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Computer Science

Master's
Overview
Application Requirements
Career Outcomes
Faculty
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Application Deadlines
Fall: Aug 1 (domestic only), Mar 15 (international)
Spring: Sep 15
Summer: n/a
School/Department
Computer Science
Contact
gradadmissions@tufts.edu
Location
Medford/Somerville
Format
On-campus
Commitment Options
Full-time
Part-time (Daytime)
Average Duration
12 - 24 months
Credits
30

Overview

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.

Program Highlights

The Department of Computer Science provides an open, friendly, diverse, and collaborative atmosphere in which to study computer science. Students personalize their path of study and regularly access professors both in small classes and out of class. With a long history of interdisciplinary learning and research collaboration, the program brings together faculty, students, alumni, staff, and guests from across the field and beyond.

Students in the program can choose to complete a master's thesis or a project-based study track. 30 credits are required, of which at least 24 credits must be from approved courses. The remaining 6 credits may be earned from approved courses, or from conducting approved research or independent study, or from a combination of the two.

Graduate Cooperative Education (Co-Op) Program

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.

Program Outcomes

The master's program is designed for students seeking the skills and credentials to reach new job opportunities, to be promoted within their current organization, earn a higher average salary, or to pursue advanced research within a doctoral program. Students graduate from the program prepared to become leaders in industry, academia, and research.

Application Requirements

  • Application Fee
  • Resume/CV
  • Personal Statement
  • Transcripts
  • Three letters of recommendation
  • Official GRE scores (if applicable)
    • GRE General Test scores not required for applicants who will have received a degree from an institution located in the U.S. or Canada by time of enrollment. GRE scores required for all other applicants.
  • Official TOEFL, IELTS, or Duolingo test scores (if applicable)
    • Competitive scores for the Department of Computer Science are below:
      • TOEFL Total: 100
        • Reading: 26
        • Listening: 26
        • Writing: 22
        • Speaking: 25
      • IELTS Total: 7.5
        • Minimum of 7.0 for each subscore
      • Duolingo Total: 120
        • Literacy: 125
        • Conversation: 120
        • Comprehension: 135
        • Production: 105
  • Portfolio (optional)

Tuition and Financial Aid

We recognize that attending graduate school involves a significant financial investment. Our team is here to answer your questions about tuition rates and scholarship opportunities.

Please contact us at gradadmissions@tufts.edu.

Career Outcomes

Typing on a laptop with strands of code overlayed

Average Salary: $145K+

Tufts University Alumni: 125,000+ worldwide


*Source: Average salary statistic is from the U.S. Bureau of Labor Statistics Occupational Outlook Handbook.

Faculty

faculty photo

Jeffrey Foster

Professor and Chair of Computer Science
Computer Science
Programming languages, software engineering, security
faculty photo

Marty Allen

Associate Teaching Professor
Computer Science
Artificial intelligence, machine learning, reinforcement learning.
faculty photo

Megumi Ando

Minnie McNeal Kenny Assistant Professor
Computer Science
faculty photo

Johes Bater

Assistant Professor
Computer Science
privacy-preserving analytics, federated databases, differential privacy, private data sharing, secure computation, database performance, data science, trustworthy database systems
faculty photo

Remco Chang

Professor
Computer Science
Data visualization, visual analytics, human-computer interaction, databases, computer graphics
faculty photo

Ming Chow

Teaching Professor
Computer Science
cyber security, web engineering
faculty photo

Lenore Cowen

Professor
Computer Science
computational molecular biology, data science, graph algorithms, network science, discrete mathematics
faculty photo

Ethan Danahy

Research Associate Professor
Center for Engineering Education Outreach
design, implementation, and evaluation of different educational technologies
faculty photo

J.P. de Ruiter

Professor of Psychology and Computer Science
Psychology
Cognition and Psycholinguistics
faculty photo

Fahad Dogar

Associate Professor
Computer Science
Improving performance and reliability of networked systems, specifically cloud-based systems, mobile and wireless systems, and the Internet. Also, interested in designing technologies for developing regions.
faculty photo

Karen Edwards

Assistant Teaching Professor
Computer Science
low-dimensional geometric topology
faculty photo

Soha Hassoun

Professor
Computer Science
Machine Learning; Systems Biology; Metabolic Engineering, computer-aided design for integrated circuits
faculty photo

Michael Hughes

Assistant Professor
Computer Science
Machine learning : probabilistic models, Bayesian inference, variational methods, time-series analysis, semi-supervised learning Clinical informatics : electronic health record analysis
faculty photo

Robert Jacob

Professor
Computer Science
human-computer interaction, new interaction modes and techniques, implicit brain-computer interfaces, user interface software
faculty photo

Milod Kazerounian

Assistant Teaching Professor
Computer Science
programming languages, type systems, dynamic languages
faculty photo

Susan Landau

Professor in Cybersecurity and Policy
Computer Science
Cybersecurity policy, Privacy, Communications Surveillance
faculty photo

Dave Lillethun

Assistant Teaching Professor
Computer Science
computer science education, distributed systems, operating systems, networked systems, software development, secure systems and networking
faculty photo

Liping Liu

Associate Professor
Computer Science
Machine Learning, Data Science, Deep Learning, Generative Models, Time Series, Graph Learning
faculty photo

Noah Mendelsohn

Professor of the Practice
Computer Science
distributed systems, operating systems, World Wide Web
faculty photo

Megan Monroe

Associate Teaching Professor
Computer Science
data, visualization, language
faculty photo

Abani Patra

Center Director for Data Science of TIAI, Professor of Computer Science and Math
Computer Science
computational sciences, data driven modeling
faculty photo

Vladimir Podolskii

Associate Professor
Computer Science
Computational complexity, logical foundations of computer science, tropical geometry
faculty photo

Raja Sambasivan

Ankur and Mari Sahu Assistant Professor
Computer Science
Cloud computing, evolvability, debugging distributed systems.
faculty photo

Vasanth Sarathy

Research Assistant Professor
Computer Science
Embodied AI approaches for performing complex tasks that require creativity, reasoning, and alignment with social and ethical norms.
faculty photo

Matthias Scheutz

Karol Family Applied Technology Professor
Computer Science
Artificial intelligence, artificial life, cognitive modeling, foundations of cognitive science, human-robot interaction, multi-scale agent-based models, natural language understanding.
faculty photo

Mark Sheldon

Teaching Professor
Computer Science
programming languages, software systems, concurrency, distributed information systems
faculty photo

Elaine Short

Clare Boothe Luce Assistant Professor
Computer Science
human-robot interaction, accessibility, robotics, human-in-the-loop machine learning, assistive technology Applying human-centered design and disability community values to the development, deployment, and evaluation of AI and machine learning for robotics, including: human-centered human-in-the-loop machine learning; disability-friendly assistive robotics; autonomous HRI in groups, public spaces, and other human-human contexts; and accessibility and disability inclusion in robotics education and the computing research community.
faculty photo

Jivko Sinapov

Associate Professor
Computer Science
Artificial Intelligence, Developmental Robotics, Computational Perception, Robotic Manipulation, Machine Learning, Human-Robot and Human-Computer Interaction
faculty photo

Donna Slonim

Professor
Computer Science
data science, algorithms for analysis of biological networks, gene and pathway regulation in human development, algorithms for precision medicine, computational approaches to pharmacogenomics and drug discovery or repositioning
faculty photo

Diane Souvaine

Professor
Computer Science
computational geometry, design and analysis of algorithms, computational complexity
faculty photo

Richard Townsend

Assistant Teaching Professor
Computer Science
functional languages, compilers for embedded systems, program analysis and optimization, embedded domain-specific languages
faculty photo

Daniel Votipka

Lin Family Assistant Professor
Computer Science
computer security and privacy, secure development, security professionals, human-computer interaction, mobile security

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