• 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？

Our computer systems engineering program takes a sociotechnical, engineering approach to software. This engineering foundation is designed to enable students to embrace real-world complexity as a golden opportunity, especially for the more technically advanced student. We are committed to shaping our students to be intuitive problem solvers, experienced engineering architects, and result leaders who will have a great impact at the exciting three-way intersection of computer science, engineering, and ethics.

Our program offers a multitude of courses in big-data engineering and analytics in addition to supplementary courses that are required to deliver the data-analytics results in a meaningful way to management. We cover data management, advanced data management, business intelligence, column databases, data science, and big-data engineering. We offer advanced functional programming using the powerful Scala language and a course on advanced data science as well as cloud computing. Multi-thread concurrent computing is also offered as it is important for synchronizing a huge set of servers working in parallel to do large-scale analytics to make things run faster by a hundredfold increase in speed. Due to the high-level mathematical operations required to run these programs, only software engineers have the capacity to work in such complicated areas. Only they can make the necessary mathematical algorithms execute quickly enough to get the finest results.

Our engineers become fluent in data science for the sake of building the actual system. They study how to write machine-learning algorithms on top of statistical packages.

Students study the fundamentals of logical computing formulation and program construction as well as the mathematical modeling and analysis of algorithms—an essential aspect of data science analytics.

Students study clustering techniques, along with topic modeling and classification and logical regression techniques, as well as Bayesian statistics.

Students study how to configure and operate a Hadoop environment (large clusters of commodity hardware) and in the process how to integrate data from diverse sources, to move and manage data through big-data platforms (in-house or in the cloud). Data ingestion, the filtering and firing of millions of operations to run over large clusters of commodity hardware, is a software-engineering technique that we teach our students how to perform through Scala, multi-threading, Spark programming, and “map-reduce” techniques.

We show students how to make the business case for analytics projects and how to follow an execution road map that involves understanding the architectures underpinning such gigantic platforms as well as the resourcing and cost issues.

所属院系

进入哪个院系学习？ College of Engineering

中国学生入学要求

为来自中国的学生设计 Applicants must have a bachelor’s degree or master’s degree or equivalent from an accredited college or university. English language requirement: We expect a minimum score of 100 on the Internet-Based TOEFL (IBT), 250 on the Computer-Based TOEFL (CBT), or 600 on the Paper-Based TOEFL (PBT); We expect a minimum overall band score of 7.0 on the IELTS.

课程信息

学制：全日制(32 课时)

学费：

开学时间：2022八月23日

申请截止日期：

留学地点：Northeastern University360 Huntington Avenue,BOSTON,Massachusetts,02115, United States