Statistics
The Bachelor of Science in Statistics at the University of Michigan provides a rigorous program for students seeking a strong foundation in statistical theory, data analysis, and applied methodologies. The curriculum emphasizes probability, statistical modeling, computational techniques, and research methods, preparing students to analyze complex data sets and make informed decisions across diverse fields. Students engage in applied projects, computational labs, and research exercises, developing skills necessary to interpret data, design experiments, and apply evidence based analytical techniques. This program cultivates both technical proficiency and analytical expertise, equipping graduates to succeed in academic, research, and professional environments.
Learners participate in an interdisciplinary environment where statistics intersects with mathematics, computer science, and social sciences. The curriculum offers opportunities for applied data analysis, computational modeling, and statistical research, allowing students to explore real world datasets, develop predictive models, and implement quantitative solutions. Through mentorship, research projects, and collaborative exercises, students refine problem solving, computational, and communication skills. With a focus on applied knowledge and evidence based methodology, the program prepares graduates to work in research, analytics, finance, healthcare, and technology sectors, applying statistical expertise to solve practical problems.
Key information
Key Facts
- Program Title: Statistics
- Degree Type: Bachelor of Science
- Duration: 4 years
- Mode of Study: Full-time, On Campus
- Application Deadline: 01 February 2026
- Location: University of Michigan, United States
- Field of Study: Statistics
- Language of Instruction: English
Program Structure
Year 1 - Foundations in Statistics
• Introduction to Statistics
• Calculus and Linear Algebra
• Probability and Random Variables
• Statistical Software and Programming
Year 2 - Core Methods and Analysis
• Statistical Inference
• Regression and Predictive Modeling
• Experimental Design and Sampling
• Applied Data Analysis
Year 3 - Advanced Applications and Research
• Multivariate Analysis
• Time Series and Forecasting
• Statistical Computing
• Elective Modules in Statistics or Related Fields
Year 4 - Capstone and Professional Integration
• Senior Research Project / Thesis
• Advanced Statistical Modeling
• Data Science Applications
• Seminar in Applied Statistics
Career Opportunities
Graduates of this program acquire advanced statistical, analytical, and computational skills that prepare them for careers in data analytics, financial modeling, research institutions, healthcare analytics, and technology companies. They develop expertise in designing experiments, interpreting complex datasets, and implementing evidence based solutions, enabling them to support decision making and strategy in diverse industries. The program also prepares graduates for roles in applied research, consulting, and data driven policy making. Graduates leave equipped to manage large datasets, develop predictive models, and contribute to innovation in data science, finance, public health, and technology sectors.
Why Choose This Program
This program is ideal for students seeking a curriculum that integrates statistical theory with computational methods, applied research, and data driven problem solving, offering mentorship, collaborative projects, and hands on learning experiences. Learners benefit from faculty expertise, applied coursework, and rigorous training that strengthen analytical, computational, and communication skills. The curriculum emphasizes evidence based methodology, practical applications, and professional development, preparing graduates to tackle complex statistical challenges and innovate in analytics. With its focus on analytical excellence and applied proficiency, the program provides a comprehensive academic environment for students aspiring to careers in data science, research, finance, healthcare, and technology.
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
