Tufts University - School of Engineering MSc in Data Science
Tufts University - School of Engineering

Tufts University - School of Engineering

MSc in Data Science

  • Medford, USA
  • Boston, USA

MSc

1 up to

2 years

English

Full time, Part time

15 Jan 2027

Sep 2027

USD 1,855 / per credit

On-Campus, Distance Learning

Key Summary

About: Tufts University School of Engineering offers the MSc in Data Science programme, jointly run by the Departments of Computer Science and Electrical and Computer Engineering. Curriculum centers on statistics and machine learning; data infrastructure and systems; data analysis and interfaces; computational/theoretical foundations; and practical case studies. The Graduate Cooperative Education (Co‑Op) offers up to six months full-time work experience.

Career Outcomes: Graduates enter roles like data scientist, machine learning engineer, data engineer, visualization specialist, and systems engineer, working across industry, government, and startups. Core skills include applied machine learning, big data, cloud computing, visualization, signal processing, and numerical methods.

The master's program is jointly administered by the Department of Computer Science and the Department of Electrical and Computer Engineering.

The program is built upon a disciplinary core of statistics and machine learning, with depth provided by courses in each of the following categories:

  • Data infrastructure and systems: systems and strategies that are core to interacting with data, including computer networks, computer security, internet-scale systems, cloud computing, and others.
  • Data analysis and interfaces: components of computing concentrated around effective human interaction with computers, including human-computer interaction, graphics, visualization, and others.
  • Computational and theoretical aspects of data science: mathematical foundations, including information theory, signal and image processing, and numerical analysis.
  • Practice of data science: examples of effective use of data science in practice, including case studies and applications of data science principles to real-world problems.

Graduate Cooperative Education (Co-Op) Program

The School of Engineering's Graduate Cooperative Education (Co-Op) Program provides students with the opportunity to apply the theoretical principles they have learned in their coursework to real-world engineering projects. Gain up to six months of full-time work experience, build your resume, and develop a competitive advantage for post-graduation employment.