Main navigation
- Programs
- Subjects
- Universities
- Destinations
- Advice
The University of Pennsylvania's Master of Science in Engineering (MSE) in Data Science equips graduates for diverse data-driven professions across technology, engineering, consulting, scientific research, policy development, or analyzing trends in humanities and communications. Typically spanning 18 to 24 months, this program combines cutting-edge instruction in fundamental subjects like machine learning, big data analysis, and statistical methods with elective options and practical application through specialized focus areas. Students select a concentration that includes preparatory courses and either a thesis or hands-on project in their chosen application field. Specialization possibilities encompass network science (through the Warren Center), digital humanities (via the Price Lab), biomedical informatics (at the Institute for Biomedical Informatics), and policy analysis (through Penn Wharton Budget Model and Annenberg Center) - alongside conventional tracks in Computer Science and Electrical Engineering. For those focusing on computational approaches to physical sciences, Penn provides a complementary Scientific Computing program.
Applicants for master’s and doctoral programs must have obtained a bachelor’s degree from an accredited School or University prior to intended matriculation date.
TOEFL Score Recommendations – a minimum of 100 is recommended for all programs. There is not a required score.
IELTS Score Recommendations – a minimum of 7.5 is recommended for all programs. There is not a required score.