Live Projects

You will have the opportunity to work on real, research and industry-based projects supplied by external partners or emulated industry case studies. These will challenge you to apply what you are learning to solve real world problems.

Networking Opportunities

The teaching team make use of their research and industry connections for the inclusion of real work scenarios and case studies within the teaching materials of many of the modules.

All our courses are designed around a set of key principles based on engaging you with the world, collaborating with others, challenging you to think in new ways, and providing you with a supportive environment in which you can thrive.

You learn through ‘doing’, as part of our commitment to applied learning. You'll put into practice AI concepts and technologies, using problem-based approaches, and exams will be used to assess your theoretical knowledge. 

You learn through

• Lectures 
• Practical tutorials/labs 
• Working in teams
• Formative assessments 
• Structured walkthroughs and presentations

This course is delivered face-to-face over three semesters - teaching is scheduled based on the length of your course and the academic calendar.

This course prepares you for a career as a:

• Developer/AI Professional, building new AI systems to solve problems in a wide range of industries.
• Data mining analyst, using artificial intelligence to provide insights into data for organisations.
• Robotics programmer, creating new services with AI technologies embedded into the robotic systems.
• Machine Learning Engineer, designing new AI systems that can take actions without being directed.

First degree in a relevant subject area, including (but not limited to) Computer Science, Software Engineering, Games Programming. Applicants with a first degree in another technical computing field will also be considered. First degree classification of 2:2 or above. We would also consider applicants with relevant and substantial industry experience in software engineering or software development in leu of a relevant first degree. If English is not your first language, you will need an IELTS score of 6.0 with a minimum of 5.5 in all skills, or equivalent.

Important notice:

The structure of this course is periodically reviewed and enhanced to provide the best possible learning experience for our students and ensure ongoing compliance with any professional, statutory and regulatory body standards. Module structure, content, delivery and assessment may change, but we expect the focus of the course and the learning outcomes to remain as described above. Following any changes, updated module information will be published on this page.

Modules studied may differ depending on when you start your course.