Master of Science in Education Innovation
Program Overview
The Master of Education Innovation equips students with the technical, pedagogical, and leadership expertise needed to design, implement, and evaluate innovative learning systems. Integrating learning sciences, engineering design principles, and emerging applications of artificial intelligence, the program prepares graduates to evaluate the next generation of adaptive educational technologies that enhance teaching and learning across K–12 schools, higher education, and professional training environments.
Key Differentiators
Students will:
The Master of Science in Education Innovation encourages students to achieve the following educational outcomes:
Program Requirements
Explore degree and GPA requirements for acceptance, as well as how many hours and internship credits are needed to graduate from Westcliff’s Master of Science in Education Innovation program.
Admission Requirements
For acceptance into the Master of Science in Education Innovation (MSEI) degree program, applicants must have a Bachelor’s degree from an accredited university (or its equivalent from a recognized institution) with a minimum 2.5 cumulative GPA.
Practical Learning Experience Requirements
Westcliff University has integrated Practical Learning Experience (PLE) as a graduation requirement for the Master of Science in Education Innovation program.
- Can be satisfied by completing at least one credit-bearing internship course that is assessed on a Credit/No Credit basis.
- Students are encouraged to complete as many PLEs as their schedules permit.
- Internships may require a start date up to 30 days prior to the start of classes to meet the onboarding requirements of the professional workplace. Students wishing to meet this graduation requirement in this manner must notify the university in advance.
Graduation Requirements
Students must complete thirty-seven (37) prescribed credit hours, including 33 credit hours of Core courses, and three (3) credit hours of Capstone, with a program GPA (PGPA) of 3.0 or higher–and complete one (1) Practical Learning Experience (PLE) to graduate. Students must apply for graduation. Upon graduation and fulfillment of all academic requirements, students receive a Master of Science in Education Innovation degree.
Program Information
Course Delivery
Master of Science in Education Innovation – 37 Credit Hours
| Core Classes | 33 Credits |
| Practical Learning and Internship Classes | 1 Credit |
| Capstone Class | 3 Credits |
| Total Program Credit Requirements | 37 Credits |
Required Courses
Adaptive Learning Systems, Level: 600
This course explores the design and development of adaptive learning systems that use artificial intelligence to personalize instruction. Students examine AI-driven techniques used in educational technologies and design adaptive learning solutions that support personalized learning experiences. The course emphasizes testing and evaluating system performance in authentic educational contexts, including the use of real-time feedback to support learner engagement and improvement.
Computational Thinking, Level: 500
Strengthen analytical skills and demystify data to collect, process, and analyze data uncovering valuable insights, leveraging statistical tools and to create impactful reports and translating data into actionable recommendations, supported by the art of storytelling to drive informed decision-making.
Data Analytics for Learning, Level: 600
This course introduces students to the use of data analytics in educational settings to evaluate and improve learning outcomes. The course focuses on understanding learner behavior, evaluating instructional strategies and identifying patterns that support evidence-based decision making. Students will learn to transform complex data into meaningful visualizations that tell a story. By the end of the course students will be able to apply analytical insights to improve educational practices, design more effective learning experiences and communicate findings clearly to stakeholders.
Designing Human Technology Interaction, Level: 600
This course examines how learners interact with intelligent systems through UX/UI design, accessibility, and ergonomics. Students will design user-centered interfaces that enhance engagement and equity.
Design Thinking for Innovation, Level: 700
This course focuses on theoretical models and hands-on applications to investigate creative concepts and understand how new ideas are generated and developed into innovative solutions and entrepreneurial projects. The practicum component gives students invaluable experience by focusing on design thinking. As part of practicum, students produce deliverables for their employers or placement organizations, through a combination of readings, case studies, videos, discussions, and practical assignments, where they will learn to apply frame innovation to create novel solutions, solve problems, and foster new thinking in their respective fields.
Ethics, Policy, and Governance, Level: 500
Address ethical implications of AI, data privacy, intellectual property, and algorithmic bias. Develop policy briefs for responsible technology adoption in educational institutions.
Global and Sustainable Integration, Level: 500
This course explores how artificial intelligence and emerging educational technologies operate within global ecosystems. Students examine contexts to evaluate access, sustainability, and system resilience. Emphasis is placed on assessing technology‑enabled practices through ethical, equity‑focused, and sustainability frameworks as well as developing evidence‑based strategies for integrating technologies responsibly in varied cultural, economic, and policy environments.
Leadership for Innovation and Change, Level: 500
This course equips students with the skills needed to drive innovation and lead organizational change. Explore leadership theories, change management models, interdisciplinary team building, and design and systems thinking approaches in education to drive sustainable improvements.
Learning Engineering Fundamentals, Level: 600
Explore how educational neuroscience informs instructional design while developing practical skills and a curated professional portfolio. The course connects learning science to real‑world constraints and the needs of diverse stakeholders and learning environments.
Optimize Outcomes with AI and Technology Integration, Level: 500
This course equips participants with the skills to design impactful, learner-centered digital learning experiences through a structured, hands-on approach. Across eight practical steps, the course addresses essential elements of course design, including defining learning outcomes, choosing instructional strategies, incorporating interactivity, and assessing progress. Participants will explore online tools to enhance collaboration, content creation, assessments, and multimedia integration. A key focus is on the transformative role of Artificial Intelligence in education, teaching learners how to use AI tools to optimize course design and delivery effectively. The practicum provides students with project-based learning experience, allowing them to apply classroom knowledge to real-world problems. Students create deliverables for employers or placement organizations, informing key decisions while building confidence and bridging theory with practice.
Strategies and Innovation for AI-Driven Transformation, Level: 500
This course explores the transformative power of artificial intelligence (AI) in educational settings. Students will discover how AI technologies enhance learning, streamline administration, and promote accessibility. Students will develop approaches to implement AI in teaching, research, and institutional decision-making. The course emphasizes ethical considerations, teacher-AI collaboration, and future trends, equipping students to lead AI-powered change in education.
The Capstone: Applied Research Project, Level: 600
Identify a real-world challenge, design a technology-enhanced educational intervention, and assess its impact using applied research methods with industry or school partners.
Course Catalog and Student Handbook
Learn more about this program and life at Westcliff University by downloading the course catalog and student handbook.
Scholarship Opportunities
Westcliff is committed to nurturing a diverse student body and a workforce that is equipped with the skills and varied life experiences that are essential for building an ethical, equitable AI-powered society. To that end, Westcliff offers numerous scholarship and grant opportunities.
Scholarship Application
As a Westcliff student, you have access to a powerful network of support from staff, faculty, alumni, and many others who take pride in investing in you. Scholarships are made possible by generous benefactors who are passionate about supporting your success.