- 專業(yè)概況
- 所屬院系
- 中國(guó)學(xué)生入學(xué)要求
- 課程信息
專業(yè)概況
在這里學(xué)什么？
The MS in applied statistics focuses on data mining, design of experiments, health care applications, and the application of statistics to imaging and industrial environments. You’ll integrate knowledge learn through engaging courses to solve more complex problems for a wide range of organizations, including industrial, marketing, education, insurance, credit, government, and health care.
This statistics master's degree is available to both full- and part-time students with courses available both on-campus and online. Cooperative education is optional. The program is intended for students who do not wish to pursue a degree beyond the MS. However, a number of students have attained doctorate degrees at other universities.
Core Courses
Students are required to complete core courses: Foundations of Statistics (STAT-631), Applied Linear Models–Regression (STAT-641), and Applied Linear Models–ANOVA (STAT-642). Students, in conjunction with their advisors’ recommendations, should take the core courses early in the program.
Electives
Elective courses are chosen by the student with the guidance of their advisor. These courses are usually department courses but may include up to 6 credit hours from other departments (or may be transferred from other universities) that are consistent with students’ professional objectives.
Areas of Concentration
- Clinical Trails
- Data Mining/Machine Learning
- Industrial Statistics
- Informatics
所屬院系
進(jìn)入哪個(gè)院系學(xué)習(xí)？ College of Science
中國(guó)學(xué)生入學(xué)要求
為來(lái)自中國(guó)的學(xué)生設(shè)計(jì) To be eligible to apply for any RIT graduate program you must hold (or be in anticipation of) a baccalaureate degree (or equivalent) from an accredited university or college. TOEFL score of 79, IELTS score of 6.5, PTE Academic 58 .
課程信息
學(xué)制：全日制(30 學(xué)分)在線/遠(yuǎn)程學(xué)習(xí)(30 學(xué)分)
學(xué)費(fèi)：US$50,136.00 (￥ 318,960) /年
開(kāi)學(xué)時(shí)間：2022八月23日, 2022八月22日
申請(qǐng)截止日期：
留學(xué)地點(diǎn)：College of Science1102 Thomas Gosnell Hall,84 Lomb Memorial Place,ROCHESTER,New York,14623, United States
滬ICP備18048269號(hào)-1 
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