Data Science
The Master of Science in Data Science at the University of Michigan offers an in depth academic structure where students explore the full spectrum of modern analytics, computational modeling, and data driven decision making. The program allows learners to build strong proficiency in statistical reasoning, machine learning, and advanced computational tools while developing a clear understanding of how large scale data systems operate across industries. Through rigorous coursework and research informed training, students gain the ability to evaluate complex datasets, design analytical models, and apply quantitative methods to real world problems that require precision, scalability, and thoughtful interpretation. This environment helps learners cultivate a professional mindset grounded in analytical clarity and technical competence.
The curriculum also encourages students to examine how data science interacts with domains such as business, engineering, social systems, and public policy, allowing them to connect computational techniques with broader societal contexts. Guided by faculty who are actively engaged in research and industry partnerships, students refine their skills in predictive modeling and data visualization while strengthening their ability to translate analytical findings into strategic insights. As they participate in applied projects and collaborative research, learners develop confidence in handling unstructured data, evaluating model performance, and applying programming based problem solving to diverse challenges. By program completion, students possess a mature understanding of the data science landscape and the practical abilities needed to contribute meaningfully in technical and interdisciplinary environments
Key information
Key Facts
- Program Title: Data Science
- Degree Type: Master of Science
- Duration: 1 year
- Mode of Study: Full-time, On Campus
- Application Deadline: 15 January 2026
- Location: University of Michigan, United States
- Field of Study: Data Science & Big Data
- Language of Instruction: English
Program Structure
Semester 1 - Core Data Science Foundations
• Applied Statistical Methods
• Machine Learning Principles
• Data Management and Processing
• Programming for Analytical Modeling
Semester 2 - Applied Analytics and Research Practice
• Advanced Machine Learning
• Big Data Systems and Infrastructure
• Data Visualization and Interpretation
• Applied Data Science Project
Career Opportunities
Graduates of this program are well prepared for technical and analytical roles across sectors where data intensive decision making is central to organizational performance. Many pursue positions in data analysis, machine learning engineering, business intelligence, and quantitative research, contributing to projects that involve predictive modeling, system optimization, algorithm development, or large scale data pipeline design. Others join consulting firms, technology companies, financial institutions, or research organizations where their ability to interpret complex datasets and develop computational solutions supports strategic planning and operational efficiency. The program also provides strong preparation for positions in emerging innovation areas such as digital health analytics, smart infrastructure planning, and AI assisted research environments. For those seeking academic advancement, the degree offers a solid foundation for doctoral pathways in data science, computer science, or computational fields that rely heavily on advanced analytical reasoning.
Why Choose This Program
Students select this program for its combination of rigorous methodology, advanced computational training, and research oriented analytical depth, all of which provide a strong foundation for modern data driven careers. The curriculum encourages learners to strengthen technical problem solving skills through hands on projects that mirror industry expectations, while faculty mentorship supports the development of a structured and confident research mindset. With opportunities to engage in applied analysis, collaborate on interdisciplinary challenges, and work with real datasets, students gain practical experience that enhances their readiness for high level professional roles. By completing this program, learners build a competitive profile grounded in data centered expertise, equipping them to make meaningful contributions within rapidly evolving analytical environments.
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
