¿Qué aprenderé?

Course description

Artificial Intelligence is a well-established, exciting branch of computer science concerned with methods to make computers, or machines in general, intelligent - so that they are able to learn from experience, to derive implicit knowledge from the one given explicitly, to understand natural languages such as English, Arabic, or Urdu, to determine the content of images, to work collaboratively together, etc. The techniques used in AI are as diverse as the problems tackled: they range from classical logic to statistical approaches to simulate brains.

This pathway reflects the diversity of AI in that it freely combines a number of themes related to AI techniques, namely Making Sense of Complex Data, Learning from Data, Reasoning and Optimisation, and Advanced Web Technologies.

Teaching and learning

Computational thinking is becoming increasingly pervasive and is informing our understanding of phenomena across a range of areas; from engineering and physical sciences, to business and society. This is reflected in the way the Manchester course is taught, with students able to choose from an extremely broad range of units that not only cover core computer science topics, but that draw on our interdisciplinary research strengths in areas such as the medical, health and life sciences and the humanities.

Coursework and assessment

Lectures and seminars are supported by practical exercises that impart skills as well as knowledge. These skills are augmented through an MSc project that enables students to put into practice the techniques they have been taught throughout the course.

Career opportunities

Students following the Artificial Intelligence pathway have all the career choices and options as described for general Advanced Computer Science.

In addition, students of this pathway are ideally placed to work in positions requiring an understanding of modern AI formalism and technologies such as Natural Language Processing, Machine Learning, and Semantic Technologies. This includes the obvious positions in the games industry, but also positions in finance, commerce, and scientific research, and many more.

¿En cuál departamento estoy?

Department of Computer Science

Opciones de estudio

a tiempo completo (12 )

Costos de estudio
£26.500,00 (US$ 36.461) por año
The fees quoted above will be fully inclusive for the course tuition, administration and computational costs during your studies.

Esta es una tarifa fija
Fecha de inicio

Esperado Septiembre 2022


The University of Manchester

Oxford Road,


M13 9PL, England

Requerimiento de entrada

Para estudiantes internacionales

We require a First or strong Upper Second class honours degree or equivalent in Computer Science or in a joint degree with at least 50% Computer Science content. Applicants with extensive Computer Science industrial experience and a good honours degree in Computer Science, or its overseas equivalent, may also be considered for admission. We also require that all applicants have a strong background in Computer Science reflected, for example, in solid programming and software development skills. In order to be accepted onto an MSc programme in the Department of Computer Science, applicants need to provide evidence of having achieved the required level in a recognised English language qualification. IELTS: overall score of 7.0 with no sub-test below 6.5. TOEFL 100 overall with a minimum score of 22 in other elements.

Puede haber diferentes requisitos de IELTS en función del curso elegido.