Data Science

The emerging discipline of data science has become essential to making decisions, understanding observations, and solving problems in today’s world.  Whether we want to apply artificial intelligence techniques to a problem, build a computational model of real-world phenomena, statistically test a hypothesis, or analyze structured, textual or image data, data science and data analysis techniques are becoming an essential part of every scientist, researcher, engineer, and policy maker’s tool chest.

Penn’s MSE in Data Science prepares students for a wide range of data-centric careers, whether in technology and engineering, consulting, science, policy-making, or understanding patterns in literature, art or communications.

The Program

The Data Science degree program can be completed in one to two years. It blends leading-edge courses in core topics such as machine learning, big data analytics, and statistics, with a variety of electives and an opportunity to apply these techniques in a domain specialization – a depth area – of choice.

The depth area offers both preparatory coursework and a thesis or practicum in a data science application area.  Potential areas of specialization include network science (the Warren Center for Network and Data Science), digital humanities (the Price Lab for Digital Humanities), biomedicine (the Institute for Biomedical Informatics), and public policy (the Annenberg Center for Public Policy) — as well as more traditional opportunities in Computer and Information Science and Electrical and Systems Engineering.  For students interested in applying data analysis and modeling to other areas within engineering and the physical sciences, Penn offers a specialized and synergistic program in Scientific Computing.

Please see the “information session” presentation for more detail.

Data Science at Penn

Penn provides the perfect environment for data science enthusiasts, with its strong cross-disciplinary traditions.  Biomedical informatics, communications and public policy, robotics, machine learning and artificial intelligence, and data privacy are of broad interest across campus, as evidenced by the Centers listed above.  There are also several extracurricular student groups, including the Penn Data Science Group, which run hackathons and datathons.  The Philadelphia area is host to multiple biomedical data and cloud startups.

Contact us

To apply to the program, please click here if you are already a Penn student interested in submatriculating, transferring, or doing a dual-degree.

Please click here if you are not yet a Penn student, but would like to apply to the Master’s of Science and Engineering (MSE) in Data Science.

For questions about the MSE in Data Science, please contact us by email.