Course summary
A very topical course, combining theory and practical aspects of machine learning with a view to forming capable professionals for the jobs market in this field.
- Embark on this newly developed course on a topic of great recent and predicted growth
- Explore the theory of machine learning and practical applications
- Benefit from studying both the practical focus and real industrial applications - this is one of a small number of such courses available
- Learn from academics with substantial experience in machine learning and industrial collaboration
Assessment method
To cater for the wide-ranging content of our courses and the varied learning preferences of our students, we offer a range of assessment methods on each programme. Assessment techniques vary from module to module to reflect relevant assessment approaches and the key learning points of each topic.
Entry requirements
-an undergraduate degree in a cognate subject area or -an undergraduate degree in a non-cognate subject area when supplemented by relevant skills and / or experience or -degree equivalent professional qualifications, e.g. BCS Professional Graduate Diploma in IT or -a HND plus a minimum of three years relevant professional experience International requirements: -IELTS score of 6.0 (5.5 each component) Additional information: -Non-standard applications are welcome. Admission will be at the discretion of the Programme Leader. Applicants may be required to submit a CV and references. Please contact the Admissions Team for further information
Fees and funding
Tuition fees
England | £9370 | Year 1 |
Northern Ireland | £9370 | Year 1 |
Scotland | £9370 | Year 1 |
Wales | £9370 | Year 1 |
International | £18250 | Year 1 |
Additional fee information
Provider information
Liverpool John Moores University
Student Life Building
Copperas Hill
Liverpool
L3 5AJ