The Data Science master's program trains students to use statistics, data visualization, and machine learning to analyze and understand the world around them. The master's program is jointly administered by the Department of Computer Science and the Department of Electrical and Computer Engineering.
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:
The School of Engineering's Graduate Cooperative Education (Co-Op) Program provides students with the opportunity to apply the theoretical principles they have learned in their coursework to real-world engineering projects. Gain up to six months of full-time work experience, build your resume, and develop a competitive advantage for post-graduation employment. Learn more about the Co-Op Program.
The Data Science program at Tufts prepares students to address real-world problems with data-centric insights.
Students engage in a variety of data analysis techniques, including machine learning, optimization, statistical decision-making, information theory, and data visualization. Graduates of the program go on to work on interdisciplinary projects with data components including communicating with engineers, scientists, businesses, computer scientists, and medical professionals.
Prerequisites for the Data Science master's program include a Bachelor of Science degree in a science, technology, engineering, or mathematics (STEM) field. Applicants with Bachelor's degrees in non-STEM fields may begin study with a Certificate in Data Science that‚ in an additional term‚ gives the applicant a sample of the program.
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