Applied and Computational Mathematics and Statistics
The Applied and Computational Mathematics and Statistics program is a one-year full-time pathway designed for students and professionals seeking advanced knowledge in mathematical modeling, statistical analysis, and computational methods. Across two semesters, participants explore probability theory, statistical inference, numerical methods, and data-driven modeling, combining theoretical study with practical application. The curriculum emphasizes the integration of mathematical and statistical tools to solve complex problems in science, engineering, and industry. Through workshops, computational labs, and applied projects, participants develop analytical expertise, computational skills, problem-solving ability, and research proficiency, preparing them for careers in data analysis, research, or applied mathematics.
The program also focuses on applied research, interdisciplinary collaboration, and professional development. Students work closely with faculty mentors, engage in computational projects, and complete applied research initiatives that connect theoretical mathematics with real-world challenges. This immersive environment strengthens skills in statistical modeling, algorithm design, data interpretation, and scientific communication. Graduates leave the program equipped to pursue doctoral studies, conduct research, or apply mathematical and statistical methods in industry, positioning them for success in diverse fields that rely on quantitative and computational expertise.
Key information
Key Facts
- Program Title: Applied and Computational Mathematics and Statistics
- Degree Type: Master of Science
- Duration: 1 year
- Mode of Study: Full-time, On Campus
- Application Deadline: 15 January 2026
- Location: University of Notre Dame, United States
- Field of Study: Statistics
- Language of Instruction: English
Program Structure
Semester 1 - Foundations in Applied Mathematics and Statistics
• Probability and Statistical Inference
• Computational Methods and Algorithms
• Linear Algebra and Numerical Analysis
• Research Methods in Applied Mathematics
Semester 2 - Advanced Applied and Computational Practice
• Multivariate Statistics and Data Modeling
• Applied Computational Mathematics
• Optimization and Simulation Techniques
• Capstone Project / Applied Research
Career Opportunities
Graduates of this program are prepared for careers where advanced mathematical and statistical knowledge, computational skills, and applied research experience are essential. Potential career paths include data analyst, statistical consultant, quantitative researcher, operations analyst, and applied mathematician, where graduates apply analytical expertise and computational methods to solve complex problems, interpret data, and inform decision-making. The program equips students to work in industries such as finance, technology, research institutions, healthcare, and engineering, developing models, analyzing data, and supporting strategic initiatives. Graduates are also positioned for doctoral studies or advanced research roles, offering diverse and quantitative-focused career opportunities.
Why Choose This Program
This program provides a comprehensive and applied approach to statistical modeling, computational mathematics, data analysis, optimization techniques, and applied research. Participants benefit from mentorship by experienced mathematicians and statisticians, interactive workshops, and applied projects that integrate theory with real-world problem-solving. The curriculum emphasizes analytical reasoning, computational proficiency, and professional competence, preparing graduates to lead quantitative projects, develop data-driven solutions, and excel in mathematically intensive environments. Through immersive study, applied practice, and professional guidance, students gain the expertise, confidence, and technical skills necessary to succeed in careers in applied mathematics, statistics, and data science.
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
