U.S. NEWS综排：47
区域分类：Suburban
学校类型：私立混合
国际生数量：2805
国际生比例：29.10%
罗切斯特大学是一所成立于1850年的著名美国私立大学，位于美国纽约州的罗彻斯特市，校园占地707亩，距离纽约市约七小时，距离美加边境的尼亚加拉大瀑布约一个半小时车程。罗彻斯特大学设有7大学院：文理学院、伊斯曼音乐学院、工程学院、华纳教育学院、西蒙商学院、护理学院、医学与牙医学院。伊士曼音乐学院（Eastman School of Music）为全美最佳的音乐学院，以乐理与演奏艺术兼重著称。学校特别之处在于它的课程体系，学校对入学新生没有专业的限制和要求，并鼓励学生选择感兴趣的课程广泛学习，100%保证学生能学习自己热爱的知识领域。因此，学生在罗彻斯特大学毕业前常会获得双学位甚至三学位。
知名校友
朱棣文，李龙飞，小柴昌俊
本科申请信息
基本信息
本科录取率
38%本科生数量
6386学费估算
$52,020托福code
7267学期制度
semester入学成绩
SAT录取均分
1354ACT录取均分
31GPA录取均分
3.8托福要求
100申请截止日期
秋季
常规
1.5提早
11.1转学生
3.15
春季
转学生
10.1
学院及研究生项目
学院项目
Master of Arts with a Major in Music Education
基本信息
学分
30-33项目时长
至少1年学费估算
$1,670/学时GMAT Code
暂无托福/GRE Code
2224申请截止日期
秋季
常规
12月1日早申请
11月1日
申请信息
TOEFL
88.0学院项目
Master's Human Development
基本信息
学分
暂无项目时长
暂无学费估算
暂无GMAT Code
暂无托福/GRE Code
暂无申请截止日期
秋季
申请信息
Human Development
Teacher Education Program in TESOL
学院信息
-
录取率
49.1%
录取平均成绩
-
GRE
V 153.00 /Q 165.0 /A 3.50 平均本科GPA
3.30
语言要求
-
托福
最低90.00 平均99.00 -
雅思
最低6.50
学院项目
MS in Electrical Engineering
基本信息
学分
暂无项目时长
暂无学费估算
暂无GMAT Code
暂无托福/GRE Code
7267 (TOEFL)/2928 (GRE)申请截止日期
秋季
常规
1月15日
申请信息
MS in Computer Science
MS in Mechanical Engineering
MS in EE
MS in Biomedical Engineering
学院信息
-
录取率
4.4%
录取平均成绩
平均本科GPA
3.70
学院项目
Master of Public Health
基本信息
学分
暂无项目时长
暂无学费估算
暂无GMAT Code
暂无托福/GRE Code
暂无申请截止日期
秋季
常规
5月1日
申请信息
Master of Science in Clinical Investigation
学院项目
MS in Technical Entrepreneurship and Management
基本信息
学分
暂无项目时长
暂无学费估算
暂无GMAT Code
暂无托福/GRE Code
暂无申请截止日期
秋季
常规
2月1日
申请信息
MS in Business Analytics
MS in Accountancy
MS in Marketing Analytics
MS in Finance
学院项目
M.S. in Data Science
基本信息
学分
30项目时长
2学费估算
$52,928GMAT Code
暂无托福/GRE Code
Toefl:7267, GRE:2928申请截止日期
秋季
常规
2月15日早申请
1月5日
申请信息
TOEFL
105.0IELTS
7.0项目简介
Our Master of Science in Data Science program is accredited by New York State and provides a strong background in the both the fundamentals and applications of data science. The program can be completed in either two semesters (fall/spring) or three semesters (fall/spring/fall) of full-time study. The two semester version is appropriate for students who enter with a strong background in computer science and mathematics, and are eager to take on a relatively heavy course load (four courses per semester) in order to graduate quickly. In the three semester version, students take three courses per semester, and many students work at internships during the summer between the spring and fall semesters. Our program provides opportunities for students to meet corporate recruiters and provides advice on applying for internships, but we do not guarantee placement in an internship. The program is designed for students with a background in any field of science, engineering, mathematics, or business. We welcome mid-career applicants as well as students fresh out of college. Prospective students should have experience in programming, and should be comfortable with first-year college mathematics. The components of the program are as follows: An optional summer bridging course for students who come without a strong computer science background. Four required core courses for a total of 16 credits. Students may place out of one or more of the required core courses, but will still be required to complete the 30 credits required for the program. A required 4 credit practicum in which the student works in a team to implement a significant system or analysis with a final oral presentation provided by each student. A committee of two faculty members from within the institute will evaluate the final oral presentation in order for it to serve as the master’s degree exit exam. Three electives selected from the area courses or research, for a total of 10 credits or more. Some of the area courses have prerequisites that students must satisfy. Eight credits or more in one area would constitute a concentration, but a concentration is not required. A total of 30 credits are required to complete the program (without the bridging course) and many students will finish the program with more than 30 credits, depending on the elective area courses they select.
PhD in mathematics
MS in Biology
MS in Computational Linguistics
MA in Linguistics
