Study Details: 1 year full-time
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
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.
You will need:
•a degree this does not necessarily need to be in Computing if you have relevant skills
or
•degree equivalent professional qualifications, e.g. BCS Professional Graduate Diploma in IT
or
•an HND plus a minimum of three years relevant professional experience
Additional information
•IELTS score of 6.0 (5.5 each component)
•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
Please note: All international qualifications are subject to a qualification equivalency check via NARIC.
Contact LJMU’s International Admissions Team for guidance on visa information. Further information is also available from our international web pages.
Home (full-time, per year): £8,500 ; International (full-time, per year): £16,100
Please visit our funding website
Further your career prospects
LJMU has an excellent employability record with 96% (HESA 2017) of our postgraduates in work or further study six months after graduation. Our applied learning techniques and strong industry connections ensure our students are fully prepared for the workplace on graduation and understand how to apply their knowledge in a real world context.
As a machine learning graduate, you can expect to be responsible for creating software, algorithms and mechanisms that support intelligent systems, that can learn and develop themselves as they operate. Self-driving cars, pattern recognising predictive systems, for instance, are examples of such systems. Machine Learning medical systems that can recognise patterns to predict health outcomes are becoming increasingly relevant for medical prediction and diagnosis.
You will provide computers with the automatic ability to learn, fine tune and improve performance with their own experience.
In addition, there are huge opportunities in research, both academic and in industry, developing new algorithms, systems and conducting experiments on intelligent systems.
Core Modules
Research Methods
Project Dissertation
Deep Learning Concepts and Techniques
Accelerated Machine Learning
Advanced Topics in Deep Learning
Enterprise Machine Learning