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Reasoning – (M.A.)

University of Kent, Canterbury Campus

European Culture and Languages
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Disciplines:
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Application Deadline: as early as possible
Annual Tuition Fee: ≈ € 5,256 - ≈ € 13,116 (non-EEA)
Location: Canterbury / United Kingdom / View location on map ▾ Hide location on map ▴
Duration: 12 months Start Date: September
Educational Form:
  • Taught
Education Variants:
  • Parttime
  • Fulltime
Credits (ECTS): 60
Languages: English 
1.0708881,51.2984871

Location of University of Kent, Canterbury Campus

This programme is designed for students who wish to study the philosophical foundations of reasoning, inference and methodology broadly construed. It is ideally suited to students with previous philosophical training who would like to widen their knowledge of reason-related topics (psychology, legal, machine, scientific reasoning) or those with previous training in a reason-related topic who wish to pursue an enquiry into its philosophical foundations. The programme is ideal for those who wish to pursue these interests at postgraduate level for its own sake, as well as for those who wish to explore areas of specialisation in preparation for an Mphil/PhD. The flexibility of this programme ensures that you are able to negotiate your own path of study through a range of modules which take into account your own background and reflects the research specialisms and publications of the teaching staff who are nationally, and internationally, recognised experts in their fields.

The MA in Reasoning comprises four modules (for a total of 120 credits) and a dissertation (60 credits). You may, in consultation with the Programme Director, choose at least 60 credits from a number of core modules, each of which is assessed by a 4,000-word essay (except in the case of Logic), which typically include: Logic; Philosophy of Logic; Philosophy of Science; Philosophy of Mind; Philosophy of Cognitive Science and Artificial Intelligence; Philosophy of Language; Advanced Topics in Reasoning; Advanced Topics in Mind and Language; Paradoxes. These are taught through mixed undergraduate/ postgraduate classes and Master's-level supervisions.

In addition, members of staff offer seminars on topics of their current research interests, available to all postgraduates as well as to other members of staff. These are available for credit to MA students, who are given supervisions and assessed by a 4,000-word essay. Past seminars have included : Wittgenstein's Lectures on the Foundations of Mathematics, Empiricism and Meaning, Further Logic for Philosophers.

In addition, you may choose from a wide range of reasoning-related modules in psychology, computing, law, statistics, social policy and the history of science. Other wild modules are possible in philosophy and other areas. Upon successful completion of the four coursework essays, you go on to prepare an 8-10,000-word dissertation on an approved topic.

You work with your dissertation supervisor during the six-week summer term and have the summer to write up.


Contents

The taught MA in Reasoning is run by Philosophy, with options provided by other subject areas. All teaching takes place at the Canterbury Campus of the University of Kent.

Students choose taught modules to a total of 120 credits. At least 60 credits must be chosen from the core module offering.

Core modules:

* Logic (Jon Williamson, Philosophy, Autumn term) [30 Credits]
* Philosophy of Logic (Laurence Goldstein, Philosophy, Autumn term) [30 Credits]
* Philosophy of Science (David Corfield, Philosophy, Autumn term) [30 Credits]
* Philosophy of Mind (Julia Tanney, Philosophy, Autumn term) [30 Credits]
* Philosophy of Cognitive Science and AI (Julia Tanney, Philosophy, Spring term) [30 Credits]
* Philosophy of Language (Laurence Goldstein, Philosophy, Spring term) [30 Credits]
* Advanced topics in Mind and Language (Julia Tanney, Philosophy, Spring term) [30 Credits]
* Paradoxes (Laurence Goldstein, Philosophy, Spring term) [30 Credits]
* Special topics (Various, Autumn/Spring term) [30 Credits]

In the past, special topics have included:

* Logical reasoning, fallacies and paradoxes (Laurence Goldstein & George Darby, Philosophy)
* Further logic for philosophers (George Darby, Philosophy)
* Causal and probabilistic reasoning (Jon Williamson, Philosophy)
* Scientific and mathematical reasoning (George Darby, Philosophy)
* The advent of scientific reasoning: Galileo and Descartes to Newton and Kant
* Wittgenstein's lectures on the foundations of mathematics (David Corfield & Julia Tanney, Philosophy)

Non-core modules:

* Psychology of Reasoning: * Current issues in cognitive psychology and neuropsychology (Psychology SP827, Autumn & Spring terms) [40 credits]
* Cognitive neural networks Psychology SP846, Autumn term) [20 credits]



* AI: * Introduction to intelligent systems (Computing CO528, Spring term) [15 credits]
* Logic and logic programming(Computing CO884, Autumn term) [15 credits]*
* Data Mining and Knowledge Discovery (Computing CO832, Spring term) [15 Credits]*



* Statistical Reasoning: * Probability and Inference (Statistics MA862, Autumn & Spring terms) [25 credits]**
* Further Statistical Theory (Statistics MA864, Autumn & Spring terms) [15 credits]**



* Legal Reasoning: * The foundations of the English legal system(Law LW864, Autumn term) [20 credits]
* European Comparative Law (Law LW807, Autumn term) [20 credits]



* Scientific Reasoning: * Design, philosophy and ethics of social inquiry (Social Policy SO833, Autumn term) [20 credits]
* Techniques of data analysis (Social Policy SO832, Spring term) [20 credits]
* Using secondary and qualitative data (Social Policy SO817) [20 credits]
* Science@Work: professional science communication (Biosciences BI830, Autumn term) [30 credits]
* History of science and communication (History HI866, Autumn term) [30 credits]
* Science, ethics and controversy (History HI869, Spring term) [30 credits]
* Visualising science (History HI867, Spring term) [30 credits]
* Science communication in practice (Biosciences BI831, Spring term) [30 credits]



* A single wild module from the Philosophy MA, a Psychology MSc, the Computer Science MSc or the Statistics MSc [various credits]

* assumes some prior experience of computer programming with an imperative language such as Java.
** assumes a good level of calculus and linear algebra and a basic level of probability and statistics.

Students also attend a graduate research seminar, and do a dissertation (PL899) [60 credits] on a topic connected with reasoning.

IELTS

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Requirements

A first or 2.1 honours degree in a relevant subject (or equivalent).

English language requirements

IELTS

* 6.5 incl
* 6.0 reading
* 6.0 writing
* 5.5 listening
* 5.5 speaking

TOEFL internet-based

* 90 incl
* 22 reading
* 21 writing
* 21 listening
* 23 speaking

Additional Requirements

Minimal degree required: Bachelor's degree
Minimal amount of work experience Not specified

Language Proficiency

IELTS Band: 6.5
Cambridge English: Advanced (CAE): Grade B (Score: 75)
TOEFL Internet-based: 90

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