Artificial Intelligence & Learning Analytics
Master of Education Sciences
Shape the future of education through data-driven insights and AI innovations.
Program Overview
The UC Irvine School of Education is excited to launch a cutting-edge graduate program, the Master of Education Sciences with a concentration in Artificial Intelligence & Learning Analytics. This innovative, fully online 12-month part-time program is designed for high-achieving graduates and working professionals seeking advanced expertise in learning analytics and AI. While the program offers the flexibility of online learning, students are strongly encouraged to attend an in-person orientation and final capstone event at UCI. The curriculum, delivered by esteemed faculty, balances theoretical insights with practical applications, making it accessible to individuals from diverse academic and professional backgrounds.
Program Highlights
|
Typical course load
Vertical Divider
|
UC Irvine's School of Education offers a degree of Master of Education Sciences, with a concentration in Artificial Intelligence & Learning Analytics. This terminal degree program will be administered by the School of Education. The program will offer high-performing graduates and working professionals the opportunity for efficient and effective graduate-level training in the emerging discipline of AI & learning analytics. This will be a 12-month part-time program that will begin with one course at the end of summer, followed by two courses each in fall, winter, spring, and summer, and culminating in a capstone and graduation event.
The Master of Education Sciences will be offered as a fully online program, but students who are able to will be strongly encouraged to attend the first week of courses and final culminating event at UC Irvine. The program will be open to college graduates from a range of majors as well as working professionals. The program will be staffed by faculty in the School of Education and will focus on both theoretical and applied knowledge in using advanced tools to analyze learning. An industry and professional advisory board will assist in developing and promoting career opportunities for graduates who will find employment in schools and universities, the business sector, and nongovernmental organizations. |
Curriculum
|
Introduction to Educational Data Science |
Introduction to AI in Education |
Foundations of Learning Analytics |
|
Educational Statistics and Data Analysis |
Data Visualization and Communication |
Applications of AI in Education |
|
Educational Research and Evaluation |
Special Topics in AI & Learning Analytics |
Capstone in AI & Learning Analytics |
Students have one course the first summer which are conducted via a one-week program at Irvine, Calif. and three follow-up weeks online. Students then have two online courses each in fall, winter, spring, and summer, followed by a two-day capstone event in Irvine. Students are highly encouraged to join the one-week introduction and the two-day capstone in person, but may participate remotely if in-person attendance is not possible.
Students in these courses will master the following:
Students in these courses will master the following:
- knowledge of the conceptual and theoretical principles from learning and cognitive sciences that underlie the field of learning analytics
- the ability to use major applications to access, clean, manage, and analyze data from digital learning platforms
- the ability to effectively communicate learning analytics results through writing and visualizations
- an understanding of the ethical responsibilities of a learning analytics professional and of how to comply with them
Lead Faculty
|
|
|
Core Faculty
|
|
|
|
|
