认知科学哲学博士

Doctor of Philosophy in Cognitive Science

印第安纳大学伯明顿分校

Indiana University Bloomington

美国

学历文凭
Ph.D.
专业院系
Cognitive Science
开学时间
课程时长
课程学费
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国际学生入学条件

Applicants should have an undergraduate major in a field such as Cognitive Science, Psychology, Computer Science, Philosophy, Linguistics, Biology, or Anthropology, basic computer programming skills, and basic knowledge of mathematics for science, including calculus and statistics. In exceptional cases, the programming or mathematics admission requirements may be waived and satisfied while pursuing graduate study.
GRE scores. We require GRE scores for all applicants and cannot process your application until we receive them. We do not require scores for a GRE area exam. We do not have cut-offs for GRE scores, preferring instead to use the full information available in your dossier.
Statement of purpose. This is your chance to explain to us what your plans are. Briefly convey your vision of the future of cognitive science if you wish, but also try to give us an idea of your personal plan of action for the future.

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IDP—雅思考试联合主办方
雅思考试总分
6.0
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雅思考试指南

雅思总分：6
托福网考总分：60
托福笔试总分：160
其他语言考试：NA

CRICOS代码：
申请截止日期：请与IDP顾问联系以获取详细信息。

课程简介

认知科学课程包括一个跨学科的研究课程和一个博士学位课程。学生们在最先进的基于计算机的实验室中进行深入的研究项目。有两个博士学位。学位选择：独立博士学位认知科学专业和联合博士学位。认知科学和另一个授予学位的计划，例如心理学和脑科学，信息学，计算机科学，哲学，神经科学，语言学或语言和听力科学。博士学位还提供副修认知科学。该计划旨在对学生进行理论开发和模型构建（数学，形式和计算机模拟模型），实证研究以及概念，研究和教学，业务，和政府。至少90个学时，包括核心课程COGS Q520（3学分），COGS Q53
The Cognitive Science Program comprises an interdisciplinary research program and a doctoral degree program. Students carry out intensive research projects in state-of-the-art computer-based laboratories. There are two Ph.D. degree options: a standalone Ph.D. in Cognitive Science and a joint Ph.D. in Cognitive Science and another originating degree-granting program, for example, Psychological and Brain Sciences, Informatics, Computer Science, Philosophy, Neuroscience, Linguistics, or Speech and Hearing sciences. A Ph.D. Minor in Cognitive Science is also offered. The program is designed to train students in theory development and model building (mathematical, formal, and computer simulation models), in empirical research, and in the development of the conceptual framework and technical skills needed for successful careers in research, teaching, business, and government.

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