数据科学理学硕士

塔夫茨工程学院的独特位置是提供跨学科的数据科学计划，扩大该领域的研究范围，并为学生提供最先进的设施来开展项目并磨练他们的技能。数据科学领域的硕士课程可以在短短的一年内完成学习，也可以按照学生的个人进度完成。数据科学硕士的前提条件包括STEM领域的学士学位，包括数学，科学，工程，计算机科学或相关学科。在非STEM领域中拥有学士学位的申请人可以通过数据科学证书开始学习，该证书可以在另外的期限或年份内为申请人提供该程序的样本。证书中的课程在成功完成B级或更高成绩并获得数据科学硕士学位后，可以转移到数据科学硕士课
The Data Science master's program trains students to use statistics, data visualization, and machine learning to analyze and understand the world around them.<br><br>Program Highlights<br>The Data Science master's program is built upon a disciplinary core of statistics and machine learning, with depth provided by courses in each of the following categories:<br><br>Data infrastructure and systems: those systems and strategies that are core to interacting with data, including computer networks, computer security, internet-scale systems, cloud computing, and others.<br>Data analysis and interfaces: those components of computing concentrated around effective human interaction with computers, including human-computer interaction, graphics, visualization, and others.<br>Computational and theoretical aspects of data science: mathematical foundations, including information theory, signal and image processing, and numerical analysis.<br>Practice of data science: examples of effective use of data science in practice, including case studies and applications of data science principles to real-world problems.