数据分析理学硕士

跨学科计划旨在为研究生提供发展分析技能的竞争优势，以解释跨学科的数据，并将其转化为相关见解和实用解决方案。跨学科的数据分析理学硕士由该领域的专业顾问委员会指导，他们将确保该计划提供严格的分析技能课程，这些课程在整个艺术，人文和科学领域以及在商业社区中都受到追捧。该计划针对在职专业人员提供全日制或非全日制课程正在寻求在数据分析领域建立专业知识的人。大多数学生会在两年内完成该计划，但可以通过加速学习在一年内完成。
Data analytics is a fast-growing field and often the key to business strategy and the solution to complex questions. Data analysts are sought after in nearly every field.<br><br>Our interdisciplinary MS in Data Analytics will provide you with a competitive edge in developing analytical skills to interpret data and translate findings into relevant insights and practical solutions. Most students complete the program in two years, but it can be completed in one year with accelerated study.<br><br>Program Outcomes<br>Upon completion of the program, you will be able to demonstrate the following areas of knowledge:<br><br>Define and solve complex data-based problems using appropriate statistical methodologies analyses<br>Select appropriate statistical and predictive methodologies with both sparse and large data sets<br>Provide appropriate theoretical interpretation of these results based on discipline-related concepts<br>Demonstrate written oral communications skills for conclusions drawn from the analyses of data<br>Create visual representations to increase understanding and utilization of complex data<br>Maintain collaborative team relationships to effectively contribute to a shared project<br>Have functional programming skills in data-related language