MA Philosophy and Artificial Intelligence / Postgraduate

MA Philosophy & Artificial Intelligence

Poised at the intersection of the humanities and technology, this innovative Masters degree can equip you with the combination of thinking, communication, and technical skills widely sought in sectors ranging from professional services, to the creative industries and government.

MA Philosophy and Artificial Intelligence

The emerging prevalence of Artificial Intelligence (AI) across all areas of our modern world accelerates the need to actively address the ethical and theoretical challenges that arise in connection with the uses of data and application of AI.

Award:	MA Philosophy and Artificial Intelligence
Location:	St Katharine Docks, London
Study mode:	Full-time or part-time
Duration:	One year (FT) or two years (PT)
Start date:	6th September 2023 (see academic calendar)
Annual tuition fees:	Home: £11,000 (FT)/£5,500 (PT) International: £14,000 (FT)/ £7,000 (PT) Northeastern University London Alumni Fees Discount: 20%
Funding:	Postgraduate loan available
Faculty & Research:	Philosophy Faculty Research
Timetables:	Click here
Your Qualification:	Click here
Programme Specifications:	Click here

Why Choose our MA Philosophy & AI?

The MA Philosophy & Artificial Intelligence can function as a conversion Masters programme and requires no academic background in Philosophy or programming.
Includes core courses exploring classic Philosophy texts and debates alongside the key ethical issues that are emerging in Data Science and AI.
Offers students the flexibility to choose between acquiring computer programming and data analytics skills, or alternatively undertaking additional in-depth Philosophy courses.
Provides the opportunity for students to gain coding experience in Python and to undertake assignments that use data science to solve problems.
Culminates in the research, preparation and written and verbal communication of a 10,000-12,000-word interdisciplinary dissertation, conducted under the supervision by a member of faculty.
Builds a critical and practical understanding of how philosophical thought is beneficial to the development of AI and the ethical use of data.
Functions as an exceptional springboard for future academic study of Philosophy at PhD level.
Offers the opportunity to stay and work in the UK for up to two years after graduation via the Graduate Route Visa (Post Study Work).
Unlocks alumni discount for further educational programmes across the Northeastern University global campus network.

Introduction

The MA Philosophy and Artificial Intelligence combines exploration of a range of philosophical issues, including ethical issues related to computer data, with opportunities to develop the skills and techniques of data science. Poised at the intersection of the humanities and technology, this innovative masters degree can equip you with the combination of thinking, communication, and technical skills currently sought by employers in sectors ranging from financial and professional services, to the creative industries, government and policy-making. Read more

Presupposing no background in either philosophy or programming, it ensures students are equipped with the skills and knowledge needed for graduate study in philosophy, and offers opportunities to acquire relevant coding abilities, and knowledge of the techniques of data science that underpin recent advances in machine learning and artificial intelligence, should students so desire.

At the same time, the programme allows for a progressive exploration of ethical and other philosophical issues arising in this area, with courses directly addressing them, and a dissertation devoted to a detailed investigation of an approved topic of the student’s choosing.

Structure

The University’s MA Philosophy and Artificial Intelligence is a 180-credit programme. Read more

Students will complete four core courses, two ‘depth’ course options, and one further ‘breadth’ option, for a total of 120 credits.

The programme culminates with the production of a dissertation of 10,000-12,000 words, which is worth 60 credits.

Teaching

Philosophy courses will be taught in lectures and seminars, and (with two course exceptions) through one-on-one tutorials. Read more

Data science courses will be taught through lectures/seminars, labs, and drop-in sessions/office hours, and will use Jupyter notebooks.

The dissertation will involve independent research under supervision from a Faculty member.

Part-time study

The Masters programme can be taken part-time over two years. Part-time students attend the same classes as their full-time colleagues, taking 50% of the course load each academic year. Read more

Our Masters programmes are demanding and we advise students that, if they intend to work alongside the course, their work should be flexible in nature. However, we will work with students, where possible taking into account their individual circumstances and need, to be flexible with our provisions.

Assessment

Summative assessment for the MA Philosophy and Artificial Intelligence will be by a range of methods to ensure students have the opportunity to demonstrate their abilities and achievements. Students will also be assessed on a dissertation of 10,000-12,000 words.

Career Development

The MA Philosophy and Artificial Intelligence will equip students for a range of careers and roles in society. Artificial intelligence – specifically, the application of machine learning techniques to big data sets – is becoming increasingly prevalent in society. There is therefore an increasing need for those who can think and communicate clearly about it, and its ethical and societal implications, both within the tech sector and throughout the private, public, and third sectors that engage with and apply it now more than ever. Read more

The option to learn some of the techniques of data science and AI while pursuing the study of Philosophy at masters level is unusual in the UK. Graduates pursuing this option will be able to speak with their more technically minded colleagues and with the uninitiated, bridging the knowledge gaps between them.

This degree will appeal to those who wish to contribute to either the practical or theoretical development of artificial intelligence and its applications, whether through further graduate study or by working in a relevant sector. Graduates will be well-placed to advance their careers in e.g. the tech sector, financial services, policy-making, and journalism, amongst many other areas.

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