MSc in Data Science

The M.S. in Data Science is offered jointly by the departments of Computer Science and Electrical and Computer Engineering.

The M.S. in Data Science is a program that may be completed in as little as one year of study, or at a student's own pace. Prerequisites for the M.S. in Data Science include a bachelor’s degree in a STEM field, including Mathematics, Science, Engineering, Computer Science, or a related discipline. Applicants with bachelor’s degrees in non-STEM fields can begin study with a Certificate in Data Science that, in an additional term or year, gives the applicant a sample of the program. The courses in the certificate, upon successful completion with a grade of B- or better and admission to the M.S. in Data Science, may be transferred to apply to the M.S. in Data Science program.

About Tufts School of Engineering

Tufts' engineering programs challenge the traditional boundaries of academic disciplines, research, and the roles of engineers in our increasingly interconnected global community. Every day, Tufts researchers are developing new tools to improve medical diagnosis and treatment; novel materials for a greener future; smarter, more powerful computers; and innovative ways to educate the engineers of tomorrow. Master's and doctoral programs in six academic departments, as well as the M.S. in Engineering Management, offered through Tufts Gordon Institute, give engineering students the right mix of specialization and interdisciplinary exploration.

Academics

Tufts graduate programs offer an exceptional academic experience, distinguished by close faculty interactions that will propel you from graduate study to your career. With an array of programs in arts and sciences and in engineering, Tufts combines the resources of a research-intensive institution with a supportive, collegial atmosphere. Degree programs include:

• Doctoral programs

• Master's programs

• Certificate programs

Graduate students and postdoctoral trainees contribute to creating and distributing knowledge as individuals, and as vital members of research teams. Here, you will have the opportunity to teach and mentor some of the brightest undergraduates in the country, serving as key teaching and learning partners with faculty.