Academic Programs
UNDERGRADUATE
B.S., Computer Science
B.S., Computer Engineering
B.S., Computer Engineering
The Allen School offers a rigorous and engaging undergraduate curriculum that prepares students to build successful careers, contribute to their communities and make an impact, wherever their degree takes them next.
GRADUATE
Full-time Ph.D.
Combined B.S./M.S
Professional Master’s Program
Graduate Certificate in Modern AI Methods
Combined B.S./M.S
Professional Master’s Program
Graduate Certificate in Modern AI Methods
The Allen School offers four distinctive graduate-level programs that enable students to advance their research or professional careers through robust educational, mentorship and growth opportunities.
POSTDOC
Ready to take the next step in your advanced research career?
The Allen School welcomes recent Ph.D. graduates seeking advanced research experience in a collegial and supportive environment on their way to an academic faculty or industry position.
Data Science Options
From deciphering the origins of disease to unlocking the mysteries of deepest space, scientific discovery — and scientific progress — are increasingly driven by data. The same holds true for technological innovation, as the proliferation of sensors in our phones, our cars, and even our buildings generate new insights into how we interact with our environment and with each other. Such data can be used to develop solutions to a range of problems, from pollution to public health — but only if we have the tools to analyze and extract meaningful insights.
The Allen School has been at the forefront of data science education and research. We currently offer two data science tracks — one geared toward undergraduate majors, and one for students enrolled in our full-time Ph.D. program — that enable participants to explore data science methods and tools and lead the next wave of data-driven discovery and innovation.
Leading-edge Curriculum
At the Allen School, students combine foundational courses that provide them with essential knowledge and skills to succeed in whatever career they choose.
Students can build upon this foundation and tailor their experience by choosing from a broad array of courses designed for in-depth exploration of current trends and future directions of the field — as well as consider the societal implications of computing innovation.
Featured Courses
Undergraduate Majors
Basic theory of quantum information and computation, including applications and phenomena. Builds from qubits, measurements, and quantum gates toward applications.
You may also be interested in:
CSE426: Cryptography
CSE426: Cryptography
Undergraduate Major
Theory and application of algorithms and probabilistic techniques for autonomous robotics. Covers topics related to state estimation, probabilistic motion and more.
You may also be interested in:
CSE447: Natural Language Processing
CSE447: Natural Language Processing
Undergraduate Major
Fundamentals of wireless communication. Reliable communication over noisy, unreliable channels. Signal to noise ratio, frequency domain analysis, bandwidth, etc.
You may also be interested in:
CSE493W: Advanced Special Topics: – Wireless Communications
CSE493W: Advanced Special Topics: – Wireless Communications
Other Educational Opportunities
Non-Major Options
Space is extremely limited in our majors-only classes and we often do not have space for students outside of the Allen School. Highly qualified non-majors can request space in these classes on a quarterly basis through our non-major enrollment request.
Interdiciplinary Options
The Allen School has helped shape and participates in several interdisciplinary programs and other educational opportunities beyond our core degree programs, both on and off the University of Washington’s Seattle campus. Other institutions in the region also have strong offerings.