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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.
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.
Programme overview
Main Subject
Philosophy
Degree
MA
Study Level
Masters
Study Mode
On Campus
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.
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.
Admission Requirements
1 Year
Sep-2024
Sep-2025
Tuition fees
Domestic
11,900 GBP
International
15,150 GBP
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
MA Philosophy and Artificial Intelligence
Northeastern University London, London,, United Kingdom
12 monthsProgramme duration
15,150 GBPTuition Fee/year
PhilosophyMain Subject Area
Programme overview
Main Subject
Philosophy
Degree
MA
Study Level
Masters
Study Mode
On Campus
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.
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.
Programme overview
Main Subject
Philosophy
Degree
MA
Study Level
Masters
Study Mode
On Campus
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.
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.
Admission Requirements
Tuition fees
Domestic
International
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
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