Entry requirements

Offers are typically made to applicants holding an undergraduate degree with at least upper second-class honours (or equivalent). Each applicant will be assessed on an individual basis through their application, a reference and personal statement.

You do not require a prior background in Computing.
An A Level in Mathematics is desirable.
NU London welcomes applications from mature students who may have been out of education for a while who have equivalent professional experience.

Months of entry

January, September

Course content

The option to study philosophical issues of AI whilst pursuing a Masters level computing degree is a unique offering in the UK, allowing students the opportunity to delve on the technical as well as the societal impact of data processing and, in particular, machine learning applications.

The programme allows students to progressively develop their understanding of the techniques of data science, machine learning, and natural language processing, alongside key concepts and methods of computer science, while honing their programming skills in Python and Java; and, at the same time, refine their thinking and communication skills, through humanities courses devoted to a consideration of key practical and theoretical issues, arising in connection with AI.
The MSc Artificial Intelligence & Ethics consists of eight taught courses, six courses in Computer and Data Science and two courses in the Humanities, plus an individual software development project.

Information for international students

If English is not your native language, you will need to demonstrate proficiency in English in order to study at the University. We would normally require an IELTS of 6.5 overall (including 6.0 in all four components) or an equivalent qualification.

Qualification, course duration and attendance options

  • MSc
    full time
    12 months months
    • Campus-based learningis available for this qualification
    part time
    24 months months
    • Campus-based learningis available for this qualification

Course contact details