数据科学是信息技术的下一个前沿领域，但很少有大学提供该领域的程序设计。Carleton的数据科学新协作硕士课程面向有兴趣了解如何分析和使用政府，行业，非政府组织等收集的“大数据”集的研究生和高科技专业人士。用于生成在线购物的个人推荐，提高医疗保健效率或预测国家安全威胁等目的。我们的研究生课程旨在促进发展高学历的方法论和批判性技能。我们的教职员工为监督加拿大历史，古代和中世纪历史，近代早期历史，现代欧洲，大西洋世界（尤其是非洲，加勒比海和拉丁美洲），东南亚和美国历史的工作提供了绝佳的机会。从组织年度Unde
Data science is the next frontier of information technology but few universities offer programming in this area. Carleton's new collaborative master's in Data Science is geared at graduate students and high-tech professionals who are interested in understanding how to analyze and use ‘big data' sets collected by governments, industry, NGOs etc. for purposes such as generating personal recommendations for online shopping, improving the efficiency of health care delivery or predicting national security threats.<br><br>Students will earn their degree in one of the academic disciplines listed below with a specialization in data science (or an MBA concentration in Business Analytics) through research or coursework that addresses a data science challenge.