東北大學(xué)

The Department of Mechanical and Industrial Engineering (MIE) offers the Master of Science in Data Analytics Engineering in order to meet the current and projected demand for a workforce trained in analytics. This degree program offers students an opportunity to train for industry jobs or to acquire rigorous analytical skills and research experience to prepare for a doctoral program in health, security, and sustainability at Northeastern University. While the core courses for this program are offered by the College of Engineering, elective courses can be chosen from diverse disciplines spread across various colleges at Northeastern. The MS degree in data analytics engineering is designed to enable the graduating students to address the growing need for professionals who are trained in advanced data analytics and can transform large streams of data into understandable and actionable information for the purpose of making decisions. The key sectors that require analytics professionals include healthcare, smart manufacturing, supply chain and logistics, national security, defense, banking, finance, marketing, and human resources and sports.

The Master of Science in Data Analytics Engineering is designed to help students acquire knowledge and skills to:

Discover opportunities to improve systems, processes, and enterprises through data analytics

Apply optimization, statistical, and machine-learning methods to solve complex problems involving large data from multiple sources

Collect and store data from a variety of sources, including Internet of Things (IoT), an integrated network of devices and sensors, customer touch points, processes, social media, and people

Work with technology teams to design and build large and complex SQL databases

Use tools and methods for data mining, big-data algorithms, and data visualization to generate reports for analysis and decision making

Create integrated views of data collected from multiple sources of an enterprise

Understand and explain results of data analytics to decision makers

Design and develop analytics projects

This degree program seeks to prepare students for a comprehensive list of tasks including collecting, storing, processing, and analyzing data; reporting statistics and patterns; drawing conclusions and insights; and making actionable recommendations; and designing and managing data analytics projects.