这是计算机科学（CEAS）和统计学（COAS）部门提供的跨学科硕士课程。该学位课程的一半是计算机科学研究生课程，另一半是统计学研究生课程。毕业生将能够存储和访问来自各种来源的数据，处理大数据架构，将分析技术和算法应用于大型和复杂的数据集，应用数据处理和可视化，在协作团队中工作以及有效地沟通。该计划的重点是一门硕士项目课程，分两个学期。在本课程中，学生选择数据科学中的一个问题（主题），该问题要在CS和/或STAT教员的监督下进行。在第一学期末，学生将提交一份书面建议，定义问题，建议的解决方案以及完整的文献搜
This is an interdisciplinary Master of Science program offered jointly by the Department of Statistics (COAS) and the Department of Computer Science (CEAS), housed in the Department of Statistics. Data Science is today one of the most rapidly developing disciplines and data scientists are in high demand in the job market. Students in this program would develop a skill set that will allow them to take on current and future complex data challenges. Graduates will be able to store and access data from a variety of sources (also heterogeneous), process Big Data architecture, apply analytic techniques and algorithms (including statistical and data mining) to large, complex data sets, apply relevant environments for data processing and visualization, work in collaborative teams and communicate effectively.<br><br>A minimum of 32 hours is required and the resulting degree is a Master of Science in Data Science.