Master of Science in Applied and Computational Mathematics and Statistics

The professional specialties in the Master of Science in Applied and Computational Mathematics and Statistics (P-MSACMS) trains students to solve complex real-world problems with statistical, mathematical,and computational modeling. This intensive 11-month program combines education in the discipline with training in business fundamentals and project work on practical problems.

We currently offer specialty tracks in computational finance, applied and computational mathematics, applied statistics, and predictive analytics that prepare students to become critical employees of a wide variety of businesses or organizations.

Since its founding in 1865, the University of Notre Dame’s College of Science has built upon the University’s world-renowned intellectual resources while building up the campus’s state-of-the-art infrastructure, the $70 million Jordan Hall of Science and its Digital Visualization Theater serving as the most recent example.

What hasn’t changed—and never will—is the University’s unwavering commitment to its Catholic character and the college’s mission to prepare tomorrow’s scientific leaders to think big while also inspiring them to make a difference, and to share their knowledge and discoveries in ways that encourage collaboration, advance learning, and contribute to the common good. This profound sense of unity of purpose is what sets us apart.

Guided by our common human curiosity and Catholic character, the College of Science at the University of Notre Dame undertakes its mission to prepare the scientific leaders of tomorrow, inspiring them to seek greater understanding of the natural world, to translate that knowledge into human improvement, and to share discoveries in ways that make a difference in society.

The College of Science is committed to fostering advancements that answer the world’s toughest questions and solve its most enduring problems. We are dedicated to providing our students with an exceptional education in an environment that encourages exploration, discovery, collaboration, and independent thinking in a place where each person’s unique contribution is valued.