High-Performance Computing (CITY3112)
High Performance computing is prevalent in all sectors (academia, government and industry) in today's world of computerisation. Some examples are weather simulation, prediction, and that of the development of sensitive instrumentation systems. This module will provide a grounding in this subject area and an insight into its applications.
Project Management (CITY3113)
This module will build understanding of the key themes in project management and the generic methodologies, tools and techniques used in professional practice. Further, it will deliver practical knowledge through professional theory, example and practice of project design, control and change techniques, culminating in a Dragons Den style practical presentation to an Industry panel.
Machine Learning and AI (CITY3114)
Modern Society is data-rich and there is a need to make sense of datasets of increasing complexity and size, from a broad spectrum of application areas in industry, healthcare, and academia. This module will introduce both supervised and unsupervised machine learning principles and practical methods for learning from real data. There is scope for applied project work with industry who can provide datasets for students.
Bio-Inspired Computing (CITY3115)
Bio-inspired computational algorithms are increasingly used to solve a variety of problems and in particular they may be applied to scenarios where pattern recognition and intelligence are required. The algorithms themselves have been created from observing biological mechanisms in nature. There is scope for project work with industry and government organisations who can provide annotated datasets for students
Advanced Computer Forensics and Security (CITY3116)
Using Open Web Application Security Protocol (OWASP) Top Ten benchmarks, students investigate Cyber Physical Systems and applications in instrumentation and critical infrastructure networks. By their very nature such systems require a different security posture. Students are introduced to the ensuing Security and forensic challenges through theoretical and practical experimentation using raspberry pi and data science mitigation implementations.
Individual Project (CITY3111)
The individual project gives students an opportunity to tackle a major applied computing related problem in an approved industrial related topic. Statistical methods applicable to the project will be included at the start of the course of study as well as the ethics involved. Students are expected to spend a minimum of 400 hours of time on their individual project. In addition, regular meetings with an allocated project supervisor will be scheduled for the duration of the individual project.
Fees, costs and funding
The UK is no longer part of the European Union. EU applicants should refer to our Brexit information to understand the implications.
How to apply
Our partnership with City College Plymouth
Please contact City College Plymouth to apply for this course:
City College Plymouth
Partner college open days
This course is run at one of our partner colleges. Open days are held at the college and more details of these can be found on the college website. You'll find contact details below, on this page.
University of Plymouth open days
You are also very welcome to attend a University of Plymouth open day, to get a flavour of the courses you can progress to from a partner college. There will however be limited information on this specific course and college.
Studying with City College Plymouth
Find out more about studying at City College PlymouthJust one-and-a-half miles from the University of Plymouth, we’re one of the largest colleges in the South West, with two main sites linked by shuttle buses, with a dynamic Students’ Union and Student Liaison Team.