Survey and Data Science
The Master of Science in Survey and Data Science at the University of Michigan provides a comprehensive academic program for students seeking to build advanced skills in statistical analysis, survey methodology, and data driven decision making. The program integrates mathematical foundations with applied techniques, enabling learners to handle complex datasets, design surveys, and extract actionable insights across diverse research and industry settings. Through a combination of theoretical coursework, computational exercises, and research guided projects, students gain the ability to solve real world problems using rigorous analytical frameworks. This approach ensures development of quantitative expertise and methodological rigor, preparing graduates for the growing demands of data intensive professions.
Students join a dynamic scholarly community that emphasizes analytical thinking, precision, and professional preparedness. The curriculum is designed to help learners explore survey design, statistical modeling, data visualization, and computational tools while fostering an understanding of ethical and practical challenges in data collection and analysis. Opportunities for applied projects, research seminars, and collaborative work allow students to refine their technical abilities while strengthening critical reasoning and problem solving skills. With its emphasis on data driven inquiry and research excellence, the program prepares graduates to contribute meaningfully in roles where advanced statistical knowledge and survey methodology are highly valued.
Key information
Key Facts
- Program Title: Survey and Data Science
- Degree Type: Master of Science
- Duration: 2 years
- Mode of Study: Full-time, On Campus
- Application Deadline: 03 January 2026
- Location: University of Michigan, United States
- Field of Study: Mathematics
- Language of Instruction: English
Program Structure
Semester 1 - Foundations in Survey and Data Science
• Statistical Methods for Data Analysis
• Survey Methodology and Sampling Techniques
• Probability Theory and Applied Mathematics
• Introduction to Computational Tools
Semester 2 - Intermediate Analysis and Modeling
• Regression and Multivariate Analysis
• Data Management and Visualization
• Design and Implementation of Surveys
• Applied Statistical Computing
Semester 3 - Advanced Methods and Specialization
• Machine Learning for Data Science
• Bayesian Statistics and Inference
• Elective in Data Analytics or Survey Design
• Research Methods in Survey Science
Semester 4 - Research Project and Professional Development
• Capstone Project in Survey or Data Science
• Advanced Data Modeling Techniques
• Applied Research Seminar
• Professional Portfolio and Presentation
Career Opportunities
Graduates of this program develop advanced analytical, computational, and research oriented skills that qualify them for careers in data analysis, survey research, public policy research and market analytics. These capabilities are valuable in governmental agencies, private research firms, non profit organizations, technology companies and consulting firms where interpreting complex data and designing robust surveys is critical. Students gain experience in designing, managing and analyzing datasets, allowing them to contribute to evidence based decision making, program evaluation and strategic planning. The program equips graduates to work effectively in interdisciplinary teams, handle real world data challenges, and provide solutions that require both statistical precision and applied understanding.
Why Choose This Program
This program is an excellent choice for students seeking a curriculum that combines strong theoretical foundations with practical data applications, providing exposure to both survey science and advanced statistical techniques. Learners benefit from expert faculty guidance, hands on computational exercises, and opportunities to engage in research projects that strengthen problem solving, modeling and analytical skills. The curriculum encourages critical thinking, methodological precision and the ability to interpret complex datasets effectively, preparing students for professional success in diverse sectors. With its focus on advanced statistical training and applied research experience, the program provides a rigorous and supportive environment for students aiming to become leaders in the growing field of data science and survey methodology.
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
