M.S. in Data Science
The M.S. in Data Science is offered jointly by the departments of Computer Science and Electrical and Computer Engineering. The program prepares students for future careers and/or further study in Data Science. The M.S.D.S. is a one-year program that may be completed either in nine or 12 months of study, or at a student's own pace. Master's degrees require a minimum of 30 SHUs and the fulfillment of at least 10 courses at the 100-level or above with grades of S (satisfactory) or at least a B-.
The M.S.D.S. is built upon a disciplinary core of statistics and machine learning, with depth provided by courses in each of the following:
- Data infrastructure and systems: those 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: those 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: 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.
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. Learn more about studying Data Science at Tufts.