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Computer Science (Post-Bacc)

Certificate
Overview
Application Requirements
Faculty
Related Programs
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Application Deadlines
Fall: Jun 1 (international) and Aug 1 (domestic)
Spring: Sep 15 (international) and Dec 15 (domestic)
Summer: n/a
School/Department

Computer Science

Location
Medford/Somerville
Format
On-campus
Commitment Options
Full-time
Part-time (Daytime)
Part-time (Evenings)
Average Duration
12 - 24 months
Credits
Varies
Contact

gradadmissions@tufts.edu


Overview

The Computer Science post-baccalaureate certificate program provides an opportunity for academically talented, highly motivated adult students, with at least a bachelor's degree, to prepare for a new career or graduate work in computer science.

Program Highlights

The program offers students with a bachelor’s degree, but few computer science courses, the opportunity to earn the equivalent of an undergraduate minor in computer science by completing the requirements for the minor. It is designed to give the student with a nontechnical, liberal arts degree the introductory knowledge base to enter the technology field or continue on to graduate study in computer science.

The program requires five Tufts courses, which can be completed in as few as three semesters or can be pursued on a more long-term basis. Completion of the program requires grades of B- or better in all courses. Courses numbered above 100 award graduate credit and are transferable into the Master's of Science in Computer Science program upon acceptance into that program.

Career Outcomes

The concentrated, rigorous program of study, equivalent to a minor program in computer science, prepares individuals to start a new career in high technology or to continue on for graduate study.

The curriculum spans across computer science disciplines and provides you with foundational knowledge and skills development in data structures, algorithms, hardware, and systems.

Application Requirements

  • Application Fee
  • Resume/CV
  • Personal Statement
  • Transcripts
  • One letter of recommendation (Certificate Track) or three letters of recommendation (Master's Track)
  • GRE scores (if applicable)
    • GRE scores are no longer required for candidates with an undergraduate degree from an accredited U.S. or Canadian institution. GRE scores are required for applicants who don't have a degree from a U.S. institution.
  • Official TOEFL, IELTS, or Duolingo test scores (if applicable)
  • 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.

Faculty

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Jeffrey Foster

Professor and Chair of Computer Science
Programming languages, software engineering, security
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Martin Allen

Associate Teaching Professor
Artificial intelligence, machine learning, reinforcement learning.
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Remco Chang

Associate Professor
Data visualization, visual analytics, human-computer interaction, databases, computer graphics
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Ming Chow

Associate Teaching Professor
cyber security, web engineering
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Alva Couch

Associate Professor
data science, software systems engineering, performance analysis, system, network, and data management
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Lenore Cowen

Professor
data science, graph algorithms, distributed algorithms, approximate routing, classification and clustering for high-dimensional data, coloring and its generalizations, computational molecular biology
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Ethan Danahy

Research Associate Professor
design, implementation, and evaluation of different educational technologies
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J.P. de Ruiter

Professor of Psychology and Computer Science
Cognition and Psycholinguistics
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Fahad Dogar

Associate Professor
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.
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Karen Edwards

Assistant Teaching Professor
low-dimensional geometric topology
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Samuel Guyer

Associate Professor
Programming languages, program analysis, software reliability, application security, runtime systems, memory management, domain-specific programming languages, compilers, compiler optimizations, program performance
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Soha Hassoun

Professor
computational methods for systems biology and metabolic engineering, computer-aided design for integrated circuits
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Bert Huang

Assistant Professor
Machine learning, structured output learning, algorithmic fairness, weak supervision, probabilistic inference, graph mining, social media analysis, data science, big data, computational social science.
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Michael Hughes

Ann W. Lambertus and Peter Lambertus Assistant Professor
Machine learning : probabilistic models, Bayesian inference, variational methods, time-series analysis, semi-supervised learning Clinical informatics : electronic health record analysis
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Robert Jacob

Professor
human-computer interaction, new interaction modes and techniques, implicit brain-computer interfaces, user interface software
Academic Leave
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David Lillethun

Assistant Teaching Professor
computer science education, distributed systems, operating systems, networked systems, software development, secure systems and networking
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Liping Liu

Assistant Professor
Data Science, Machine Learning, Bayesian Methods, Deep Learning, Graph
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Noah Mendelsohn

Professor of the Practice
distributed systems, operating systems, World Wide Web
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Megan Monroe

Associate Teaching Professor
data, visualization, language
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Norman Ramsey

Associate Professor
Programming languages and systems; functional programming
Academic Leave
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Raja Sambasivan

Ankur and Mari Sahu Assistant Professor
Cloud computing, evolvability, debugging distributed systems.
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Matthias Scheutz

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

Associate Teaching Professor
programming languages, software systems, concurrency, distributed information systems
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Elaine Short

Clare Boothe Luce Assistant Professor
Algorithmic human-robot interaction for robust and socially appropriate assistance to human users, especially users with disabilities.
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Jivko Sinapov

Assistant Professor
Artificial Intelligence, Developmental Robotics, Computational Perception, Robotic Manipulation, Machine Learning, Human-Robot and Human-Computer Interaction
Academic Leave
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Donna Slonim

Professor
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
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Diane Souvaine

Professor
computational geometry, design and analysis of algorithms, computational complexity
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Richard Townsend

Assistant Teaching Professor
functional languages, compilers for embedded systems, program analysis and optimization, embedded domain-specific languages
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Daniel Votipka

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

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