|
Sep 10, 2024
|
|
|
|
2024-2025 Graduate Catalog
Learning Sciences, M.S. (Online)
|
|
Program Description
The 30-credit online Master of Science in learning sciences program integrates cognitive science, data science, instructional design, embodied cognition, technology-enhanced immersive learning, and research-based problem solving in a curriculum that emphasizes both pedagogical and research skills. Specializations are available in student technology design and learning analytics.
All courses are offered in a flexible online delivery mode, and students may elect to participate in an optional on-campus immersion experience. Students may begin the program in either the fall semester or the spring semester and expect to complete it in as few as two years.
Admission Requirements
Applicants must provide/demonstrate the following:
- Bachelor’s degree from an accredited institution in the United States or proof of equivalent training at a university outside the United States. Official transcript(s) showing degree confirmed must be received prior to matriculation. Unofficial transcript(s) may be used during the application process. Transcripts from countries outside the United States must be accompanied by an official transcript evaluation from a recognized SMU evaluation agency.
- Minimum undergraduate GPA of 3.0. Applicants whose GPA falls below 3.0 must request an exemption to the GPA requirement by submitting a letter explaining why an exception should be made, such as long-term experience, expertise in a related specialized field, or Graduate Record Examination (GRE) score. The GRE is not required for students who meet the minimum GPA.
- Essay response to a writing prompt (submitted as a part of the online application)
- Two letters of recommendation
- Current resume
Curriculum
Core courses totaling 15 credits with an additional 15 credits from one or both of the two specializations.
|
Core Courses (15 Credit Hours)
Specialization Modules (15 Credit Hours)
Choose one of the specializations below or a combination of 15 credit-hours from both specializations.
Learning Analytics Specialization
- EDU 63XX - Introduction to Learning Analytics
- EDU XXXX - Data Modeling and the Learning Sciences (3 credit hours)
- EDU 63XX - Data, Education and Society
- EDU 63XX - Advanced Methods in Learning Analytics
- EDU 63XX - Elective Course, Student Choice from other specialization
Learning and Technology Design Specialization
- EDU 63XX - Immersive Learning Design
- EDU 63XX - Embodied Learning Design
- EDU 63XX - Video Games and Virtual Environments for Learning
- EDU 63XX - Understanding, Representing and Analyzing Human Experiences
- EDU 63XX - Elective Course, Student Choice from other specialization
|
|
|