Higher Education - Institutional Research
The Higher Education - Institutional Research Master of Arts program at University of Michigan provides an in-depth curriculum for students aiming to develop expertise in data-driven decision making and research in higher education settings. The program integrates statistical methods, institutional assessment, policy analysis, and organizational research to enable students to collect, analyze, and interpret data that informs strategic planning and institutional effectiveness. Students engage in applied research projects, case studies, and field experiences, developing skills to evaluate programs, improve policies, and enhance institutional outcomes. The program emphasizes data-driven decision making, applied research, and evidence-based strategies, preparing graduates to support informed decision making in colleges and universities.
As a one and a half year full time program, it offers a structured schedule that combines theoretical foundations with practical applications and research experiences. Students strengthen their competencies in quantitative analysis, data interpretation, and institutional evaluation, applying statistical tools and research methodologies to real-world challenges. The program equips graduates to design and implement assessment strategies, evaluate student and institutional performance, and contribute to effective planning and policy development in higher education environments.
Key information
Key Facts
- Program Title: Higher Education - Institutional Research
- Degree Type: Master of Arts
- Duration: 1,5 years
- Mode of Study: Full-time, On Campus
- Application Deadline: 05 January 2026
- Location: University of Michigan, United States
- Field of Study: Higher Education
- Language of Instruction: English
Program Structure
Semester 1 - Foundations in Institutional Research
• Introduction to Higher Education Research
• Quantitative Methods for Institutional Analysis
• Data Management and Interpretation
• Policy and Organizational Assessment
Semester 2 - Applied Research and Analysis
• Program Evaluation in Higher Education
• Statistical Modeling and Analytics
• Reporting and Institutional Decision Support
• Applied Fieldwork in Institutional Research
Semester 3 - Advanced Research and Capstone
• Advanced Analytics for Higher Education
• Strategic Planning and Policy Analysis
• Capstone Research Project
• Seminar in Institutional Research
Career Opportunities
Graduates of this program pursue careers in higher education, research, and institutional assessment where data analysis and evaluation are critical. Many work as institutional researchers, assessment coordinators, policy analysts, or higher education consultants, applying their expertise to collect, analyze, and interpret data that informs strategic decisions. Others continue to doctoral studies or contribute to educational research organizations. The program’s emphasis on applied research, quantitative methods, and institutional assessment ensures graduates are prepared to support evidence-based decision making and enhance institutional effectiveness.
Why Choose This Program
Students choose this program for its combination of applied research, quantitative analysis, and institutional assessment skills, which equips them to inform policy and strategic planning in higher education. The curriculum emphasizes data-driven decision making, program evaluation, and applied analytics, preparing learners to deliver actionable insights and improve institutional performance. Students benefit from faculty expertise, hands-on fieldwork, and applied projects that enhance both technical and professional competencies. By focusing on institutional research in higher education, the program ensures graduates are prepared to lead assessment initiatives, support strategic planning, and contribute meaningfully to evidence-based institutional improvements.
Contact Information
For further information, please contact the admissions office at:
Phone: 734-764-8129
Email: rackadmis@umich.edu
Address: Graduate Admissions Office, University of Michigan, Ann Arbor, MI 48109, USA
