排名：
U.S. NEWS 46
QS 251
THE 127
学生数量：12197
研究生数量：5430
国际生数量：2805
（占比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
区域及类型
Suburban / 大学 私立混合
热门专业
Health Professions and Related Programs, Engineering, Social Sciences, Business, Management, Marketing, and Related Support Services, Biological and Biomedical Sciences, Psychology, Computer and Information Sciences and Support Services, Visual and Performing Arts, Mathematics and Statistics, Physical Sciences
提供学位
Certificate, Bachelor's, Post-bachelor's certificate, Master's, Post-master's certificate, Doctorate - professional practice, Doctorate - research/scholarship
学费估算
$70,384
本科申请信息
基本信息
本科录取率
39%本科生数量
6580TOEFL Code
7267学期制度
semester入学成绩
SAT录取均分
1465ACT录取均分
32GPA录取均分
3.8SAT要求
Neither SAT nor ACTTOEFL要求
最低：100，纸考成绩：Considered，网考成绩：Required of someIELTS要求
Required of some面试要求
RecommendedCommon App 要求
Yes转学相关
转学所需最低学分
10转学最低GPA
3转学接受学期
Fall, Spring转学生比例
10.00%转学录取率
41.00%申请截止日期
-
秋季
-
常规
Jan. 5 -
提早
Nov. 1 -
转学生
3.15
-
春季
-
转学生
10.1
国际生
Fall:Jan. 5,Spring:Oct. 1SAT/ACT提交
Jan. 5学院及研究生项目
学院项目
M.S. in AI in Business
M.S. in Technical Entrepreneurship and Management
M.S. in Business Analytics
M.S. in Accountancy
M.S. in Marketing Analytics
M.S. in Finance
基本信息
学分
37项目时长
暂无学费估算
$83,500/year录取人数
187GMAT Code
WX9-8R-36托福/GRE Code
7260/2972申请截止日期
秋季
Round1
10月15日Round2
1月5日Round3
2月15日Round4
3月31日
申请信息
TOEFL
100.0IELTS
7.0GRE
V 148.0 / Q 157.0Prerequisite
没有严格的前置课要求，MSF项目建议有python基础 For the MS in Business Analytics, MS in Finance, and MS in Marketing Analytics programs, there are no official prerequisites, though we know that students enrolling in all four MS programs benefit from obtaining experience with programming languages before classes start. If you’re admitted to one of our MS programs and the Admissions Committee feels that additional programming knowledge will aid your success at Simon, you will receive further direction—such as taking a class at a local community college or leveraging online resources like Coursera—in your letter of admission. If you'd like to get started with some additional training, the programming language you’ll want to focus on depends on the MS program you’re pursuing: MSF: Python MSA, MSBA, MSMA: R Language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
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.
Ph.D. in Mathematics
M.S. in Biology
M.S. in Computational Linguistics
M.A. in Linguistics
学院信息
-
录取率
4.4%
录取平均成绩
平均本科GPA
3.70
