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MSc Responsible Artificial Intelligence

MSc Responsible Artificial Intelligence

Different course options

Full time | Devon House | 1 year | 06-SEP-23

Study mode

Full time


1 year

Start date


Key information

Qualification type

MSc - Master of Science

Subject areas

Artificial Intelligence (Ai)

Course type


Course Summary

The MSc Responsible Artificial Intelligence is an integrated programme of study with dual foci on both theory and application. Presupposing no background in computing, students are equipped with the relevant knowledge and data programming skills – covering recent technical developments alongside broader ethical and theoretical considerations – to fulfil the needs of a vast range of organisations and employers.


In a world where AI prevails, organisations will increasingly require graduates who combine expertise in the development and implementation of machine learning applications with a keen understanding of societal and ethical considerations, and the ability to communicate.

The MSc Responsible Artificial Intelligence addresses this need for interdisciplinary engagement by teaching students the computational and programming techniques that underpin contemporary AI, while providing a philosophical grounding in the field.

Students will learn and practice a variety of programming functions using Python, NumPy, and Panda, applying the concepts of data science, programme design, machine learning and natural language processing.

Teaching & learning

The MSc Responsible Artificial Intelligence will be delivered through a mixture of lectures, seminars, lab-based tutorials and office hours.

Students who are enrolled full-time should anticipate devoting approximately 35-40 hours per week to their studies for the duration of their degree. In Michaelmas and Hilary terms, this will include approximately six to seven formal contact hours per week, with the remainder consisting of structured independent study.

Assessments are conducted through programming assignments, projects and a dissertation. Students are also encouraged to create an online portfolio to showcase their skills and interest to support their career aspirations.


The individual project offers an opportunity to students to pursue impactful interdisciplinary projects on an agreed topic of their choice in digital humanities or computational social sciences within the University and with its partners. It runs throughout the year so that students have ample time to focus their independent learning with the right guidance by their supervisor(s). Students will gain experience interacting with non-technical audiences to gather problem specifications and explain solutions.

Tuition fees

UK fees
Course fees for UK students

For this course (per year)


International fees
Course fees for EU and international students

For this course (per year)


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. NCH welcomes applications from mature students who may have been out of education for a while who have equivalent professional experience.

University information

Based in the heart of London, Northeastern University (NU) London has earned a reputation as an academic institution that is leading the way in UK higher education. Boasting one of the best staff-to-student ratios in the UK, NU London is renowned for its small group methods of teaching, which supports students’ intellectual development. In 2019, the university became part of Northeastern University’s Global Campus Network. The partnership...more

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