineers, analysts, consultants, programmers and developers. Some have founded their own start-ups or work in leading software companies, high-technology consultancies, banking and finance, retail, engineering, the communications and IT industry.

The Department has strong research links, spanning both industry and government, including the automotive sector with Jaguar Land Rover and Renault, the defence and security sector with QinetiQ and Boeing, with government in the Civil Service and at GCHQ and in the manufacturing sector with Procter & Gamble. Other high-profile employers include BAE Systems, Google and BT.