Applied and Computational Mathematics and Statistics
The Applied and Computational Mathematics and Statistics program at Notre Dame University offers a rigorous curriculum that fuses mathematical theory, data science, and real-world problem solving. Students engage deeply with applied mathematics, statistical analysis, and computational methods to tackle challenges in fields such as biology, economics, engineering, and the social sciences. This program not only builds strong analytical thinking but also equips students with the tools to model complex systems and make data-driven decisions.
With a balance of core theory and hands-on application, students gain experience in mathematical modeling, statistical inference, algorithm development, and scientific computing. The curriculum is designed to reflect the growing demand for professionals who can bridge the gap between mathematics and its practical use in technology, research, and industry. Supported by expert faculty and modern computational facilities, students are prepared for diverse careers or graduate studies in applied mathematics, statistics, or data-intensive fields.
Key information
Key Facts
- Program Title: Applied and Computational Mathematics and Statistics
- Degree Type: Bachelor of Science
- Duration: 4 years
- Mode of Study: Full-time, On Campus
- Application Deadline: 03 January 2026
- Location: University of Notre Dame, United States
- Field of Study: Applied Mathematics
- Language of Instruction: English
Program Structure
Year 1 – Mathematical Foundations
- Calculus I & II
- Linear Algebra
- Introduction to Programming
- Principles of Statistics
- Mathematical Reasoning
Year 2 – Core Applied Concepts
- Multivariable Calculus
- Probability Theory
- Statistical Methods
- Discrete Mathematics
- Introduction to Data Science
Year 3 – Computational Applications
- Differential Equations
- Computational Statistics
- Regression and Time Series
- Algorithms and Data Structures
- Elective in Applied Modeling
Year 4 – Integration and Research
- Advanced Statistical Computing
- Machine Learning or Optimization
- Capstone Project or Research Seminar
- Elective in Scientific Computing
- Seminar in Ethics and Data Use
Career Opportunities
Graduates of this program are exceptionally well-suited for careers where mathematical precision meets practical impact. Opportunities span across data science, quantitative finance, biomedical research, engineering analytics, and government agencies. Roles such as statistical analyst, operations researcher, actuarial consultant, machine learning engineer, and computational biologist are common paths. Many also pursue advanced degrees in statistics, applied mathematics, computer science, or econometrics. The program’s strong emphasis on computational thinking and applied problem solving ensures graduates are prepared to meet the demands of a data-driven world, adapting easily to evolving industries and technological landscapes.
Why Choose This Program
This program is ideal for students who want to develop a mathematically rigorous yet practically relevant education. At Notre Dame, students benefit from a curriculum that integrates mathematics with computational and statistical tools, preparing them to address complex challenges in science, business, and policy. The blend of academic excellence, interdisciplinary learning, and real-world application makes this degree uniquely valuable. With faculty support, research opportunities, and strong industry connections, students graduate ready to lead in data-centric roles. If you're seeking a path that combines logic, innovation, and societal impact, this program offers an exceptional foundation for future success.
Contact Information
For further information, please contact the admissions office at:
Phone: +1 574 631 5000
Email: admissions@nd.edu
Address: University of Notre Dame, Notre Dame, IN 46556, United States
