Develop advanced expertise in SEO strategy, AI, and analytics. Learn to lead optimization initiatives and enhance digital visibility through intelligent automation — 100% online.
The Master of Science in SEO program delivers a deep foundation in algorithmic search systems, applied analytics, and machine learning for digital marketing. Graduates gain the technical and strategic skills required to lead data-driven SEO operations.
Understand how search engines index, rank, and evaluate content at technical and strategic levels.
Explore machine learning’s impact on automation, personalization, and analytics-driven performance.
Use LLMs to enhance keyword clustering, semantic optimization, and content quality.
Leverage data visualization, predictive modeling, and KPIs to measure and forecast SEO outcomes.
Implement scalable architectures using schema markup, crawl automation, and API-driven reporting.
Deliver a full-scale optimization campaign using AI-powered analysis and performance metrics.
No GRE/GMAT required. A bachelor’s degree with foundational knowledge in marketing, communication, or analytics is recommended.
Typically completed in 18 months. Courses are offered in 8-week flexible sessions.
Standard tuition: $465 per credit hour. Partner discount: $310 per credit. Financial aid available.
No — applicants from diverse academic backgrounds are welcome. Basic digital literacy is expected.
Most students complete the program in approximately 18 months of full-time study.
Yes — students complete a capstone project integrating AI and analytics for real-world SEO solutions.