数据科学数学硕士

数据科学数学硕士（M.Math）是一个基于研究的硕士学位论文。要求学生以四到六个学期完成课程。主要学位要求为四门课程和一篇论文。数据科学数学硕士的总体目标是：整合计算机科学，统计和优化领域的知识，发展数据科学领域的专业知识，使学生不仅了解如何应用某些方法，但是何时何地适合他们，以便他们可以深入了解如何适应它们以创建新的和改进的方法，对数据科学中用于从数据中提取相关和重要信息的方法和技术有透彻的了解，数据科学领域的专业知识水平，可以在数据科学的子领域中开发原始的研究成果，并学会在专家的监督下进行数据科学领域
Our graduate programs incorporate elements of Statistics, Computer Science, and Optimization. The need for integrated graduate training across these disciplines is acutely felt across all industries. Our aim is to provide breadth and depth in all three of these areas as they pertain to the emerging and world-recognized discipline of Data Science. Individuals with knowledge in this discipline are in high demand. Whether upgrading your education with a course-based master's program, or embarking on a research-based master's or doctoral program, you can look forward to an inspiring, connected, relevant journey of discovery. The Master's of Mathematics (MMath) in Data Science is a research-based Master's program with thesis. Students are expected to complete the program in four to six terms. The principal degree requirements are four courses and a thesis.Integrate knowledge from the fields of computer science, statistics, and optimization, to develop expertise in the field of data science.Reach a level of expertise in an area of data science that enables the development of an original research contribution in a sub-field of data science.