Pre-Masters in Science and Engineering (3-Terms), Leading to Master of Science in Scientific Computing and Data Analysis (Artificial Intelligence for Engineering) Study Group - Durham University International Study Centre - Queens Campus, UK

Pre-Masters in Science and Engineering (3-Terms)
The Pre-Masters in Science and Engineering prepares you for a choice of progression degrees at Durham University. You will join the programme for two or three terms, depending on your academic qualifications and level of English language.

You can choose from a range of postgraduate degrees to progress to when you complete this course.

Who is this programme for?

This programme is for international students looking to study a postgraduate science or postgraduate engineering degree at Durham University.

• Choose from a range of degrees within the Department of Engineering, Department of Mathematical Sciences and Department of Psychology.
• Develop your academic knowledge, English language level and study skills needed for progression to your chosen Masters degree.
• Study core modules and designated modules related to your chosen specialism.
• Adjust to the UK education system and explore concepts, terminology and advanced academic writing needed to succeed at postgraduate level.
• Develop practical skills with research projects and laboratory experience.

What will you study?
You will study core modules, which cover general skills, and designated modules that relate to your progression degree. This means your Pre-Masters programme will be tailored to the specific needs of your chosen degree.

Core modules

• Academic English Skills
• Advanced Academic Writing and Critical Reading
• Quantitative Skills
• Extended Research Project

When you complete the Pre-Masters in Science and Engineering, and achieve the required grades, you can progress Scientific Computing and Data Analysis (Artificial Intelligence for Engineering) MSc at Durham University.

Leading to: 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.