Course Schedule
View an example of a full-time course schedule below.
Year 1
Fall Semester
Principles of Learning and Motivation for Design | EDUC 503 | 3 Units
Understand design and advancement of learning and motivation outcomes in various environments through a systematic examination and application of current research.
Data-Informed Learning Design A| EDUC 598a| 2 Units
Explore research design, data collection, assessment and evaluation methods.
Introduction to Computational Thinking and Data Science |DSCI 549| 4 Units
Introduction to data analysis techniques and associated computing concepts for non-programmers.
Spring Semester
Designing Inclusive and Accessible Instruction | EDUC 591 | 3 units
Examine various research designs and their appropriateness for addressing different research questions, threats to validity and other challenges in research, and basic statistical methods and their use.
Principles of Programming for Data Science | DSCI 510| 4 Units
Programming in Python for retrieving, searching and analyzing data from the Web. Learning to manipulate large data sets.
Year 2
Fall Semester
AI and Learning Technologies A | EDUC 565A | 3 Units
Explore current and emerging generative AI and other educational technologies to enhance learning and instructional design.
Data Science at Scale | DSCI 550| 4 Units
Big data informatics fundamentals. Data lifecycle; the data scientist; machine learning; data mining; NoSQL databases; tools to store, process, analyze large data sets on clusters.
Spring Semester
AI and Learning Technologies B | EDUC 565B | 3 Units
Design AI-enhanced, multimedia-rich learning experiences.
Data-Informed Learning Design C | EDUC 598C | 2 Units
Analyze and present data using visualizations and other formats. Apply data insights to support decision-making
Viterbi Elective | 4 Units
Elective Course
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