Mathematical and Computational Science - Statistics Track
The Mathematical and Computational Science – Statistics Track Bachelor of Science program at the University of Stanford offers an interdisciplinary education that combines mathematics, computational methods, and statistical theory to address complex problems across science, business, and technology. Over four years of full-time, on-campus study, students gain a strong foundation in calculus, linear algebra, probability, and statistical inference, while developing advanced skills in programming, data analysis, and modeling. The program emphasizes quantitative reasoning, computational proficiency, data interpretation, and problem-solving, equipping students with the expertise to extract meaningful insights from complex datasets and apply statistical methodologies to real-world challenges. Through rigorous coursework, applied projects, and collaborative exercises, learners develop the capacity to tackle analytical problems with precision and creativity.
The curriculum also encourages interdisciplinary applications, integrating knowledge from computer science, economics, and applied sciences to enhance students’ ability to approach data-driven questions from multiple perspectives. Students engage in faculty-led research, practical labs, and elective courses covering topics such as machine learning, stochastic processes, statistical modeling, and high-dimensional data analysis. By combining theoretical understanding with applied experience, learners gain the skills needed to conduct data-driven research, design predictive models, perform computational simulations, and contribute to solutions in diverse fields ranging from finance to biomedical research. Graduates leave the program with a robust analytical toolkit and the computational expertise necessary to pursue advanced study or careers in statistics and data-intensive industries.
Key information
Key Facts
- Program Title: Mathematical and Computational Science - Statistics Track
- Degree Type: Bachelor of Science
- Duration: 4 years
- Mode of Study: Full-time, On Campus
- Application Deadline: 05 January 2026
- Location: Stanford University, United States
- Field of Study: Statistics
- Language of Instruction: English
Program Structure
Year 1 – Foundations in Mathematics and Computational Methods
• Calculus I & II
• Linear Algebra
• Introduction to Programming
• Foundations of Statistics
Year 2 – Core Statistical Theory & Analytical Methods
• Probability Theory
• Statistical Inference
• Computational Modeling
• Electives in Mathematical Applications or Data Science
Year 3 – Advanced Statistics & Computational Techniques
• Regression Analysis and Time Series
• Multivariate Statistics
• Stochastic Processes
• Electives in Machine Learning, Bayesian Statistics, or Biostatistics
Year 4 – Independent Research & Capstone Project
• Statistical Research Project
• Advanced Topics in Computational Statistics
• Senior Seminar
• Capstone Portfolio and Presentation
Career Opportunities
Graduates are equipped to work in data analytics firms, financial institutions, research laboratories, tech companies, and government agencies, where statistical expertise and computational skills are highly valued. They can pursue positions such as data analyst, statistical consultant, quantitative researcher, biostatistician, machine learning specialist, or operations analyst. The program also provides excellent preparation for graduate studies in statistics, mathematics, data science, or related fields. With strong training in computational methods, data interpretation, and statistical modeling, alumni are positioned to contribute effectively to data-driven decision-making and research innovation across public, private, and academic sectors.
Why Choose This Program
This program is ideal for students seeking a rigorous education that combines mathematical foundations, computational expertise, statistical theory, and practical data applications. Its curriculum balances theoretical learning with applied problem-solving, enabling students to develop skills in modeling, data analysis, and predictive research. With access to experienced faculty, computational laboratories, and collaborative research projects, learners gain both the technical expertise and analytical mindset required to excel in data-driven careers. The program’s integration of mathematics, computation, and statistics ensures graduates are well-prepared to tackle complex problems, innovate in research, and succeed in fields where quantitative and analytical skills are essential.
Contact Information
For further information, please contact the admissions office at:
Phone: +1 650 000 0000
Email: admissions@standord.edu
Address: University of Standord, 450 Serra Mall, Stanford, CA 94305, United States
