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Office of Graduate Admissions
Bendetson Hall
Medford, MA 02155
(617) 627-3395
gradadmissions@tufts.edu

Data Science (M.S.)

The M.S. in Data Science is offered jointly by the departments of Computer Science and Electrical and Computer Engineering.

The M.S. in Data Science is a program that may be completed in as little as one year of study, or at a student's own pace. Prerequisites for the M.S. in Data Science include a bachelor’s degree in a STEM field, including Mathematics, Science, Engineering, Computer Science, or a related discipline. Applicants with bachelor’s degrees in non-STEM fields can begin study with a Certificate in Data Science that, in an additional term or year, gives the applicant a sample of the program. The courses in the certificate, upon successful completion with a grade of B- or better and admission to the M.S. in Data Science, may be transferred to apply to the M.S. in Data Science program.

Data Science (Certificate)

The Certificate 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. 

M.S. Curriculum

Requirements for the degree include nine courses, and must include:

  • EE 104  Probabilistic Systems Analysis
  • COMP 135 Introduction to Machine Learning and Data Mining
  • COMP 119 Big Data

Four electives must include:

  1. One course in data infrastructure (including Computer Science 112, 115, 116, 117, 118, and 151)
  2. One course in data analysis and/or interfaces (including Computer Science 152, 167, 171, 175, 177; ME 150; CEE 187)
  3. One course in computational and theoretical aspects of data analysis (including COMP 131, 136, 153, 160, 236; Math 123, 126, 128, 152, 155, 158, 161, 162; EE 109, 127, 140
  4. A final course credit may be fulfilled by a course in the practice of data science (COMP 154), or a master’s project in Data Science (COMP 283)

Eight more credit hours are required in categories a-c in consultation with the student’s advisor.

Certificate Curriculum

The Certificate in Data Science requires five courses, including:

  • EE 104
  • COMP 135
  • One elective in each of the following areas:
    • Data infrastructure (including COMP 112, 115, 116, 117, 118, and 151)
    • Data analytics and/or interfaces (including COMP 152, 167, 171, 175, 177; ME 150; CEE 187)
    • Computational and theoretical aspects of data analysis (including COMP 136, 153, 236; Math 123, 126, 128, 152, 155, 158, 161, 162; EE 109, 127, 140)
  • In addition, any undergraduate prerequisites required for these courses may be taken as part of the certificate.

Faculty

Alva Couch
Associate Professor
Ph.D. , Tufts University
Policy-Based Languages for System and Network Administration, Support Tools for Teaching Hands-On Computer Science
Shuchin Aeron - Associate Professor
Shuchin Aeron
Associate Professor
Ph.D. , Boston University
Technical foci: Statistical Signal Processing (SSP), Inverse Problems, Compressed Sensing, Information Theory, Convex optimization, Machine learning; Application areas: Algorithms for geophysical signal processing, Compressed Sensing architectures and evaluation, video and Image data acquisition and processing, bioengineering-metabolic networks
Lenore Cowen
Professor
Ph.D. , Massachusetts Institute of Technology
Graph Algorithms, Distributed Algorithms, Approximate Routing, Classification and Clustering For High-Dimensional Data, Coloring and Its Generalizations, Computational Molecular Biology
Michael Hughes - Assistant Professor
Michael Hughes
Assistant Professor
Ph.D , Brown University
Machine learning, Probabilistic models, Optimization, Clinical informatics
Usman Khan
Associate Professor
Ph.D. , Carnegie Mellon University
Robotics, Signal Processing, Sensing in The Context of Distributed Estimation and Control Algorithms, Distributed, Iterative Algorithms in Random Environments
Liping Liu - Assistant Professor
Liping Liu
Assistant Professor
Ph.D , Oregon State University
Machine learning, Graphical models, Computational sustainability
Donna Slonim
Professor
Ph.D. , Massachusetts Institute of Technology
Algorithms for Mircroarray Data Analysis, Inference of Genetic Regulatory Networks, Interpretation of Biological Experiments in the Context of Genomic and Systems Information
Brian Tracey
Professor of the Practice and Research Assistant Professor
Ph.D. , Massachusetts Institute of Technology
Imaging Techniques and Image Processing, Computational Acoustics and Acoustical Signal Processing, Biomedical Signal Processing and Medical Device Development
M.S. Program

M.S. Program

Application Deadline


Spring: September 15
Fall: December 15

Application Requirements:


> Application Fee
> Resume/CV
> Personal Statement
> Official GRE scores

- GRE not required for current Tufts undergraduates applying to the M.S. degree program

- GRE scores may be waived for part-time students with five years of industry experience who are U.S. citizens or permanent residents. Visit go.tufts.edu/engmasters for complete details. If you believe you are eligible to have the GRE waived based on these requirements, please contact gradadmissions@tufts.edu with the subject line “Engineering part-time Master's GRE requirement"

> Official TOEFL or IELTS, if applicable
> Transcripts
> Three letters of Recommendation

Certificate Program

Certificate Program

Application Deadline


Spring: September 15 (international applicants) and December 31 (domestic applicants)
Fall: June 1 (international applicants) and August 1 (domestic applicants)

Application Requirements


> Application Fee
> Resume/CV
> Personal Statement
> Official TOEFL or IELTS, if applicable
> Transcripts
> One Letter of Recommendation

For questions about this program, including scholarships and assistantships, please contact the graduate program director.
 

Department of Computer Science
Halligan Hall
161 College Avenue
Medford, MA 02155
Office: 617-627-2225
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School of Engineering
Tufts University
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Medford, MA 02155
Office: 617-627-3217