

The Bachelor of Science in Mathematical Sciences at the University of Michigan offers a rigorous program designed to develop strong analytical, logical, and problem-solving skills. Students explore core areas such as calculus, algebra, statistics, and applied mathematics, while also gaining exposure to computational methods and mathematical modeling. The curriculum emphasizes critical thinking, mathematical reasoning, and quantitative analysis, allowing students to approach complex problems with precision and creativity. Through collaborative projects, research opportunities, and applied exercises, learners gain practical experience in applying mathematical theories to real-world scenarios in science, technology, and industry.
Beyond theoretical knowledge, students explore interdisciplinary applications of mathematics in fields such as data science, engineering, finance, and computational modeling. Coursework integrates problem-solving strategies, applied mathematics techniques, and quantitative reasoning, preparing graduates for both professional and academic pathways. With a focus on applied mathematics and computational proficiency, graduates are equipped to pursue careers in analytics, research, education, finance, and technology, as well as advanced studies in mathematics, statistics, or related disciplines, making a significant impact across multiple professional domains.
Year 1 - Foundations in Mathematical Sciences
• Calculus I and II
• Linear Algebra
• Introduction to Mathematical Proofs
• Computer Programming for Mathematics
Year 2 - Intermediate Mathematical Applications
• Multivariable Calculus
• Probability and Statistics
• Differential Equations
• Applied Mathematical Modeling
Year 3 - Advanced Mathematical Studies
• Abstract Algebra
• Real Analysis
• Numerical Methods and Computational Techniques
• Electives in Applied or Pure Mathematics
Year 4 - Capstone and Professional Integration
• Senior Thesis or Research Project
• Advanced Topics in Mathematics
• Mathematical Modeling Seminar
• Professional Development and Portfolio Preparation
Graduates acquire expertise in statistical analysis, computational modeling, quantitative research, data analytics, and problem solving. They are prepared for careers as data analysts, quantitative researchers, financial analysts, operations researchers, and educators in academic institutions, industry, government, and research organizations. The program also provides a strong foundation for graduate studies in mathematics, statistics, computer science, or applied fields. Graduates leave ready to apply mathematical techniques to solve real-world problems, contribute to technological advancements, and provide analytical insight in diverse professional settings.
This program is ideal for students seeking a curriculum that emphasizes critical reasoning, applied mathematics, and problem-solving strategies. Learners engage in rigorous coursework, research projects, and computational exercises that enhance analytical thinking, technical skill, and professional competence. The curriculum integrates theory with practical applications, providing opportunities to explore interdisciplinary fields such as data science, engineering, and finance. With its focus on quantitative analysis, computational proficiency, and applied problem solving, the program equips students to excel in mathematics careers, research roles, and advanced studies while preparing them to tackle complex challenges across multiple professional domains.
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