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Department of Computer Science

M.S. and Combined Degree Programs

Combined degree
The School of Engineering offers exceptional Tufts undergraduate students the option of pursuing a combined Bachelor of Science and Master of Science degree (B.S.-M.S.) as a thesis or non-thesis program. Tufts students receive a tuition scholarship, and it is possible to receive an additional scholarship for submitting GRE scores. Students who meet the financial guidelines to qualify as low-income can also apply for the NSF FAST-TRAC scholarship award program. Learn more.

M.S. in Computer Science
Students in the M.S. degree program in Computer Science can choose to complete a master’s thesis or a project-based study track. The M.S. program can be completed in one year, or two years with an optional thesis. In this program, students can pursue interdisciplinary collaborations within Tufts School of Engineering and across the university.

Ten credits are required, of which at least eight credits must be from approved courses. At least six courses taken must be in computer science, and at least two must include a serious programming component. Grades in all courses must be B- or better.

M.S. in Data Science
The Master of Science in Data Science (M.S.D.S.), administered jointly by the Departments of Computer Science and Electrical and Computer Engineering, prepares students for future careers and/or further study in Data Science. The M.S.D.S. is a one-year program that may be completed either in 9 or 12 months of study. 

M.S. in Computer Engineering
The M.S. program in Computer Engineering is jointly administered between the Department of Computer Science and the Department of Electrical and Computer Engineering..

The Master of Science degree requires 30 semester credit hours and all courses must be at the 100 level or above; grades in all courses must be B- or better. At least four lecture-based courses must be taken from a published list of computer engineering core courses.

M.S. in Human-Robot Interaction
Human-Robot Interaction is an interdisciplinary effort aimed at understanding and improving all aspects of interactions between humans and robots. It draws on knowledge from computer science, mechanical and electrical engineering, as well as psychology, philosophy, anthropology, legal fields, among various others. The Department of Computer Science and the Department of Mechanical Engineering each now offer an M.S. in Human-Robot Interaction.

The Department of Computer Science offers two M.S. options to students in HRI: a course-based option and a thesis-based option. All HRI students must take five required core courses, which are non-transferrable and represent five foundational subfields in HRI. Students must also take selected elective courses offered by HRI.

M.S. in Bioengineering (Bioinformatics track)
The Bioengineering (M.S.) program provides a broad engineering and biotechnology curriculum, while offering a focus on a specific engineering track that best fits students' interests and career choices. This combination gives our bioengineering graduates professional flexibility, a distinct competitive advantage in the ever-changing field of bioengineering. Computer Science is the home department for students studying in the Bioinformatics track.

This track requires some undergraduate computer science as a prerequisite (COMP 15 or the equivalent). Students will work with an advisor to design a coherent program including computer science electives as well as courses in computational biology, math and biotechnology.