Data Science
The Bachelor of Science in Data Science at the University of Michigan provides a comprehensive program for students interested in data analysis, computational methods, and big data applications. The curriculum emphasizes programming, statistics, machine learning, and data visualization, preparing students to extract insights from complex datasets and apply analytical methods to solve real world problems. Students engage in hands on projects, internships, and research, developing skills necessary to clean, analyze, and interpret large amounts of data effectively. This program cultivates both technical proficiency and analytical expertise, equipping graduates for careers in data science, analytics, and technology driven industries.
Learners explore interdisciplinary connections between computer science, mathematics, statistics, and business. The curriculum offers opportunities for applied projects, collaborative research, and internships, allowing students to study data modeling, predictive analytics, and data driven decision making. Through mentorship, practical assignments, and research experiences, students refine programming, analytical reasoning, and problem solving skills. With a focus on applied data analysis and computational methods, the program prepares graduates to contribute to technology companies, research labs, financial institutions, and public sector organizations that require data driven solutions.
Key information
Key Facts
- Program Title: Data Science
- 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: Data Science & Big Data
- Language of Instruction: English
Program Structure
Year 1 - Foundations in Data Science
• Introduction to Programming
• Calculus and Linear Algebra
• Fundamentals of Statistics
• Data Management and Visualization
Year 2 - Core Analytical Studies
• Probability and Statistical Modeling
• Data Structures and Algorithms
• Machine Learning Fundamentals
• Applied Data Analysis
Year 3 - Advanced Applications
• Big Data Analytics
• Predictive Modeling and AI
• Data Ethics and Policy
• Elective Modules in Applied Data Science
Year 4 - Capstone and Professional Integration
• Senior Research Project / Thesis
• Data Science in Industry and Society
• Seminar in Contemporary Data Science
• Professional Skills and Portfolio Development
Career Opportunities
Graduates of this program acquire advanced technical, analytical, and problem solving skills that prepare them for careers in data analysis, machine learning, business intelligence, artificial intelligence, and technology consulting. They develop expertise in statistical modeling, programming, and data interpretation, enabling them to extract actionable insights, design predictive models, and support data driven decision making. The program also prepares graduates for roles in research, finance, healthcare analytics, and governmental data projects, equipping them to apply data science solutions in diverse professional contexts. Graduates leave ready to contribute to innovative projects, improve decision making, and drive organizational performance with advanced data skills.
Why Choose This Program
This program is ideal for students seeking a curriculum that integrates data analysis with programming, machine learning, and applied research, offering mentorship, hands on projects, and internship opportunities. Learners benefit from faculty expertise, cutting edge tools, and rigorous coursework that strengthen computational, analytical, and problem solving skills. The curriculum emphasizes evidence based approaches, data ethics, and real world applications, preparing graduates to design predictive models, analyze complex datasets, and apply insights in professional settings. With its focus on applied proficiency and technical excellence, the program provides a dynamic academic environment for students aspiring to careers in data science, analytics, and technology innovation.
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
