MSE-DS just started so outcomes are not available just yet, but we have a career services center that will assist you in your job search.
Admission to MSE-DS Online is very competitive. We look for applicants who are likely to succeed in, benefit from, and contribute to the program. For tips on how to strengthen your application, read our Admissions Advice articles.
No, only the method of instruction is different. For the courses offered, the content is the same and taught by the same world class, renowned professors that teach in the on-campus program.
Please refer to the MSE-DS Online admissions page for complete details.
In addition to the online application, you’ll need to submit a personal statement, letters of recommendation, transcripts, and a resume, along with TOEFL scores if you’re an international applicant or a non-U.S. citizen/permanent resident. For details, see MSE-DS Admissions page.
No, the MSE-DS program does not require a thesis
It’s possible to go on to a PhD program, but you would likely need to supplement your studies with research to be prepared for a PhD program.
MSE-DS Online is a degree centered on computer science. The curriculum is computationally focused and includes courses such as artificial intelligence, big data systems, data science for health, deep learning, natural language processing, internet and web systems, machine learning, etc. For the courses that are offered, the content is the same between on-campus and online, only the medium of instruction is different.
Current Penn Engineering students may begin the Graduate Certificate application process in the final term of their degree program.
Yes. MSE-DS Online students are eligible for VA education benefits.
No, the program is 100 percent online. That said, one of our optional Open Elective courses, DATO 5990 Practicum, includes a one-week on-campus intensive component.
MSE-DS Online is a degree centered on computer science. The curriculum is computationally focused and includes courses such as artificial intelligence, big data systems, data science for health, deep learning, natural language processing, internet and web systems, machine learning, etc. These courses will primarily correspond with two of the on-campus elective tracks: Data-centric programming and Data Analysis/Artificial Intelligence. For the courses that are offered, the content is the same between on-campus and online.