The M.S. program in Offshore Wind Energy Engineering is offered through the Department of Civil and Environmental Engineering. This program offers graduate-level training in offshore wind engineering, policy, and project management training for students seeking jobs in the emerging global offshore wind energy industry. A full-time student can complete this option in one year but three semesters are recommended, and part-time study is available.

As intelligent autonomous robots increasingly become part of our lives, the field of human-robot interaction seeks to understand and improve all aspects of interactions between humans and robots.

Tufts Gordon Institute's MS in Innovation & Management (MSIM) is a fast-paced, full-time graduate program that provides you with business, leadership, and entrepreneurial skills.

Tufts Gordon Institute, part of Tufts School of Engineering, prepares you to be a leader. The MS in Engineering Management (MSEM) program develops forward-thinking professionals into transformative leaders, empowered with the business, strategic, and leadership skillsets and mindsets needed to take on today’s complex challenges and drive impact in the world.

The Bioengineering master'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.

The MS in Biophotonics at Tufts School of Engineering provides a broad curriculum that encompasses the design, engineering, and use of optical tools for diagnostics and therapeutics, advanced microscopes, and more. The program is administered by the Department of Biomedical Engineering with additional support from the Department of Electrical and Computer Engineering and the Data Intensive Studies Center.

Designed for students with a background in computer science, mathematics, or a related technical field, the MS in artificial intelligence curriculum covers AI concepts and techniques — including machine learning, deep learning, natural language processing, computer vision, and knowledge representation.

The Biomedical Engineering Department offers programs leading to the Master of Science (M.S.) and Doctor of Philosophy (Ph.D.) degrees, as well as a certificate program for those seeking professional development or as a gateway to the M.S. program.

The Computer Science master's program provides students with the tools to develop innovative solutions for today's digital challenges. From building applications to developing large-scale software systems, you'll gain new skills and experience unique learning opportunities across an array of areas.

With expert faculty, cutting-edge research, and innovative facilities, electrical engineering master's students at Tufts have the opportunity and resources to make significant contributions to the field and become leaders in industry, government, and academia.

The goal of the Master of Science (MS) degree program is to provide students with an opportunity to strengthen their technical backgrounds for pursuing successful professional careers in engineering research, development and management.

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 complexity of software and hardware systems calls for today’s computer engineers to be concerned with power consumption, security, and reliability not just functional correctness. This master’s program trains students to design hardware, software, and networking systems for the computers of today and tomorrow.

Software Systems Development students join one of the fastest-growing professions in technology today. Learn how to design, build, and test systems programs in C and C++ under the guidance of our dedicated faculty in the Department of Computer Science.

Human Factors is sometimes also referred to as "Engineering Psychology" or "Ergonomics." This is a rapidly growing field with wide engineering and non-engineering applications.