School of Computer Science
Artificial Intelligence: Single Honours - BSc 3 Years
Artificial Intelligence: Single Honours BSc

One of the challenges in computing is to make computers demonstrate intelligent behaviour, so that they can solve new problems or cope with the unknown. Current achievements include image and voice recognition, and NASA's Mars Rovers. By combining the study of artificial intelligence and traditional computing techniques with an understanding from psychology of how humans learn, these degree programmes prepare you for a career applying computing in challenging applications.


Programme Details
Artificial Intelligence: Single Honours - BSc 3 Years


Undergraduate Computer Science Careers

Increasingly, employers are seeking graduates with high-level computing skills, and the ability to apply them in innovative ways to solve the problems facing their organisations. Opportunities exist in fields as diverse as finance, films and games, pharmaceuticals, healthcare, consumer products, and public services - virtually all areas of business and society. Employers, from large multinational firms such as EA Games , IBM and Microsoft to small local organisations, actively target our students, recognising that Manchester Computer Science graduates are equipped with the skills that enable them to excel in a whole host of positions, including many that are not traditionally associated with computing graduates.



How to apply
how to apply

Degree Structure
Degree Structure

Related Courses Units
Related Course Units

How you will be taught
How you will be taught

Back to full programmes list
Back to full programmes list

Undergraduate Broshure
Undergraduate Broshure

Performance Articulation by Edward Ridge

Edward Ridge

"My third-year project deals with the 'emotional colour' of music performance. In essence, it is about the differences between a perfect, deadpan rendition of a piece of music and the more imperfect rendition of a human performer.

These differences are very subtle and should be undetectable unless you are told they are there, yet they still are critical to injecting emotion into a music performance.

"My project involved researching how these differences between the deadpan and human performances could be modelled by algorithms, coding these algorithms in Java, then assessing the output and adding further algorithms to improve the output. I was given almost total freedom to research into whatever area intrigued me most and this helped greatly, as I was much more motivated to work on a subject that I find incredibly interesting."