Meet Program Coordinator, Porsche Fischer
The Educational Statistics and AI program in Measurement and Quantitative Methods (MQM) prepare educators, researchers, and policy professionals to lead data driven improvement in education. Students learn advanced quantitative methods and modern artificial intelligence techniques to analyze complex educational data, inform policy, and design ethical, equity focused innovations in schools, districts, higher education, and agencies.
The Master of Arts in Educational Statistics and AI is a 30 credit, fully online degree built around ten 3 credit courses that integrate statistics, AI, measurement, ethics, and applied research.
Program Highlights
- Combine graduate level statistics, data science, and AI methods specifically tailored to education.
- Learn from nationally recognized MQM faculty in MSU’s top ranked College of Education.
- Complete a 30 credit, fully online MA or shorter graduate certificates that can ladder into the degree.
- Study in flexible formats designed for working professionals around the world.
- Emphasize ethical, responsible AI and data use in real educational settings.
Who the program is for:
These programs are designed for teachers, instructional leaders, analysts, institutional researchers, evaluators, policy staff, and data oriented educators who want to deepen their quantitative and AI skills while remaining focused on real educational problems.
Program Outcomes
Upon completion, students will be able to:
- Apply educational statistics and AI concepts to analyze complex data sets while complying with FERPA and COPPA privacy regulations.
- Interpret and ethically manage large-scale educational datasets to guide policy and practice.
- Identify and address educational challenges using data-driven approaches that are feasible and equitable.
- Implement AI tools responsibly to enhance learning outcomes, assessment, and educational equity.
- Complete a capstone project demonstrating advanced applied skills in educational data science.
Career Outlook
Educational Statistics and AI is a growing interdisciplinary field critical for modern education systems. As artificial intelligence continues to reshape education delivery and research, professionals equipped with AI and data science skills are increasingly sought after.
The need for leaders with expertise in data privacy, ethical AI, and large-scale data analysis is expanding in education agencies, research centers, technology vendors, and policy organizations. This program prepares graduates for a future-proof career making significant educational impact globally.
Career Pathways and Potential Earnings
| Target Occupation | Median Salary (USD) |
|---|---|
| Educational Data Scientist | $95,000 – $130,000 |
| Educational Research Analyst | $70,000 – $100,000 |
| AI Ethics Specialist in Education | $85,000 – $120,000 |
| Learning Analytics Manager | $90,000 – $140,000 |
| Education Policy Analyst | $65,000 – $95,000 |
Salary data sourced from industry reports and adjusted for educational roles.