Technology and Innovation, MSE
The online program emphasizes the application of advanced engineering methods to technology-driven innovation. Its curriculum combines coursework in entrepreneurship, product design, and technology strategy with focused study in one of several Advanced Technical Concentrations. Students complete four core courses in innovation and professional practice, three courses within a selected concentration area—initially Data Science, Artificial Intelligence, or Software Systems—and additional elective courses that provide technical breadth or allow preparation for advanced study in related fields. The program is structured for working professionals seeking to strengthen both their technical expertise and their ability to apply engineering knowledge in innovative contexts.
Students who wish to pursue coursework spanning two Advanced Technical Concentrations may do so by using their free elective courses, provided all degree requirements are met. Such plans should be developed in consultation with an academic advisor to ensure appropriate depth and coherence. Courses may be applied toward either core or one Advanced Technical Concentration and may not be double-counted to satisfy core and multiple concentration requirements simultaneously.
The degree and major requirements displayed are intended as a guide for students entering in the Fall of 2026 and later. Students should consult with their academic program regarding final certifications and requirements for graduation.
MSE-TI Curriculum
| Code | Title | Course Units |
|---|---|---|
| Core Courses | ||
| EAS 5440 Technology Innovation and Entrepreneurship | 1 | |
| Choose 3 of the following: | 3 | |
| Engineering Economics | ||
| Intellectual Property and Business Law for Engineers | ||
| Engineering Product Management from Theory to Practice | ||
EAS 5XXX IPD course on Product Design (To Be Developed) | ||
| Technology Ethics and the Legal Landscape | ||
| Free Electives | 3 | |
| Any online CIT, CIS, ESE, EAS, or ENGR courses at the 5000 level or higher may be chosen as free electives. 1 | ||
| Advanced Technical Concentration 2 | 3 | |
| Students select one concentration and complete three courses within that area: | ||
Data Science | ||
Two courses must be selected from the MSE in Data Science Online (MSE-DS Online) core courses, and one additional course may be chosen from its core or technical electives. | ||
Artificial Intelligence | ||
Two courses must be selected from the MSE in Artificial Intelligence (MSE-AI) core courses, and one additional course may be chosen from its core or technical electives. | ||
Software Systems and Cybersecurity | ||
Two courses must be selected from the MSE in Software Systems and Cybersecurity Online (MSE-SSC Online) core courses—one from the Software Systems core and one from the Cybersecurity core. One additional course may be chosen from its core or technical electives. | ||
| Total Course Units | 10 | |
- 1
Students must select three CU's from the Penn Engineering Online course offerings. Courses from other schools are not allowed.
- 2
Students must select one of the following concentrations: Data Science, Artificial Intelligence, or Software Systems and Cybersecurity.
Students must select from one of the following concentrations:
Data Science Concentration
| Code | Title | Course Units |
|---|---|---|
| Data Science Concentration Courses | ||
| Two CUs must be selected from the MSE in Data Science (MSE-DS) core courses: | 2 | |
| Big Data Analytics | ||
| Database and Information Systems | ||
| Machine Learning for Data Science | ||
| Statistics for Data Science | ||
| One additional CU may be chosen from MSE-DS core or from the MSE-DS technical electives listed below: | 1 | |
| Algorithms for Big Data | ||
| Artificial Intelligence | ||
| Natural Language Processing | ||
| GPU Computing for Machine Learning Systems | ||
| Computer Vision & Computational Photography | ||
| Data Science Capstone | ||
| Technology Ethics and the Legal Landscape | ||
| How to Use Data | ||
| Imaging Informatics | ||
| Medical Image Analysis | ||
| Generative AI for Virtual Environments | ||
| Principles of Deep Learning | ||
| Total Course Units | 3 | |
Artificial Intelligence Concentration
| Code | Title | Course Units |
|---|---|---|
| Artificial Intelligence Concentration Courses | ||
| Two CUs must be selected from the MSE in Artificial Intelligence (MSE-AI) core courses: | 2 | |
| Artificial Intelligence | ||
| Natural Language Processing | ||
| Internet and Web Systems | ||
or CIS 5690 | GPU Computing for Machine Learning Systems | |
| Machine Learning for Data Science | ||
| Statistics for Data Science | ||
| Principles of Deep Learning | ||
| Technology Ethics and the Legal Landscape | ||
| One additional CU may be chosen from MSE-AI core or from MSE-AI technical electives listed below: | 1 | |
| Algorithms for Big Data | ||
| Networked Systems | ||
| Computer Vision & Computational Photography | ||
CIS 5980 Artificial Intelligence Capstone | ||
| Total Course Units | 3 | |
Software Systems and Cybersecurity Concentration
| Code | Title | Course Units |
|---|---|---|
| Software Systems and Cybersecurity Concentration Courses | ||
| One CU must be selected from the MSE-SSC Software Systems core courses: | 1 | |
| Software Systems | ||
| Networked Systems | ||
| Internet and Web Systems | ||
| One CU must be selected from the MSE-SSC Cybersecurity core courses: | 1 | |
| Computer and Network Security | ||
| Cryptography | ||
CIS XXXX Secure System Engineering and Management (TBD) | ||
| One additional CU may be chosen from MSE-SSC core or from technical electives listed below: | 1 | |
| Software Analysis | ||
| Wireless Communications for Mobile Networks and Internet of Things | ||
| Big Data Analytics | ||
| Database and Information Systems | ||
| Cloud Technologies Practicum | ||
| Blockchains | ||
CIS XXXX Applied Cyber TBD | ||
CIS XXXX SSC Capstone TBD | ||
| Total Course Units | 3 | |
Sample Plan of Study
| First Year | ||
|---|---|---|
| Spring | Course Units | |
| EAS 5440 Technology, Innovation, and Entrepreneurship (MSE-TI Core) | 1 | |
| Course Units | 1.00 | |
| Summer | ||
| Free Elective | 1 | |
| Course Units | 1.00 | |
| Fall | ||
| ENGR 5400 | Engineering Economics (MSE-TI Core) | 1 |
| Course Units | 1.00 | |
| Second Year | ||
| Spring | ||
| Free Elective | 1 | |
| Course Units | 1.00 | |
| Summer | ||
| Concentration Course | 1 | |
| Course Units | 1.00 | |
| Fall | ||
| EAS 5070 | Intellectual Property and Business Law for Engineers (MSE-TI Core) | 1 |
| Course Units | 1.00 | |
| Third Year | ||
| Spring | ||
| Free Elective | 1 | |
| Course Units | 1.00 | |
| Summer | ||
| Concentration Course | 1 | |
| Course Units | 1.00 | |
| Fall | ||
| EAS 5470 | Engineering Product Management from Theory to Practice (MSE-TI Core) | 1 |
| Course Units | 1.00 | |
| Fourth Year | ||
| Spring | ||
| Concentration Course | 1 | |
| Course Units | 1.00 | |
| Total Course Units | 10.00 | |