Photo of two students at a computer

Mathematics, Statistics, and Computer Science

Discover how mathematical and computational thinking connect you to the world.

We intentionally integrate Math, Statistics, & Computer Science, connecting within and beyond fields

Our liberal arts approach to Mathematics, Statistics, and Computer Science (MSCS) means you don’t have to give up other aspects of yourself to succeed. Our faculty make connections with a broad range of fields across the liberal arts, so our courses connect different disciplinary perspectives. MSCS students can major in mathematics, applied math and statistics, or computer science. We also offer a minor in data science. Our forward-looking, innovative curriculum is project-based, so you’ll collaborate on real, fun, projects on small teams, gaining critical-thinking and problem-solving skills that apply to any career.

All are welcome in MSCS

We value diversity and inclusion. We’re proud that 43 percent of our recent graduating majors identified as women and 7 percent as non-binary. Although there’s still room for improvement, we’re committed to a climate of mutual respect, free of discrimination, that is equitable, inclusive, and welcoming.

No matter your background, there’s a place for you here. Whether you are just starting your journey in MSCS or have prior experience, check out our advice about the Math, Applied Math and Statistics, or Computer Science majors to get started.

Why study MSCS at Macalester?

  • All majors take foundational courses in multiple disciplines within MSCS
  • Students have opportunities to work as peer mentors in the classroom, and take part in student/faculty summer research projects like robotics, computing and agriculture, and media data science
  • Our department offers strong gender diversity among our students and faculty members
  • Our most experienced professors often lead our introductory classes

MSCS in the cities

There are over 200+ internship sites within 8 miles of campus at nonprofits, start-ups, and Fortune 500 companies.


Local MSCS alumni stop by often to lecture about topics in our fields and chat with you about their careers.


The Twin Cities are home to annual tech, analytics, and data science conferences like Minnebar and MinneMUDAC that are also open to students.

Life after Macalester

Public health; finance, management, and economic consulting; software; education; insurance; banking; and any field you can imagine when you put your mind—and your MSCS training—to it.

Join our community

Our friendly department welcomes you, and offers a great mix of fun and scholarly events:

Bounce House? We’ve got it. Our annual fall Block Party features games, the aforementioned Bounce House, food, and fun.

At our annual MSCS and Society Lecture, you’ll hear from experts in our fields and enhance your classroom learning.

We also host weekly coffee get-togethers, challenging competitions, and events like DataFest (Mac’s got one of the biggest gatherings in the nation).

Department happenings
Math Professor Tom Halverson receives the 2020 Thomas Jefferson Award

The award was established in 1961 by the Robert Earll McConnell Foundation to honor faculty members who exemplify the best principles and ideals of Thomas Jefferson. Read more about Tom’s accomplishments in the award citation. Congratulations Tom!

Emeritus Professor Stan Wagon published a new book: Bicycle or Unicycle?: A Collection of Intriguing Mathematical Puzzles

Available at https://bookstore.ams.org/prb-36, Bicycle or Unicycle? is a collection of 105 mathematical puzzles selected from the Macalester Problem of the Week archive. Each puzzle in the collection was selected because of its surprising solution. Give them a try!

Phuong Vu awarded Outstanding PhD Student Award

Macalester and MSCS alumna Phuong Vu (class of 2013) has been awarded the Outstanding PhD Student Award in Biostatistics as part of the University of Washington’s 2019 School of Public Health Excellence Awards. Phuong research interests are in statistical modeling, visualization, and analysis of dependent data.  She develops statistical methods and machine learning techniques for spatially correlated and high-dimensional data, and her research is motivated by applications in environmental epidemiology, public health, and medicine.  Join us in congratulating Phuong on this fantastic achievement!