Full time
1 year
SEP-24
MSc - Master of Science
Artificial Intelligence (Ai)
Taught
About this course
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.
Machine Learning is the scientific study of the ways in which computer systems can be programmed to perform a specific task without using explicit instructions, relying on patterns and inference instead through algorithms and statistical models.
This course is unique in combining theoretical and practical aspects of Machine Learning that will prepare graduates for a career in Industry or Academia. Modules include both aspects throughout the programme and prepare graduates for a variety of roles in Machine Learning development and deployment.
Assessment
How learning is monitored on your programme
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.
For this course (per year)
£9,370
For this course (per year)
£18,250
You will need: 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.
Founded in 1823, Liverpool John Moores University (LJMU) is ranked in the top 600 higher education institutions in the world and attracts staff and students from over 100 countries. A host of taught courses and research opportunities are available across LJMU’s five faculties: Arts, Professional and Social Studies Business and Law Engineering and Technology Health Science The International Study Centre gives international...more
Full time | 2 years | JUN-24
Full time | 2 years | SEP-24
Full time | 1 year | SEP-24
Part time | 4 years | JAN-25
Full time | 1 year | SEP-24