MSE in Data Science
Penn’s Master of Science in Engineering (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 Data Science Program can typically be completed in one-and-a-half 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 Penn Wharton Budget Model and 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.Degree Requirements
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. There are also several extracurricular student groups, including the Penn Data Science Group, which runs speaker panels, events with companies, data projects and kaggle teams . The Philadelphia area is host to multiple biomedical data and cloud startups.
For more information, please visit the MSE in Data Science website.
Interested applicants from outside Penn should apply via the Penn Engineering Graduate Admissions site.
Current Penn students who are interested in the accelerated master’s, dual degree, and transfer options, please visit the MSE in Data Science requirements.
Your CIS Contacts:
Graduate Coordinator for on-campus MCIT, CIS/MSE and CGGT programs
Office: 308 Levine
Program Manager for DATS (Data Science MSE)
Office: 308 Levine
Doctoral Program Manager
Office: 310 Levine
Graduate Coordinator for ROBO
Office: 459 Levine
Liz Wai-Ping Ng
Associate Director for Embedded Systems MSE program
Office: 313 Levine
PICS Program Coordinator Academic Advisor for SCMP
Office: 3401 Walnut, 5th Fl.