The 100% online Data Science master's program trains students to use statistics, data visualization, and machine learning to analyze and understand the world around them.
The program's interdisciplinary coursework is designed to set you apart as a highly trained practitioner with the skills needed to move the data science field forward‚ is delivered 100% online. Composed of ten courses, including a two-course Capstone Project, the program has a total of 32 credit hours that can be completed in less than two years.
For the 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. Other required courses in the program include:
Administered jointly between the Department of Computer Science and the Department of Electrical and Computer Engineering, the Data Science program at Tufts prepares students to address real-world problems with data-centric insights.
Students engage in a variety of data analysis techniques, including machine learning, optimization, statistical decision-making, information theory, and data visualization. Graduates of the program go on to work on interdisciplinary projects with data components including communicating with engineers, scientists, businesses, computer scientists, and medical professionals.
Prerequisites for the Data Science master's program include a Bachelor of Science degree in a science, technology, engineering, or mathematics (STEM) field. Applicants with Bachelor's degrees in non-STEM fields may begin study with a Certificate in Data Science that, in an additional term‚ gives the applicant a sample of the program.
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.
Average Salary: $108K+
Projected Job Growth (2022-2032): 35%
*Sources: Average salary and projected job growth statistics are from the U.S. Bureau of Labor Statistics Occupational Outlook Handbook.
Research/Areas of Interest: Artificial intelligence, machine learning, reinforcement learning.
Research/Areas of Interest: Photon-counting imaging, wavefront sensing, low-light passive imaging.
Research/Areas of Interest: data science, software systems engineering, performance analysis, system, network, and data management
Research/Areas of Interest: Artificial Intelligence, Developmental Robotics, Computational Perception, Robotic Manipulation, Machine Learning, Human-Robot and Human-Computer Interaction