4 Years On Campus Bachelors Program
Offered by the Paul G. Allen School of Computer Science & Engineering, the Data Science Option within the Bachelor of Engineering in Computer Science and Engineering (CSE) equips students with the computational, mathematical, and software skills necessary to extract knowledge from massive data sets and build intelligent systems. The program merges the foundational elements of computing with data-driven problem-solving techniques to address complex societal challenges.
The Allen School is widely recognized as one of the top 10 computer science programs in the U.S. according to U.S. News & World Report. Students benefit from access to cutting-edge labs, research initiatives, and industry connections in the Seattle tech hub.
Computer Science & Engineering in Data Science:
This specialized option trains students to build data-driven systems using advanced computing techniques. Emphasizing AI, scalable computing, data management, and algorithmic thinking, it prepares graduates for high-impact roles in technology, research, and engineering.
General Education Requirements:
Basic Skills: English composition, quantitative reasoning
Areas of Inquiry: Natural World, Individuals & Societies, Arts
Major Requirements:
Mathematics: Calculus, linear algebra, probability, statistics
Core Computer Science: Programming, data structures, algorithms, software engineering, systems
Data Science Option:
Modern Artificial Intelligence and Machine Learning
Data Management for Data Science
Software Design for Data Science
Scalable Data Systems and Algorithms
Advanced Electives (examples):
Machine learning
Computer vision
Natural language processing
Data mining
Robotics
Computational biology
Free Electives:
Additional coursework to meet the 180-credit requirement
Prerequisites:
Core coursework in programming, math, and systems
Several courses require prior knowledge of Python, linear algebra, and statistics
Hands-on projects in machine learning and big data systems
Access to robotics, AI, and computer vision labs
Opportunities for undergraduate research and industry internships
Participation in capstone projects, hackathons, and open-source collaboration
Access to Seattle-based internships through partnerships with Amazon, Microsoft, Meta, and more
Graduates are highly sought after in tech, healthcare, finance, and academia
Strong preparation for graduate studies in CS, AI, or Data Science at top universities
Alumni employed at leading firms like Google, Microsoft, NVIDIA, Amazon, and national research labs
Supported by career services, faculty mentorship, and industry-sponsored projects
Admission is capacity-constrained and highly competitive, especially for transfer and continuing students
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