The course has several key themes centred on computational thinking, by which we mean the ability to develop and understand algorithmic solutions to problems. This is backed up by the practical skill of programming developed in a variety of relevant languages chosen to complement each other and show the spectrum of techniques and tools available. Students will learn how to apply these to the topic of artificial intelligence, learning about cutting edge techniques such as neural networks, and a range of AI applications. Students will also learn about the underlying architecture that supports computation, both the traditional computer and the new cloud based computation infrastructure which is increasingly prevalent. The course includes a key theme of data science where students work with (potentially very large) datasets, learning the appropriate storage, software and statistical techniques. This will include modern algorithms for machine learning which are revolutionising this field and responsible for much of the recent AI advances. Students will experience how all the previous skills should be combined in the development of an entire product, including the modern tools used in industry such as version control and automated unit testing; the methodologies and design techniques which support such development; and the ethical, social and legal considerations required in such development. Through the study of the above students will also development important degree level transferable skills including both group and individual work, time management, written and verbal presentation to both experts and non-experts, and critical reflection on their own and others work.

Modules are not listed for this Course.

Assessment Methods are not listed for this Course.

Professional Bodies are not listed for this Course.

26 January This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.

Course code: G402

Institution code: C85

Campus Name: Main Site

Campus code:

The following entry points are available for this course:

Year 1

Entry Requirements for Advanced Entry are not listed for this Course.

All applications are considered on an individual basis and the whole application is reviewed which includes previous and predicted qualifications, experience, reference and your motivation to study the course. The University also accepts the BTEC Level 3 National Extended Certificate / BTEC Level 3 Subsidiary Diploma and BTEC Level 3 National Diploma / BTEC Level 3 Diploma for entry onto degree programmes, provided that they are studied in combination with other qualifications that are equivalent to three A2 Levels. This may include subject specific requirements where necessary. If you are successful in receiving an offer, you will be invited to an Applicant Visit Day to discover more about the course and studying at Coventry University.

Please click the following link to find out more about qualification requirements for this course

Minimum Further Information are not listed for this Course.

Test	Grade	AdditionalDetails

English Language Entry Requirement Information are not listed for this Course.

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England	9250.0	Year 1
Northern Ireland	9250.0	Year 1
Scotland	9250.0	Year 1
Wales	9250.0	Year 1

Additional Fee Information are not listed for this Course.

Priory Street
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Address3 are not listed for this Course.
Coventry
CV1 5FB