Academic Programs

Advancing the future of education through rigorous academic study, research, and innovation in AI-powered learning technologies.

Academic Departments

Department of Computational Linguistics

Department Head: Dr. Sarah Martinez

AI-powered language learning and natural language processing

School of Digital Education

Department Head: Prof. Michael Chen

Educational technology and digital learning platforms

Department of Educational Analytics

Department Head: Dr. Elena Rodriguez

Machine learning applications in education

Institute for Learning Sciences

Department Head: Dr. James Thompson

Instructional design and learning theory

Course Catalog

Our comprehensive curriculum combines theoretical foundations with practical applications in educational technology and artificial intelligence.

AI-Powered Language Learning

4 credits 12 weeks

Department of Computational Linguistics

Comprehensive program focusing on AI-driven language acquisition methodologies, natural language processing, and personalized learning algorithms.

Course Details

Instructor: Dr. Sarah Martinez, Ph.D.

Schedule: Mon/Wed/Fri 10:00 AM - 11:30 AM

Course Codes: CL-401, CL-402, CL-403

Prerequisites

  • Basic Programming
  • Statistics Fundamentals

Educational Technology Systems

6 credits 16 weeks

School of Digital Education

Advanced study of educational technology platforms, learning management systems, and digital pedagogy principles.

Course Details

Instructor: Prof. Michael Chen, Ed.D.

Schedule: Tue/Thu 2:00 PM - 4:00 PM

Course Codes: ED-501, ED-502, ED-503, ED-504

Prerequisites

  • Educational Psychology
  • Technology Foundations

Machine Learning for Education

5 credits 14 weeks

Department of Educational Analytics

Exploration of machine learning applications in educational contexts, including predictive analytics and adaptive learning systems.

Course Details

Instructor: Dr. Elena Rodriguez, Ph.D.

Schedule: Mon/Wed 1:00 PM - 3:00 PM

Course Codes: ML-601, ML-602, ML-603

Prerequisites

  • Linear Algebra
  • Python Programming
  • Statistics

Instructional Design & AI Integration

3 credits 10 weeks

Institute for Learning Sciences

Principles of instructional design enhanced by artificial intelligence, focusing on curriculum development and assessment strategies.

Course Details

Instructor: Dr. James Thompson, Ph.D.

Schedule: Fri 9:00 AM - 12:00 PM

Course Codes: ID-301, ID-302

Prerequisites

  • Learning Theory
  • Educational Research Methods

Academic Calendar

For detailed information about enrollment periods, semester dates, and academic deadlines, please visit our academic calendar.

View Academic Calendar Contact Admissions