What will I learn?

Mathematics is the common language of modern science, engineering, and business. Techniques of mathematical modeling and data analysis are key instruments in the tool kit of modern practitioners and researchers in a wide array of disciplines. ACMS is an interdisciplinary program in the mathematical sciences that provides sound training in mathematical modeling, scientific computation, mathematical reasoning, and statistical analysis. The program is jointly administered by the Departments of Applied Mathematics, Computer Science and Engineering, Mathematics, and Statistics, offering students access to their combined resources. An ACMS major is an excellent stepping stone to a career in engineering and the physical, life, and management sciences.

The ACMS program offers a Bachelor of Science degree that builds on the strengths of the four mathematical sciences departments as well as the many quantitatively oriented departments across campus. All students complete a core set of courses developing basic skills in modeling, computation, mathematics, and statistics. Students choose one of the eight option areas listed below for further training and specialization.

Biological and Life Sciences focuses on basic techniques of mathematical modeling and computing that are employed in the life sciences.

Discrete Mathematics and Algorithms gives students a broad background in mathematics and computation with special emphasis on discrete mathematics and its application to optimization and algorithm design.

Engineering and Physical Sciences is an excellent choice for students with an interest in the physical world and classical areas of applied mathematics.

Mathematical Economics provides a firm foundation in applied and computational mathematics as well as a basic grounding in economic theory.

Operations Research provides a firm foundation in the mathematical tools of operations research, particularly optimization and stochastic modeling (effective summer quarter 2018, admission suspended until further notice).

Scientific Computing and Numerical Algorithms focuses on the design, mathematical analysis, and efficient implementation of numerical algorithms for such problems.

Social and Behavioral Sciences provides a foundation in commonly used statistical and computational techniques followed by flexibility in pursuing different sets of advanced courses.

Data Science and Statistics focuses on building, using, and interpreting statistical models from scientific or engineering data.

Learning Objectives and Expected Outcomes: The ACMS degree emphasizes the development of advanced skills in discrete and continuous mathematical modeling, computing and scientific computation, mathematical reasoning and analytic skills, and statistical reasoning and analytic skills. Students develop an expertise at an advanced level in an applications area. This set of skills provides the basis for careers in a wide array of quantitative disciplines including engineering; the physical, life, and social sciences; as well as business and management sciences. In addition, the ACMS program has developed partnerships with a number of departments on campus to facilitate the pursuit of double majors.

Which department am I in?

College of Arts and Sciences

Study options

Full Time (180 credit hours)

Tuition fees
US$39,114.00 per year
Start date

Expected June, September 2022

Venue

University of Washington

Schmitz Hall, 1410 NE Campus Parkway,

SEATTLE,

Washington,

98195, United States

Entry requirements

For students from United States

Other English Language Requirements: 580 paper-based TOEFL.

For international students

Student must have a High School Qualification.

Due to limited testing availability from COVID-19, the UW will accept the Duolingo’s English Test for autumn 2021 applicants. A minimum score of 105 will be required for admission. The TOEFL iBT special home edition and the IELTS Indicator at home exam will also be accepted for 2021 international freshman applicants.

English proficiency

TOEFL (iBT) - Minimum score required: 76, Recommended score: 92 or higher

IELTS - Minimum score required: 6.0, Recommended score: 7.0 or higher

*There may be different IELTS requirements depending on your chosen course.

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