免费咨询留学:400-697-9728
服务监督热线:400-821-8688

Doctor of Philosophy in Computing and Information Sciences- Artificial Intelligence

罗切斯特理工学院

Rochester Institute of Technology

US美国

  • 学历文凭

    学历文凭

    Ph.D.

  • 专业院系

    专业院系

    Department of Computing and Information Sciences

  • 开学时间

    开学时间

  • 课程时长

    课程时长

  • 课程学费

    课程学费

    汇率提示

国际学生入学条件

Complete an online graduate application. Refer to Graduate Admission Deadlines and Requirements for information on application deadlines, entry terms, and more.
Submit copies of official transcript(s) (in English) of all previously completed undergraduate and graduate course work, including any transfer credit earned.
Hold a baccalaureate degree (or US equivalent) from an accredited university or college. Since the program encompasses a wide variety of disciplines, students with diverse backgrounds (e.g.: engineering, science, humanities, fine arts, business, and disciplines with sufficient computing backgrounds) are encouraged to apply.
Recommended minimum cumulative GPA of 3.0 (or equivalent).
Submit a current resume or curriculum vitae.
Two letters of recommendation are required. Refer to Application Instructions and Requirements for additional information.
Not all programs require the submission of scores from entrance exams (GMAT or GRE). Please refer to the Graduate Admission Deadlines and Requirements page for more information.
Submit a personal statement of educational objectives. Refer to Application Instructions and Requirements for additional information.
Submit professional or research paper sample(s), if available.
Have completed at least one full year of study in programming and computing concepts, strong mathematical background in subjects such as discrete mathematics, and probability and statistics, and aptitude, vision, and experience (if applicable) in computing and information sciences related research.

IELTS - 6.5
TOFEL IBT - 88
展开
  • 雅思总分:6.5
  • 托福网考总分:88
  • 托福笔试总分:160
  • 其他语言考试:PTE Academics - 60

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

Our research efforts aim to understand the nature of visual perception so that we can create more visually intelligent machines. This is enabled via fundamental concepts in reasoning, prediction, supervised, semi-supervised and unsupervised learning, and stochastic optimization techniques. Our research involves (i) fundamental computer vision topics such as video analytics, detecting humans and their poses from images, object detection and tracking, etc, (ii) computer vision applications such as medical image analysis, understanding social dynamics from videos of human interactions, collision detection in self-driving cars, and other vision-related regression problems in videos, and (iii) the intersection of computer vision and graphics where we aim to model realistic avatars that interact more naturally with humans. We are constantly pushing the boundaries in applying computer vision techniques to a myriad of problems such as 3D reconstruction of the heart from MRI images, deception detection from visual cues, understanding group interactions such as in a volleyball game, improving STEM classroom learning through video analytics, and other such problems.
展开

相关申请

  • 预科预科
  • 奖学金奖学金
  • 实习机会实习机会
  • 在校学习在校学习
  • 跨境学习跨境学习
  • 校园授课-线上开始校园授课-线上开始
  • 在线/远程学习在线/远程学习

开学时间&学费

学费信息仅供参考,请与IDP顾问联系以获取详细信息

开学时间时长学费地点

学校排名

  • 排名

    世界排名601

    数据源:泰晤士高等教育世界大学排名

本校相关课程

其他相关课程

在线提交申请

请详细填写您的申请材料

请选择
请选择
请选择
请选择
请选择
IDP在取得您的同意前,将不会提供您的资讯给其他机构
我同意IDP教育集团的网站使用条款隐私保护政策,并同意IDP可能在中国境外处理我的数据
请以电话、电子邮件或简讯与我联系,协助我的海外留学咨询
我希望获得IDP的最新资讯与活动信息
课程匹配
400-697-9728
查看
login