• 专业概况
• 所属院系
• 中国学生入学要求
• 课程信息

专业概况

在这里学什么？

This program is designed for the person who loves data and wants to learn how to uncover actionable results from large data sets using a data scientific framework. Starting with the first course, students will learn data science by applying it on real-world, large data sets, gaining expertise in state-of-the-art data modeling methodologies, so as to prepare them for information-age careers in data science, analytics, data mining, statistics, and actuarial science.

There are five tracks in this program. Four of these provide specialized skills, and the fifth allows a student to sample a variety of data science and computational techniques.

Program Learning Outcomes:

Students in the program will be expected to:

· Apply data science using a systematic process, by implementing an adaptive, iterative, and phased framework to the process, including the research understanding phase, the data understanding phase, the exploratory data analysis phase, the modeling phase, the evaluation phase, and the deployment phase;

. Evaluate the true consequences of making false positive or false negative decisions.

· Demonstrate proficiency with leading open-source analytics coding software such as R and Python, as well as commercial platforms;

· Understand and apply a wide range of clustering, estimation, prediction, and classification algorithms including k-means clustering, classification and regression trees, logistic regression, k-nearest neighbor, multiple regression, and neural networks; and

· Learn more specialized techniques in bioinformatics, text analytics, algorithms, and other current issues.

所属院系

进入哪个院系学习？ School of Engineering, Science, and Technology

中国学生入学要求

为来自中国的学生设计 Students must hold a bachelor’s degree from a regionally accredited institution of higher education. A minimum undergraduate GPA of 2.70 (some programs require a 3.00) on a 4.00 point scale (where A is 4.00), or its equivalent, and good standing (3.00 GPA) in all post-baccalaureate course work is required. TOEFL with a score of no less than 550 on the paper-based test, 213 on the computer-based test, or 79 on the Internet-based test (iBT); a 6.5 on the IELTS is also acceptable.

课程信息

学制：须出席的在线/远程学习(31 学分)

学费：US$26,072.00 (¥ 165,867) /年

开学时间：预计在九月 2022

申请截止日期：

留学地点：School of Engineering, Science, and TechnologyCopernicus Hall - Room 2240700 1615 Stanley Street,NEW BRITAIN,Connecticut,06050, United States