数据科学理学硕士（迪尔伯恩）

数据科学硕士学位课程设计为30个学时的跨学科研究生课程。该课程包括必修的核心课程和技术选修课，为在当前就业市场上迫切需要的各种数据科学领域提供建立知识和专业技能的机会。对于对数据科学感兴趣的学生，推荐四个浓度（非强制性）。
Data science is an interdisciplinary field that uses techniques and theories from mathematics, statistics, computer science, domain knowledge, and information science. It was considered as the fourth (after empirical, theoretical, and computational) paradigm of science by Turing award winner, Jim Gray. A report from McKinsey Global Institute indicates that data scientist is one of the best jobs in U.S. and various industries demand a staggering number of data scientists in the next 10 years. The Data Science master's degree program is designed as a 30-credit hour interdisciplinary graduate program. The curriculum consists of required core courses and technical electives, providing opportunities to build knowledge and professional skills in various Data Science areas that are highly demanded in the current job market. Four specializations are recommended (not mandatory) for students with different interests in Data Science: Computational Intelligence Specialization, Applications Specialization, Business Analytics Specialization, and Big Data Informatics Specialization. This program provides students with opportunities to choose from a variety of courses offered by relevant departments from all four colleges at UM-Dearborn to fulfill students' specific career objectives in Data Science. These courses have access to a wide variety of computing and other resources across different units at the university.