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Overview
Overview
ECT students explore cutting-edge research in cognitive and learning sciences while gaining hands-on skills to design and evaluate digital learning technologies. ECT graduates shape impactful experiences in education, ed tech and media companies, workplace settings, nonprofits, and beyond. Learn more on the official NYU website.
ECT offers two Master's degrees, a PhD degree and one undergraduate minor in Digital Studies. See degree requirements for each below.
Required Courses (12 credits)
EDCT-GE 2174 Foundations of Cognitive Sciences
EDCT-GE 2175 Foundations of the Learning Sciences
EDCT-GE 2158 Design Process for Learning Experiences
EDCT-GE 2015 User Experience Design
Electives Courses, including optional internship (12-18 credits) see official NYU site for full list
Thesis Capstone Project (6 credits, 2 semesters)
Total Credits: 30-36
Master of Science (M.S.)
Master of Science (M.S.)
Required Courses (18 credits)
EDCT-GE 2174 Foundations of Cognitive Sciences
EDCT-GE 2175 Foundations of the Learning Sciences
EDCT-GE 2500 Games and Play in Education
EDCT-GE 2505 Designing Simulations/Games for Learning
EDCT-GE 2510 Narrative, Digital Media, and Learning
EDCT-GE 2520 User Research Methods
Electives Courses, including optional internship (12 credits) see official NYU site for full list
Thesis Capstone Project (6 credits, 2 semesters)
Total Credits: 36
Doctor of Philosophy (PhD)
Doctor of Philosophy (PhD)
Required Courses (9 credits)
EDCT-GE 2174 Foundations of Cognitive Sciences
EDCT-GE 2175 Foundations of the Learning Sciences
EDCT-GE 3076 Advanced Seminar in Research and Practice in Educational Technology
Instructional Design Courses (15 credits)
Research Courses (18 credits)
Specialized Research Method (3 credits)
Dissertation Proposal Seminar (3 credits)
Cognates, professional electives related to specialization (6 credits)
see official NYU site for full list
Total Credits: 36-54
Minor in Digital Studies
Minor in Digital Studies
Required Courses (8 credits)
EDCT-UE 1010 Being Digital: How the Internet Works and Why It Is Important (4 credits)
EDCT-UE 1041 Fundamentals of Information Technology & Artificial Intelligence (4 credits)
Elective Courses (8 credits from any of the following courses. See the full list here.)
EDCT-UE 1042 Creativity and Artificial Intelligence (4 credits)
APSTA-UE 25 Carpe Datum: Data Science for Life's Big Questions (4 credits)
MCC-UE 3 History of Media & Communication (4 credits)
MCC-UE 1423 AI and Society (4 credits)
MCC-UE 1571 Rise of Internet Media (4 credits)
see official NYU site for full list
Total Credits: 16
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