Features Of the Program :
- A business-linked, research-led programme which focusses on the latest techniques and technologies
- You will learn how to apply the skills you learn to complex contemporary problems across the breadth of society
- Leading academics in the fields of artificial intelligence, machine learning, data science, high performance computing and networks, and cyber-security
- You will be immersed in a community of researchers working at the forefront of modern technological developments, with excellent facilities spanning a wide range of machine types and software ecosystems
- You will have the opportunity to carry out work on the University’s High Performance Computing environment, a £3m investment by the University, designed to serve advanced computing requirements
- Duration of the course : Full Time - 1 Year ; Part Time - 2 Years
Course content
- Computer Science is a wonderful, complex and curiosity-driven scientific field in its own right, but it enables, facilitates and supports so many other fields of scientific inquiry and is applied to so many real-world problems that it affords you the opportunity to take your research or career almost anywhere.
- Computing is ubiquitous in society and the fields in which we hold our expertise such as cyber security, computer vision, urban and environmental data science and evolutionary computing are filled with promise to benefit society.
- This programme is research-led. More than 94% of our Computer Science research outputs are internationally excellent.
- Students have the opportunity to carry out work on the University’s High Performance Computing environment which represents a £3m investment by the University, designed to serve the advanced computing requirements.
- The opportunity to study such a societally-relevant subject in a beautiful part of the United Kingdom is a unique combination.
- We invest heavily in scholarships for talented prospective Masters students and have over £2.5 million in scholarships available, including our Global Excellence Scholarships for international fee paying students.
- Teaching is mainly delivered by lectures, workshops and online materials.
- Assessment methods include essays, closed book tests, exercises in problem-solving, use of the web for tool-based analysis and investigation, mini-projects, extended essays on specialized topics, and individual and group presentations.
- Huge opportunities exist for the businesses and individuals who can solve these problems using the latest technology such as artificial intelligence, machine learning, data science, high performing computing and cyber security.
