Data Science (Online)

The online MSDS program prepares you for a next-generation career in data analysis and data-intensive science. The program is focused on probabilistic systems analysis, machine learning, data mining, and big data, with courses in data infrastructure and data analysis.

 

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  • Program Highlights
  • Faculty
  • Application Requirements
  • Contact

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Contact us:

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

Administered jointly by the Department of Computer Science, the Department of Electrical and Computer Engineering, and the Department of Mathematics, the MSDS program is interdisciplinary in nature and forward-thinking in its approach. 

The online MSDS program will launch in January 2021 with classes beginning in Fall 2021. Program highlights include:

Data-Centric Problem Solving
Designed for students with bachelor’s degrees, the online MSDS program prepares you for a next-generation career in data analysis and data-intensive science. The program is focused on probabilistic systems analysis, machine learning, data mining, and big data, with courses in data infrastructure and data analysis. 
 
A Student-Focused Experience
As an MSDS student, you will engage in small, weekly online classes that allow you to collaborate with a diverse group of peers and form meaningful connections with faculty. Outside of the virtual classroom, you’ll complete self-paced coursework and have the opportunity to meet with professors during online office hours.
 
Asynchronous Learning 
Each week, you will complete online modules — on your own schedule. Modules are led by Tufts’ world-class faculty and feature course topics that are brought to life through engaging video content and instruction. Modules prepare you for weekly online class sessions.  
 
Online Class Sessions 
You will interact directly with faculty and peers during virtual classes hosted via web camera. Class sizes are purposely kept small to encourage meaningful discourse and foster a supportive, engaging learning environment.
 
Course Requirements
You will complete a total of nine courses in the program, including a two-course capstone project. Required courses include:
 
> Probabilistic Systems Analysis
> Introduction to Machine Learning and Data Mining
> Big Data
 
For your two-course capstone project, you will be asked to propose a substantial data science project, carry it through to completion, and provide a professional presentation to faculty and peers that demonstrates what you’ve learned. Each course you take across the curriculum will prepare you for the demands of the capstone course.

Faculty

Martin Allen
Associate Teaching Professor
Ph.D. , University of Massachusetts Amherst
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
Application Requirements:
 
In order to complete your application, please provide us with information that will allow us to learn more about you. The program’s admission requirements include: 
 
> Unofficial transcripts of your post-secondary academic record
> Three letters of recommendation
> Personal statement
> Résumé or curriculum vitae
> TOEFL or IELTS scores for non-native speakers of English
> GRE scores
- GRE scores are not required for applicants who have an undergraduate or graduate degree from an accredited U.S. institution. GRE scores are required for applicants who don’t have a degree from a U.S. institution.
 

If you have an immediate question you’d like answered, please reach out to an enrollment advisor today at onlinemsds@tufts.edu.