January 28, 2026 - Admissions Webinar - FOCUS ON FACULTY: MSE-DS Online with James Gee скачать в хорошем качестве

January 28, 2026 - Admissions Webinar - FOCUS ON FACULTY: MSE-DS Online with James Gee

On January 28, 2026, the Penn Engineering Online Admissions Team presented a webinar with Dr. James Gee who serves as Program Director for the MSE-DS Online degree program. He is a professor of Computer and Information Science at Penn Engineering and professor of Radiology at the Perelman School of Medicine. The online Master of Science in Engineering in Data Science (MSE-DS Online) degree program is ideal for those who are interested in solving problems and those who are quantitively and algorithmically-minded with a demonstrated interest in data science. The aim of the program is to graduate students who are able to combine a background in scalable, robust computational and statistical methods with an application domain — in areas across disciplines, such as engineering, social sciences, marketing, biomedical science, arts and humanities. This webinar shared insights into the world-class MSE-DS Online faculty, the rigorous foundational curriculum, and collaborative student community. Webinar participants also heard about best practices from our Admissions Team and learned how to prepare a strong MSE-DS Online application. Please note that recordings of past webinars may contain outdated information. Please find the most up-to-date information for application requirements, current tuition, fees, and deadlines on our website: https://online.seas.upenn.edu/degrees/ 00:00 Introductions 03:14 Why a Penn degree? 09:28 Meet Dr. James Gee 11:15 Who is MSE-DS Online for? 11:59 MSE-DS Online Program Overview 12:55 MSE-DS Career Outcomes 14:37 MSE-DS Curriculum 19:58 Online Course Experience 24:43 Getting Involved in the Community 31:02 Application Information 37:35 Tuition & Financial Aid 38:49 Dual Degree Program Q&A 41:02 57:39 Concluding Remarks ADDITIONAL INFORMATION ========================================================= Website: http://online.seas.upenn.edu LinkedIn:   / pennengonline   Facebook:   / pennengonline   Twitter:   / pennengonline