Pre-Masters in Science and Engineering (2-Terms), Leading to Master of Science in Scientific Computing and Data Analysis (Robotics and Computer Vision) Study Group - Durham University International Study Centre - Queens Campus, UK

Pre-Masters in Science and Engineering (2-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 (Robotics and Computer Vision) MSc at Durham University.

Leading to: Scientific Computing and Data Analysis (Robotics and Computer Vision) MSc

Advances in fields such as Robotics, Physics, Engineering, Earth Sciences or Finance are increasingly driven by experts in computational techniques. Notably, people skilled to write code for the most powerful computers in the world and skilled to process the biggest data sets in the world can truly make a difference.

The MSc in Scientific Computing and Data Analysis offers an application-focused course to deliver these skills with three interwoven strands:

• Computer Science underpinnings of scientific computing (algorithms, data structures, implementation techniques, and computer tool usage);
• Mathematical aspects of data analysis;
• Implementation and application of fundamental techniques in a domain specialisation (presently astrophysics, particle physics, financial mathematics, robotics or earth and environmental sciences).

MISCADA’s Computer Vision and Robotics specialisation aims to equip students with the background needed to address some of the biggest research questions in robotics and its associated sensing algorithms, such as how we can develop future autonomous mobility solutions in a safe and reliable manner. The courses include computer vision, machine learning, robotic motion and planning in addition to reinforcement learning.