MSc Artificial Intelligence

Provided by

Enquire about this course

About the course

Specialism: Artificial Intelligence, Data Science, Machine Learning
Certifications: MSc, PG Dip, PG Cert
Location: Liverpool
Study Type: Online
Qualification Level: Masters, Postgraduate
Start Date: 06 April 2021
About the course
Evolve your skillset with this specialist programme in the rapidly growing sector of computer science.
Artificial intelligence (AI) is having an increasingly prominent impact on the way in which different industries operate. This is driving employers to seek out highly skilled professionals to maximise system performance.
This advanced programme is designed to develop your expertise within this area, cultivating your practical skills and developing programming techniques, which will enable you to work effectively within the complex field of AI.  
To achieve a full master’s degree you will be required to complete 180 credits. This programme is also available as a postgraduate certificate (PG Cert) which amounts to 60 credits and a postgraduate diploma (PG Dip) which amounts to 120 credits. Students who complete the PG Cert and PG Dip will have the opportunity to progress to a full master’s degree. 
Why study this subject?
This programme will introduce you to the theory and practice of AI programming and development. You will also explore the relevant applications of the discipline and how to practically apply them to a range of industries in which you may choose to pursue a career.
Teaching methods and style
This programme is designed to be studied wholly online and part-time. Teaching is delivered through our state-of-the-art virtual learning environment, which provides students with access to all resources required for interactive study online. On this platform you will be encouraged to work collaboratively with classmates and actively read around your topic through our comprehensive library of ebooks and journals. 
Methods of assessment
Assessment is exclusively through online assignments rather than examinations. You will be assessed through a range of activities, including written assignments, discussion forum participation and journal entries.
Career destinations
Graduates will be able to thrive in a range of demanding roles across many sectors, by combining a strong foundation in computer science from your first degree with an advanced knowledge of AI from this programme.  
Potential job titles include AI consultant, AI developer, data scientist, information strategy manager, machine learning engineer, and research scientist.
Entry requirements
Applicants should have either:
A degree in computer science or a closely related subject, equivalent to a UK bachelor’s degree, coupled with two years relevant IT professional experience; or
Professional work experience in IT or related field and/or other prior qualifications will be considered on a case-by-case basis. 
All applicants are required to provide evidence they have reached a minimum required standard of English language. 
Payment options 
Full tuition fee – £18,000* (2020/2021 academic year)
The tuition fee is fully inclusive of all costs: teaching materials, core textbooks, assessments and resits.
If you live in England, you may be eligible for a postgraduate loan to cover some of the costs of your degree. If you are not eligible for a student loan, you will be offered a simple monthly payment plan to spread the cost of your tuition over the duration of your studies. 
You will receive a 5% discount if you choose to pay the full tuition fee upfront.
Scholarships of up to 15% of your tuition fee are available. For more details speak to the University of Liverpool Online Programmes admission team. 
*All tuition fees shown are net of any applicable sales tax payable by you in your country of residence. Where we are required to add sales tax at the local statutory rate, this will be added to the tuition fees shown and confirmed during the payment process.


There are currently no new dates advertised for this course

Related article

The University of Liverpool will be holding a webinar on Tuesday 1 December from 2-3.30pm GMT with Prof Frans Coenen, Professor of Computer Science...