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Graduate Program

Master of Science in Electrical Engineering

The department offers an M.S. program in electrical engineering.

The Master of Science degree requires 30 semester credit hours; all courses must be at the 100 level or above. For full-time students, four semester credit hours must be the Electrical and Computer Engineering Seminar.

Students wishing to have the designation of "with thesis" must sign up for the M.S. thesis course. A maximum of twelve M.S. Thesis credits may count toward the degree. This course takes the form of a creative thesis work, written and defended orally, and performed under the supervision of a faculty member.

Students choosing not to complete an M.S. thesis may complete additional course work in the department or related departments which can include up to six credits of M.S. project, six credits of directed study, or six credits of internship. Grades in all courses must be B- or better.

The department also offers a specialized Signals and Systems track within the M.S. degree in Bioengineering. This track educates biotechnology engineers in:

  1. analysis and processing of signals with an emphasis on biomedical image processing and image formation
  2. design, control and synthesis of systems for biotechnology, e.g., development of miniaturized devices, circuits and systems, or controller design for bioreactors.

Master of Science in Computer Engineering

The department offers an M.S. program in Computer Engineering jointly administered with the Department of Computer Science.

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.

From these core courses, at least one course must be taken from each of the following three core areas:

  • Computer Networking
  • Computer Architecture
  • Computer Software/Systems

Only one bridge course (e.g. EE 200 and EE 201) may count as one of the four computer engineering core courses. For full-time students, four credit hours must be the Electrical and Computer Engineering Seminar.

Students wishing to have the designation of "with thesis" must sign up for the M.S. thesis course. A maximum of twelve M.S. Thesis credits may count toward the degree. This course takes the form of a creative thesis work, written and defended orally, and performed under the supervision of a faculty member.

Students choosing not to complete an M.S. thesis may complete additional course work in the department or related departments which can include up to six credits of M.S. project, six credits of directed study, or six credits of internship.

Master of Science 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.

The M.S.D.S. is built upon a disciplinary core of statistics and machine learning, with depth provided by courses in each of the following:

  1. 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.
  2. Data analysis and interfaces: those components of computing concentrated around effective human interaction with computers, including human-computer interaction, graphics, visualization, and others.
  3. Computational and theoretical aspects of data science: foundations including information theory, signal and image processing, and numerical analysis.
  4. 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.

Prerequisites for the M.S.D.S. 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.

Requirements for the degree include a minimum of 30 credit hours of study, and must include Electrical Engineering 104 and Computer Science 119, 135. Three electives must include:

  1. one course in data infrastructure
  2. one course in data analysis and/or interfaces
  3. one course in computational and theoretical aspects of data analysis
  4. a course in the practice of Data Science, or a master's project in Data Science.

Two more electives are chosen from categories (A)-(D) are chosen in consultation with the student's advisor. A final course credit may be fulfilled by (D). Please consult the program's web page for details concerning acceptable courses for fulfilling the requirements (A)-(D).

Master of Science in Materials Science and Engineering

Tufts offers a program leading to the M.S. degree in Materials Science and Engineering, administered through the School on Engineering. The Master of Science degree requires 30 credit hours and all courses must be at the 100 level or above; grades in all courses must be B- or better.

At least five courses must be taken from a published list of Materials Science and Engineering (MSE) approved courses in addition to the completion of one of the listed MSE core courses.

Students wishing for their M.S. degree to have the designation of "with thesis" must sign up for M.S. thesis credits, up to twelve credit hours may count for the degree. This course takes the form of a creative thesis work, written and defended orally, and performed under the supervision of a faculty member.

Students choosing not to complete an M.S. thesis may complete additional course work in related departments which can include up to six credits of M.S. project, six credits of directed study, or six credits of internship.

Master of Science in Human-Robot Interaction

The Department of Electrical and Computer Engineering offers students in Human-Robot Interaction (HRI) a course-based, one-year M.S. program. This requires students to complete 30 credit hours of courses, including five core HRI courses and five additional courses.

The degree will stipulate "non-thesis." The Department of Electrical and Computer Engineering does not offer a thesis option in HRI. Advising of Electrical and Computer Engineering HRI students will be handled by a designated faculty or staff member formally affiliated with the Department of Electrical and Computer Engineering.

The 15 remaining credit hours must fulfill the following requirements. At least three of the five required electives must be taken from a list of approved Electrical and Computer Engineering electives. Each remaining elective must be a 100-level or 200-level course from one of the following departments:

Only courses listed with 3 or more credit hours can count as electives. Please consult the program website for details concerning acceptable courses for fulfilling these requirements.
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