Arts & Sciences | Engineering
Graduate Admissions
Explore programs

Data Science (Online Certificate)

Certificate
Overview
Application Requirements
Faculty
Related Programs
Apply Request Info
Application Deadlines
Fall: tbd
Spring: Sep 9, Sep 30, Oct 21, Nov 11
Summer: tbd
School/Department
Electrical and Computer Engineering
Computer Science
Contact
gradadmissions@tufts.edu
Location
Remote
Format
Online
Commitment Options
Full-time
Part-time
Average Duration
12 - 24 months
Credits
Varies

Overview

The Certificate in Data Science prepares STEM students to analyze and understand the world around them using statistics, data visualization, and machine learning. The certificate is jointly administered by the Department of Computer Science and the Department of Electrical and Computer Engineering.

Program Highlights

The online certificate program in Data Science is intended for students who possess a Bachelor of Science in a Science, Technology, Engineering, or Mathematics (STEM) field, but who lack sufficient background in data science to be admitted to the Master of Science in Data Science or wish to receive some training in the discipline.

Students work closely with faculty to receive training across at least five courses within the School of Engineering.

Upon successful completion of certificate requirements with grades of B- or better, students may either receive the certificate or apply for admission to the Master of Science in Data Science program. If accepted to the master's program, all graduate credits earned toward the certificate with a grade of B- or better may be transferred to apply toward master's degree requirements.

Career Outcomes

The certificate prepares students for employment in emerging field of data science and prepares students for advanced graduate study. Graduates of the program apply their training to business applications or they may provide data-driven insights that assist professionals in disciplines such as medicine, architecture, education, and more.

Application Requirements

  • Application Fee
  • Resume/CV
  • Personal Statement
  • Transcripts
  • One letter of recommendation
  • Official TOEFL, IELTS, or Duolingo test scores (if applicable) 

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

faculty photo

Marty Allen

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

Alva Couch

Associate Professor
Computer Science
data science, software systems engineering, performance analysis, system, network, and data management
faculty photo

Shuchin Aeron

Associate Professor
Electrical and Computer Engineering
data science, statistical signal processing, inverse problems, compressed sensing, information theory, convex optimization, machine learning, algorithms for geophysical signal processing, compressed sensing architectures and evaluation, video and image data acquisition and processing
faculty photo

Lenore Cowen

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

Michael Hughes

Ann W. Lambertus and Peter Lambertus 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

Usman Khan

Professor
Electrical and Computer Engineering
Optimization and Control, Machine Learning, Signal Processing, Graph Theory, Decentralized Algorithms
faculty photo

Liping Liu

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

Related Programs