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MASc Philosophy, Logic, and Artificial Intelligence

  • DeadlineStudy Details: 1 year full-time

Masters Degree Description

This new Master's course examines the very idea of reasoning, and its philosophical foundations, from the perspectives of Logic and Artificial Intelligence. Students will study a rigorous selection of modules which will stimulate advanced philosophical and critical thinking, alongside developing deep technical understanding. Students will graduate with a range of transferable skills, equipped for a range of jobs in the technological sector. This course is suitable for those with undergraduate degrees in other disciplines, but requires both logico-mathematical and philosophical aptitude.

Entry Requirements

A minimum of an upper second-class UK Bachelor's degree (or a international qualification of an equivalent standard.) Further specification: Mathematics A level (or equivalent) at grade A or above. (This can be satisfied with an undergraduate degree with suitable mathematical content.) Evidence should be included within the application to demonstrate suitable mathematical skills and computational thinking.

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Fees

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Student Destinations

Students will graduate with a range of extremely employable specific and transferable skills. This will position them well to work in interdisciplinary industrial positions or to undertake postgraduate research.

Specific skills - Graduates will understand topics related to artificial intelligence, including machine learning and reasoning. This sort of knowledge will equip them for a range of jobs in the technological sector, especially related to artificial intelligence.

Transferable skills - Graduates will have developed: (1) analytical and critical skills and (2) abstract but applicable problem-solving skills, such as rigorous reasoning, programming, and the design of efficient processes, with an emphasis on understanding formal tools.

Module Details

Compulsory modules

  •  The Dynamics of Social Change
  •  Formal Epistemology
  •  Meaning and Interpretation
  •  Dissertation
  •  Introduction to Machine Learning

Optional modules

  •  Early Wittgenstein
  •  Reasons and Normativity
  •  Research Seminar: Philosophy of Mind
  •  Research Seminar in Realism and Antirealism
  •  Philosophy of Arithmetic and Incompleteness
  •  Paradoxes
  •  Intermediate Logic
  •  Introductory Programming
  •  Computer Architecture and Operating Systems
  •  Algorithmics
  •  Categories, Proofs, and Processes
  •  Proof-theoretic Semantics
  •  Artificial Intelligence and Neural Computing
  •  Supervised Learning
  •  Statistical Natural Language Processing
  •  Reinforcement Learning
  •  Multi-agent Artificial Intelligence
  •  Machine Learning for Domain Specialists

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