Ambitious MCIT Online graduates
with a strong interest in applying data science and AI to educational environments can pursue a dual degree in the M.S.Ed. in Learning Analytics and AI program through the Graduate School of Education.
MCIT Online and M.S.Ed. in Learning Analytics & AI
Which pathway applies to you?
Make a selection below to view accurate program and application information.
This dual degree program serves University of Pennsylvania graduate students from both the School of Engineering and Applied Science (SEAS) and the Graduate School of Education (GSE). Please select the path that applies to your current school of enrollment to view the dual degree details.
Penn Engineering graduate students in the online Master of Computer and Information Technology (MCIT Online) degree program, who apply and are accepted into the M.S.Ed. in Learning Analytics and AI (M.S.Ed-AI) program, will first complete their MCIT Online degree with Penn Engineering and will then matriculate into the M.S.Ed-AI degree program with GSE. Students pursuing this dual degree may count up to two GSE course units toward their MCIT Online degree requirements and up to two MCIT Online course units may count toward the M.S.Ed-AI degree requirements. This coordinated program between SEAS and GSE enables students to earn two graduate degrees with a total of 16 course units.
DUAL DEGREE PROGRAM:
MCIT Online and
M.S.Ed. in Learning Analytics & AI
Table of Contents
REQUEST INFORMATION
MCIT Online students interested in learning more about the M.S.Ed-AI degree should visit the Graduate School of Education website and consult the Learning Analytics and Artificial Intelligence, M.S.Ed. program page.
Eligibility
Highly motivated MCIT Online graduate students are welcome to apply for this dual degree. Current MCIT Online students may apply during their last semester before graduation. Students must graduate with the MCIT Online degree before matriculating into the M.S.Ed-AI Dual Degree program. Please see the GSE website and review the Learning Analytics and AI program overview page for more information about GSE’s application process.
Example Plan of Study
MCIT Online → M.S.Ed-AI
If you are considering pursuing this dual degree, we highly recommend that you discuss a plan of study with your academic advisor before registering for any MCIT Online electives.
Dual Degree CU Distribution
| Course Units | Program Selections |
|---|---|
| 6 CUs | MCIT Core |
| 2 CUs | Approved, transferrable MCIT CUs that are relevant to M.S.Ed-AI Degree: CIS 5450: Big Data Analytics, CIS 5210: Artificial Intelligence, CIS 5300: Natural Language Processing |
| 2 CUs | Approved, MSEd-AI CUs that are relevant to MCIT Online Degree: EDUC 6123 Big Data, Education, and Society, EDUC 6185: Databases and Data Management*, EDUC 5183: Adaptive Learning Systems, EDUC 5144: Dashboard for Discovery and Learning Applications *Elective that cannot be taken by dual degree students without them having to take an additional required course. |
| 6 CUs | M.S.Ed-AI Online remaining requirements** |
| 16 CUs Total |
** In order to graduate with the M.S.Ed-AI degree, a minimum of 6 CUs must be taken towards the degree. All 10 CUs applied towards the M.S.Ed-AI degree are required to be taken at Penn.
How to Apply
In order to apply for the M.S.Ed-AI degree program, MCIT Online students should submit their application to the Graduate School of Education during their final semester of the MCIT Online degree program. Review the GSE application website to find more detailed application instructions. Consult the M.S.Ed. in Learning Analytics and AI program page to confirm dates and deadlines related to the GSE application.
