Philosophy & Artificial Intelligence at Northeastern University London - UCAS

Course options

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Course summary

Summary The MA Philosophy & 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. 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. Teaching & Learning Philosophy courses will be taught in small lectures/seminars, and (with two course exceptions) through one-on-one tutorials with Faculty members. 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. 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. Career Development The MA Philosophy & 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. 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. More information about the course can be found at: https://www.nulondon.ac.uk/degrees/postgraduate/philosophy-and-ai/

Modules

Core courses:

  • Mind & Reality
  • Values & Society
  • Artificial Intelligence & Data Ethics
  • Minds and Machines
  • Philosophy & Artificial Intelligence Dissertation
In-Depth Studies (choose two of the following courses):
  • Programming with Data (Data Science)
  • Foundations of Data Science (Data Science)
  • Epistemology (Philosophy)
  • Philosophy of Science (Philosophy)
  • Formal Logic (Philosophy)
  • Philosophical Logic (Philosophy)
  • Technology & Human Values (Philosophy)
Further Study (choose one of the following courses):
  • Aesthetics
  • Ancient Philosophy
  • History of Ethics
  • Kant and Post-Kantian Philosophy
  • Metaphysics
  • Political Philosophy
The College’s MA Philosophy and Artificial Intelligence is a 180-credit programme. 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. Find out more about the programme structure at: https://www.nchlondon.ac.uk/degrees/postgraduate/philosophy-and-ai/courses/


How to apply

International applicants

Northeastern University London is a licensed Tier 4 Sponsor. More information for international applicants can be found at www.nulondon.ac.uk/hubs/international-students/

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, a personal statement, and an interview. You do not need to have studied Philosophy as your undergraduate degree in order to be considered for a place on this programme.


English language requirements

If English is not your native language, you will need to demonstrate proficiency in English in order to study at the College.

English Language Requirements

https://www.nchlondon.ac.uk/about-us/academic-handbook/nch-policies-and-procedures/nch-admissions/


Fees and funding

Tuition fees

Republic of Ireland £11000 Whole course
EU £14000 Whole course
Channel Islands £11000 Whole course
England £11000 Whole course
Northern Ireland £11000 Whole course
Scotland £11000 Whole course
Wales £11000 Whole course
International £14000 Whole course

Additional fee information

No additional fees or cost information has been supplied for this course, please contact the provider directly.
Philosophy & Artificial Intelligence at Northeastern University London - UCAS