This four-course, graduate-level Computer Science certificate program will update your skills and broaden your knowledge in computer science, through a design-your-own-specialty certificate taught by Tufts' renowned faculty in computer science.
The Computer Science certificate program is open to individuals with at least a bachelor's degree in Computer Science, or a closely related field with approved work experience. Computer science certificate courses are transferable into the Tufts master's program.
The flexible program allows the student to cluster course electives around a particular interest or specialty computer science research area. Courses may be chosen from regular department offerings or from COMP 150 Special Topics offerings, which are offered in particularly hot areas of interest or in a Tufts faculty member's unique specialty area.
Completion of the certificate requires grades of B- or better in all courses.
With technology advancing at a rapid pace, opportunities for advanced applications of computer science are limitless. Professionals with experience and knowledge of the hottest topics in computer science are rapidly advancing in salary and opportunity. The certificate program provides students with career-boosting skills and prepares them for advanced study within a master's or doctoral program.
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.
Research/Areas of Interest: Programming languages, software engineering, security
Research/Areas of Interest: Artificial intelligence, machine learning, reinforcement learning.
Research/Areas of Interest: Data visualization, visual analytics, human-computer interaction, databases, computer graphics
Research/Areas of Interest: cyber security, web engineering
Research/Areas of Interest: data science, software systems engineering, performance analysis, system, network, and data management
Research/Areas of Interest: computational molecular biology, data science, graph algorithms, network science, discrete mathematics
Research/Areas of Interest: design, implementation, and evaluation of different educational technologies
Research/Areas of Interest: Cognition and Psycholinguistics
Research/Areas of Interest: 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.
Research/Areas of Interest: low-dimensional geometric topology
Research/Areas of Interest: Machine Learning; Systems Biology; Metabolic Engineering, computer-aided design for integrated circuits
Research/Areas of Interest: Machine learning : probabilistic models, Bayesian inference, variational methods, time-series analysis, semi-supervised learning Clinical informatics : electronic health record analysis
Research/Areas of Interest: human-computer interaction, new interaction modes and techniques, implicit brain-computer interfaces, user interface software
Research/Areas of Interest: computer science education, distributed systems, operating systems, networked systems, software development, secure systems and networking
Research/Areas of Interest: Machine Learning, Data Science, Deep Learning, Generative Models, Time Series, Graph Learning
Research/Areas of Interest: distributed systems, operating systems, World Wide Web
Research/Areas of Interest: data, visualization, language
Research/Areas of Interest: Cloud computing, evolvability, debugging distributed systems.
Research/Areas of Interest: Artificial intelligence, artificial life, cognitive modeling, foundations of cognitive science, human-robot interaction, multi-scale agent-based models, natural language understanding.
Research/Areas of Interest: programming languages, software systems, concurrency, distributed information systems
Research/Areas of Interest: 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.
Research/Areas of Interest: Artificial Intelligence, Developmental Robotics, Computational Perception, Robotic Manipulation, Machine Learning, Human-Robot and Human-Computer Interaction
Research/Areas of Interest: 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
Research/Areas of Interest: computational geometry, design and analysis of algorithms, computational complexity
Research/Areas of Interest: functional languages, compilers for embedded systems, program analysis and optimization, embedded domain-specific languages
Research/Areas of Interest: computer security and privacy, secure development, security professionals, human-computer interaction, mobile security